API

ee.Algorithms.CannyEdgeDetector

Applies the Canny edge detection algorithm to an image. The output is an image whose bands have the same names as the input bands, and in which non-zero values indicate edges, and the magnitude of the value is the gradient magnitude.

Usage	Returns
ee.Algorithms.CannyEdgeDetector(image, threshold, sigma)	Image

Argument	Type	Details
image	Image	The image on which to apply edge detection.
threshold	Float	Threshold value. The pixel is only considered for edge detection if the gradient magnitude is higher than this threshold.
sigma	Float, default: 1	Sigma value for a gaussian filter applied before edge detection. 0 means apply no filtering.

ee.Algorithms.Collection

Returns a Collection containing the specified features.

Usage	Returns
ee.Algorithms.Collection(features)	FeatureCollection

Argument	Type	Details
features	List	The features comprising the collection.

ee.Algorithms.CrossCorrelation

Gives information on the quality of image registration between two (theoretically) co-registered images. The input is two images with the same number of bands. This function outputs an image composed of four bands of information. The first three are distances: the deltaX, deltaY, and the Euclidean distance for each pixel in imageA to the pixel which has the highest corresponding correlation coefficient in imageB. The fourth band is the value of the correlation coefficient for that pixel [-1 : +1].

Usage	Returns
ee.Algorithms.CrossCorrelation(imageA, imageB, maxGap, windowSize, maxMaskedFrac)	Image

Argument	Type	Details
imageA	Image	First image, with N bands.
imageB	Image	Second image, must have the same number of bands as imageA.
maxGap	Integer	The greatest distance a pixel may shift in either X or Y.
windowSize	Integer	Size of the window to be compared.
maxMaskedFrac	Float, default: 0	The maximum fraction of pixels within the correlation window that are allowed to be masked. This test is applied at each offset location within the search region. For each offset, the overlapping image patches are compared and a correlation score computed. A pixel within these overlapping patches is considered masked if either of the patches is masked there. If the test fails at any single location in the search region, the ouput pixel for which the correlation is being computed is considered invalid, and will be masked.

ee.Algorithms.Date

Creates a Date.

Usage	Returns
ee.Algorithms.Date(value, timeZone)	Date

Argument	Type	Details
value	Object	A number (interpreted as milliseconds since 1970-01-01T00:00:00Z), or string such as '1996-01-01' or '1996-001' or '1996-01-01T08:00'.
timeZone	String, default: null	The time zone (e.g. 'America/Los_Angeles'); defaults to UTC.

ee.Algorithms.Describe

Describes an object using a simple JSON-compatible structure.

Usage	Returns
ee.Algorithms.Describe(input)	Object

Argument	Type	Details
input	Object	The object to describe.

ee.Algorithms.Dictionary

Constructs a dictionary.

Usage	Returns
ee.Algorithms.Dictionary(input)	Dictionary

Argument	Type	Details
input	Object, default: null	An object to convert to a dictionary. Either a JSON dictionary or a list of alternating key/value pairs. Keys must be strings.

ee.Algorithms.FMask.fillMinima

Fills local minima. Only works on INT types.

Usage	Returns
ee.Algorithms.FMask.fillMinima(image, borderValue, neighborhood)	Image

Argument	Type	Details
image	Image	The image to fill.
borderValue	Long, default: null	The border value.
neighborhood	Integer, default: 50	The size of the neighborhood to compute over.

ee.Algorithms.FMask.matchClouds

Runs the FMask cloud and shadow matching. Outputs a single band ('csm'), containing the computed cloud and shadow masks.

Usage	Returns
ee.Algorithms.FMask.matchClouds(input, cloud, shadow, btemp, sceneLow, sceneHigh, neighborhood)	Image

Argument	Type	Details
input	Image	The scene for which to compute cloud and shadow masks.
cloud	Image	Potential cloud mask image. Expected to contain 1s for cloudy pixels and masked pixels everywhere else.
shadow	Image	Potential shadow mask image. Expected to contain 1s for shadow pixels and masked pixels everywhere else.
btemp	Image	Brightness temperature image, in Celsius.
sceneLow	Float	The 0.175 percentile brightness temperature of the scene.
sceneHigh	Float	The 0.825 percentile brightness temperature of the scene.
neighborhood	Integer, default: 50	The neighborhood to pad around each tile.

ee.Algorithms.Feature

Returns a Feature composed of the given geometry and metadata.

Usage	Returns
ee.Algorithms.Feature(geometry, metadata, geometryKey)	Feature

Argument	Type	Details
geometry	Geometry, default: null	The geometry of the feature.
metadata	Dictionary, default: {}	The properties of the feature.
geometryKey	String, default: null	Obsolete; has no effect.

ee.Algorithms.GeometryConstructors.LineString

Constructs a LineString from the given coordinates.

Usage	Returns
ee.Algorithms.GeometryConstructors.LineString(coordinates, crs, geodesic)	Geometry

Argument	Type	Details
coordinates	List	The list of Points or pairs of Numbers in x,y order.
crs	Projection, default: null	The coordinate reference system of the coordinates. The default is the projection of the inputs, where Numbers are assumed to be EPSG:4326.
geodesic	Boolean, default: null	If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth. The default is the geodesic state of the inputs, or true if the inputs are numbers.

ee.Algorithms.GeometryConstructors.LinearRing

Constructs a LinearRing from the given coordinates, automatically adding the first point at the end if the ring is not explicitly closed.

Usage	Returns
ee.Algorithms.GeometryConstructors.LinearRing(coordinates, crs, geodesic)	Geometry

Argument	Type	Details
coordinates	List	The list of Points or pairs of Numbers in x,y order.
crs	Projection, default: null	The coordinate reference system of the coordinates. The default is the projection of the inputs, where Numbers are assumed to be EPSG:4326.
geodesic	Boolean, default: null	If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth. The default is the geodesic state of the inputs, or true if the inputs are numbers.

ee.Algorithms.GeometryConstructors.MultiGeometry

Constructs a MultiGeometry from the given list of geometry elements.

Usage	Returns
ee.Algorithms.GeometryConstructors.MultiGeometry(geometries, crs, geodesic, maxError)	Geometry

Argument	Type	Details
geometries	List	The list of geometries for the MultiGeometry.
crs	Projection, default: null	The coordinate reference system of the coordinates. The default is the projection of the inputs, where Numbers are assumed to be EPSG:4326.
geodesic	Boolean, default: null	If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth. The default is the geodesic state of the inputs, or true if the inputs are numbers.
maxError	ErrorMargin, default: null	Max error when input geometry must be reprojected to an explicitly requested result projection or geodesic state.

ee.Algorithms.GeometryConstructors.MultiLineString

Constructs a MultiLineString from the given coordinates.

Usage	Returns
ee.Algorithms.GeometryConstructors.MultiLineString(coordinates, crs, geodesic, maxError)	Geometry

Argument	Type	Details
coordinates	List	The list of LineStrings, or to wrap a single LineString, the list of Points or pairs of Numbers in x,y order.
crs	Projection, default: null	The coordinate reference system of the coordinates. The default is the projection of the inputs, where Numbers are assumed to be EPSG:4326.
geodesic	Boolean, default: null	If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth. The default is the geodesic state of the inputs, or true if the inputs are numbers.
maxError	ErrorMargin, default: null	Max error when input geometry must be reprojected to an explicitly requested result projection or geodesic state.

ee.Algorithms.GeometryConstructors.MultiPoint

Constructs a MultiPoint from the given coordinates.

Usage	Returns
ee.Algorithms.GeometryConstructors.MultiPoint(coordinates, crs)	Geometry

Argument	Type	Details
coordinates	List	The list of Points or pairs of Numbers in x,y order.
crs	Projection, default: null	The coordinate reference system of the coordinates. The default is the projection of the inputs, where Numbers are assumed to be EPSG:4326.

ee.Algorithms.GeometryConstructors.MultiPolygon

Constructs a MultiPolygon from the given coordinates.

Usage	Returns
ee.Algorithms.GeometryConstructors.MultiPolygon(coordinates, crs, geodesic, maxError, evenOdd)	Geometry

Argument	Type	Details
coordinates	List	A list of Polygons, or for one simple polygon, a list of Points or pairs of Numbers in x,y order.
crs	Projection, default: null	The coordinate reference system of the coordinates. The default is the projection of the inputs, where Numbers are assumed to be EPSG:4326.
geodesic	Boolean, default: null	If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth. The default is the geodesic state of the inputs, or true if the inputs are numbers.
maxError	ErrorMargin, default: null	Max error when input geometry must be reprojected to an explicitly requested result projection or geodesic state.
evenOdd	Boolean, default: true	If true, polygon interiors will be determined by the even/odd rule, where a point is inside if it crosses an odd number of edges to reach a point at infinity. Otherwise polygons use the left-inside rule, where interiors are on the left side of the shell's edges when walking the vertices in the given order.

ee.Algorithms.GeometryConstructors.Point

Constructs a new Point from the given x,y coordinates.

Usage	Returns
ee.Algorithms.GeometryConstructors.Point(coordinates, crs)	Geometry

Argument	Type	Details
coordinates	List	The coordinates of this Point in x,y order.
crs	Projection, default: null	The coordinate reference system of the coordinates. The default is the projection of the inputs, where Numbers are assumed to be EPSG:4326.

ee.Algorithms.GeometryConstructors.Polygon

Constructs a Polygon from the given coordinates.

Usage	Returns
ee.Algorithms.GeometryConstructors.Polygon(coordinates, crs, geodesic, maxError, evenOdd)	Geometry

Argument	Type	Details
coordinates	List	A list of LinearRings where the first is the shell and the rest are holes, or for a simple polygon, a list of Points or pairs of Numbers in x,y order.
crs	Projection, default: null	The coordinate reference system of the coordinates. The default is the projection of the inputs, where Numbers are assumed to be EPSG:4326.
geodesic	Boolean, default: null	If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth. The default is the geodesic state of the inputs, or true if the inputs are numbers.
maxError	ErrorMargin, default: null	Max error when input geometry must be reprojected to an explicitly requested result projection or geodesic state.
evenOdd	Boolean, default: true	If true, polygon interiors will be determined by the even/odd rule, where a point is inside if it crosses an odd number of edges to reach a point at infinity. Otherwise polygons use the left-inside rule, where interiors are on the left side of the shell's edges when walking the vertices in the given order.

ee.Algorithms.GeometryConstructors.Rectangle

Constructs a rectangular polygon from the given corner points.

Usage	Returns
ee.Algorithms.GeometryConstructors.Rectangle(coordinates, crs, geodesic, evenOdd)	Geometry

Argument	Type	Details
coordinates	List	The low and then high corners of the Rectangle, as a list of Points or pairs of Numbers in x,y order.
crs	Projection, default: null	The coordinate reference system of the coordinates. The default is the projection of the inputs, where Numbers are assumed to be EPSG:4326.
geodesic	Boolean, default: null	If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth. The default is the geodesic state of the inputs, or true if the inputs are numbers.
evenOdd	Boolean, default: true	If true, polygon interiors will be determined by the even/odd rule, where a point is inside if it crosses an odd number of edges to reach a point at infinity. Otherwise polygons use the left-inside rule, where interiors are on the left side of the shell's edges when walking the vertices in the given order.

ee.Algorithms.HillShadow

Creates a shadow band, with output 1 where pixels are illumunated and 0 where they are shadowed. Takes as input an elevation band, azimuth and zenith of the light source in degrees, a neighborhood size, and whether or not to apply hysteresis when a shadow appears. Currently, this algorithm only works for Mercator projections, in which light rays are parallel.

Usage	Returns
ee.Algorithms.HillShadow(image, azimuth, zenith, neighborhoodSize, hysteresis)	Image

Argument	Type	Details
image	Image	The image to which to apply the shadow algorithm, in whicheach pixel should represent an elevation in meters.
azimuth	Float	Azimuth in degrees.
zenith	Float	Zenith in degrees.
neighborhoodSize	Integer, default: 0	Neighborhood size.
hysteresis	Boolean, default: false	Use hysteresis. Less physically accurate, but may generate better images.

ee.Algorithms.HoughTransform

Applies the Hough transform to an image. For every input band, outputs a band where lines are detected by thresholding the Hough transform with a value of lineThreshold. The output band is named [input]_lines, where [input] is the name of the original band. The defaults provided for the parameters are intended as a starting point for use with UINT8 images.

Usage	Returns
ee.Algorithms.HoughTransform(image, gridSize, inputThreshold, lineThreshold, smooth)	Image

Argument	Type	Details
image	Image	The image to which to apply the transform.
gridSize	Integer, default: 256	Grid size.
inputThreshold	Float, default: 64	Value threshold for input image. Pixels equal to or above this value are considered active.
lineThreshold	Float, default: 72	Threshold for line detection. Values equal to or above this threshold on the Hough transform are considered to be detected lines.
smooth	Boolean, default: true	Whether to smooth the Hough transform before line detection.

ee.Algorithms.If

Selects one of its inputs based on a condition, similar to an if-then-else construct.

Usage	Returns
ee.Algorithms.If(condition, trueCase, falseCase)	Object

Argument	Type	Details
condition	Object, default: null	The condition that determines which result is returned. If this is not a boolean, it is interpreted as a boolean by the following rules:   - Numbers that are equal to 0 or a NaN are false.   - Empty strings, lists and dictionaries are false.   - Null is false.   - Everything else is true.
trueCase	Object, default: null	The result to return if the condition is true.
falseCase	Object, default: null	The result to return if the condition is false.

ee.Algorithms.Image.Segmentation.GMeans

Performs G-Means clustering on the input image. Iteratively applies k-means followed by a normality test to automatically determine the number of clusters to use. The output contains a 'clusters' band containing the integer ID of the cluster that each pixel belongs to. The algorithm can work either on a fixed grid of non-overlapping cells (gridSize, which can be smaller than a tile) or on tiles with overlap (neighborhoodSize). The default is to use tiles with no overlap. Clusters in one cell or tile are unrelated to clusters in another. Any cluster that spans a cell or tile boundary may receive two different labels in the two halves. Any input pixels with partial masks are fully masked in the output. This algorithm is only expected to perform well for images with a narrow dynamic range (i.e. bytes or shorts).

See: G. Hamerly and C. Elkan. 'Learning the k in k-means'. NIPS, 2003.

Usage	Returns
ee.Algorithms.Image.Segmentation.GMeans(image, numIterations, pValue, neighborhoodSize, gridSize, uniqueLabels)	Image

Argument	Type	Details
image	Image	The input image for clustering.
numIterations	Integer, default: 10	Number of iterations. Default 10.
pValue	Float, default: 50	Significance level for normality test.
neighborhoodSize	Integer, default: 0	Neighborhood size. The amount to extend each tile (overlap) when computing the clusters. This option is mutually exclusive with gridSize.
gridSize	Integer, default: null	Grid cell-size. If greater than 0, kMeans will be run independently on cells of this size. This has the effect of limiting the size of any cluster to be gridSize or smaller. This option is mutually exclusive with neighborhoodSize.
uniqueLabels	Boolean, default: true	If true, clusters are assigned unique IDs. Otherwise, they repeat per tile or grid cell.

ee.Algorithms.Image.Segmentation.KMeans

Performs K-Means clustering on the input image. Outputs a 1-band image containing the ID of the cluster that each pixel belongs to. The algorithm can work either on a fixed grid of non-overlapping cells (gridSize, which can be smaller than a tile) or on tiles with overlap (neighborhoodSize). The default is to use tiles with no overlap. Clusters in one cell or tile are unrelated to clusters in another. Any cluster that spans a cell or tile boundary may receive two different labels in the two halves. Any input pixels with partial masks are fully masked in the output.

Usage	Returns
ee.Algorithms.Image.Segmentation.KMeans(image, numClusters, numIterations, neighborhoodSize, gridSize, forceConvergence, uniqueLabels)	Image

Argument	Type	Details
image	Image	The input image for clustering.
numClusters	Integer, default: 8	Number of clusters.
numIterations	Integer, default: 20	Number of iterations.
neighborhoodSize	Integer, default: 0	Neighborhood size. The amount to extend each tile (overlap) when computing the clusters. This option is mutually exclusive with gridSize.
gridSize	Integer, default: null	Grid cell-size. If greater than 0, kMeans will be run independently on cells of this size. This has the effect of limiting the size of any cluster to be gridSize or smaller. This option is mutually exclusive with neighborhoodSize.
forceConvergence	Boolean, default: false	If true, an error is thrown if convergence is not achieved before numIterations.
uniqueLabels	Boolean, default: true	If true, clusters are assigned unique IDs. Otherwise, they repeat per tile or grid cell.

ee.Algorithms.Image.Segmentation.SNIC

Superpixel clustering based on SNIC (Simple Non-Iterative Clustering). Outputs a band of cluster IDs and the per-cluster averages for each of the input bands. If the 'seeds' image isn't provided as input, the output will include a 'seeds' band containing the generated seed locations. See: Achanta, Radhakrishna and Susstrunk, Sabine, 'Superpixels and Polygons using Simple Non-Iterative Clustering', CVPR, 2017.

Usage	Returns
ee.Algorithms.Image.Segmentation.SNIC(image, size, compactness, connectivity, neighborhoodSize, seeds)	Image

Argument	Type	Details
image	Image	The input image for clustering.
size	Integer, default: 5	The superpixel seed location spacing, in pixels. If 'seeds' image is provided, no grid is produced.
compactness	Float, default: 1	Compactness factor. Larger values cause clusters to be more compact (square). Setting this to 0 disables spatial distance weighting.
connectivity	Integer, default: 8	Connectivity. Either 4 or 8.
neighborhoodSize	Integer, default: null	Tile neighborhood size (to avoid tile boundary artifacts). Defaults to 2 * size.
seeds	Image, default: null	If provided, any non-zero valued pixels are used as seed locations. Pixels that touch (as specified by 'connectivity') are considered to belong to the same cluster.

ee.Algorithms.Image.Segmentation.seedGrid

Selects seed pixels for clustering.

Usage	Returns
ee.Algorithms.Image.Segmentation.seedGrid(size, gridType)	Image

Argument	Type	Details
size	Integer, default: 5	The superpixel seed location spacing, in pixels.
gridType	String, default: "square"	Type of grid. One of 'square' or 'hex'.

ee.Algorithms.IsEqual

Returns whether two objects are equal.

Usage	Returns
ee.Algorithms.IsEqual(left, right)	Boolean

Argument	Type	Details
left	Object, default: null
right	Object, default: null

ee.Algorithms.Landsat.TOA

Calibrates Landsat DN to TOA reflectance and brightness temperature for Landsat and similar data. For recently-acquired scenes calibration coefficients are extracted from the image metadata; for older scenes the coefficients are derived from:

 Chander, Gyanesh, Brian L. Markham, and Dennis L. Helder. "Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors." Remote sensing of environment 113.5 (2009): 893-903.

Usage	Returns
ee.Algorithms.Landsat.TOA(input)	Image

Argument	Type	Details
input	Image	The Landsat image to process.

ee.Algorithms.Landsat.calibratedRadiance

Calibrates each band of an image by applying linear transformation with slope RADIANCE_MULT_BAND_N and y-intercept RADIANCE_ADD_BAND_N; these values are extracted from the image metadata.

Usage	Returns
ee.Algorithms.Landsat.calibratedRadiance(image)	Image

Argument	Type	Details
image	Image	The input Landsat image.

ee.Algorithms.Landsat.pathRowLimit

Limits requests to an ImageCollection of Landsat scenes to return a controllable number of the best scenes for each request. This is intended for use with statistical algorithms like median composites that need a certain amount of good data to perform well, but that do not benefit substantially from additional data beyond that while becoming needlessly expensive. The default arguments select approximately one year's worth of good data.

Note that in rare circumstances, when the tile boundary aligns with a Landsat WRS cell bounadry, queries for adjacent tiles may yield conflicting results. This is why it is important that this algorithm only be used with statistical methods that can tolerate these inconsistencies.

Usage	Returns
ee.Algorithms.Landsat.pathRowLimit(collection, maxScenesPerPathRow, maxScenesTotal)	ImageCollection

Argument	Type	Details
collection	ImageCollection	The Landsat ImageCollection to limit.
maxScenesPerPathRow	Integer, default: 25	The max number of scenes to return per path/row.
maxScenesTotal	Integer, default: 100	The max number of scenes to return per request total.

ee.Algorithms.Landsat.simpleCloudScore

Computes a simple cloud-likelihood score in the range [0,100] using a combination of brightness, temperature, and NDSI. This is not a robust cloud detector, and is intended mainly to compare multiple looks at the same point for *relative* cloud likelihood.

Usage	Returns
ee.Algorithms.Landsat.simpleCloudScore(image)	Image

Argument	Type	Details
image	Image	The Landsat TOA image to process.

ee.Algorithms.Landsat.simpleComposite

Computes a Landsat TOA composite from a collection of raw Landsat scenes. It applies standard TOA calibration and then assigns a cloud score to each pixel using the SimpleLandsatCloudScore algorithm. It selects the lowest possible range of cloud scores at each point and then computes per-band percentile values from the accepted pixels. This algorithm also uses the LandsatPathRowLimit algorithm to select only the least-cloudy scenes in regions where more than maxDepth input scenes are available.

Usage	Returns
ee.Algorithms.Landsat.simpleComposite(collection, percentile, cloudScoreRange, maxDepth, asFloat)	Image

Argument	Type	Details
collection	ImageCollection	The raw Landsat ImageCollection to composite.
percentile	Integer, default: 50	The percentile value to use when compositing each band.
cloudScoreRange	Integer, default: 10	The size of the range of cloud scores to accept per pixel.
maxDepth	Integer, default: 40	An approximate limit on the maximum number of scenes used to compute each pixel.
asFloat	Boolean, default: false	If true, output bands are in the same units as the Landsat.TOA algorithm; if false, TOA values are converted to uint8 by multiplying by 255 (reflective bands) or subtracting 100 (thermal bands) and rounding to the nearest integer.

ee.Algorithms.ProjectionTransform

Transforms the geometry of a feature to a specific projection.

Usage	Returns
ee.Algorithms.ProjectionTransform(feature, proj, maxError)	Feature

Argument	Type	Details
feature	Element	The feature the geometry of which is being converted.
proj	Projection, optional	The target projection. Defaults to WGS84. If this has a geographic CRS, the edges of the geometry will be interpreted as geodesics. Otherwise they will be interpreted as straight lines in the projection.
maxError	ErrorMargin, default: null	The maximum projection error.

ee.Algorithms.String

Converts the input to a string.

Usage	Returns
ee.Algorithms.String(input)	String

Argument	Type	Details
input	Object	The object to convert.

ee.Algorithms.TemporalSegmentation.Ewmacd

Exponentially Weighted Moving Average Change Detection. This algorithm computes a harmonic model for the 'training' portion of the input data and subtracts that from the original results. The residuals are then subjected to Shewhart X-bar charts and an exponentially weighted moving average. Disturbed pixels are indicated when the charts signal a deviation from the given control limits.

 The output is a 5 band image containining the bands:

    ewma: a 1D array of the EWMA score for each input image. Negative values represent disturbance and positive values represent recovery.

    harmonicCoefficients: A 1-D array of the computed harmonic coefficient pairs. The coefficients are ordered as [constant, sin0, cos0, sin1, cos1...]

    rmse: the RMSE from the harmonic regression.

    rSquared: r-squared value from the harmonic regression.

    residuals: 1D array of residuals from the harmonic regression.

See: Brooks, E.B., Wynne, R.H., Thomas, V.A., Blinn, C.E. and Coulston, J.W., 2014. On-the-fly massively multitemporal change detection using statistical quality control charts and Landsat data. IEEE Transactions on Geoscience and Remote Sensing, 52(6), pp.3316-3332.

Usage	Returns
ee.Algorithms.TemporalSegmentation.Ewmacd(timeSeries, vegetationThreshold, trainingStartYear, trainingEndYear, harmonicCount, xBarLimit1, xBarLimit2, lambda, lambdasigs, rounding, persistence)	Image

Argument	Type	Details
timeSeries	ImageCollection	Collection from which to extract EWMA. This collection is expected to contain 1 image for each year and be sorted temporally.
vegetationThreshold	Float	Threshold for vegetation. Values below this are considered non-vegetation.
trainingStartYear	Integer	Start year of training period, inclusive.
trainingEndYear	Integer	End year of training period, exclusive.
harmonicCount	Integer, default: 2	Number of harmonic function pairs (sine and cosine) used.
xBarLimit1	Float, default: 1.5	Threshold for initial training xBar limit.
xBarLimit2	Integer, default: 20	Threshold for running xBar limit.
lambda	Float, default: 0.3	The 'lambda' tuning parameter weighting new years vs the running average.
lambdasigs	Float, default: 3	EWMA control bounds, in units of standard deviations.
rounding	Boolean, default: true	Should rounding be performed for EWMA
persistence	Integer, default: 3	Minimum number of observations needed to consider a change.

ee.Algorithms.TemporalSegmentation.LandTrendr

Landsat-based detection of Trends in Disturbance and Recovery: temporally segments a time-series of images by extracting the spectral trajectories of change over time. The first band of each image is used to find breakpoints, and those breakpoints are used to perform fitting on all subsequent bands. The breakpoints are returned as a 2-D matrix of 4 rows and as many columns as images. The first two rows are the original X and Y values. The third row contains the Y values fitted to the estimated segments, and the 4th row contains a 1 if the corresponding point was used as a segment vertex or 0 if not. Any additional fitted bands are appended as rows in the output. Breakpoint fitting assumes that increasing values represent disturbance and decreasing values represent recovery.

See: Kennedy, R.E., Yang, Z. and Cohen, W.B., 2010. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr - Temporal segmentation algorithms. Remote Sensing of Environment, 114(12), pp.2897-2910.

Usage	Returns
ee.Algorithms.TemporalSegmentation.LandTrendr(timeSeries, maxSegments, spikeThreshold, vertexCountOvershoot, preventOneYearRecovery, recoveryThreshold, pvalThreshold, bestModelProportion, minObservationsNeeded)	Image

Argument	Type	Details
timeSeries	ImageCollection	Yearly time-series from which to extract breakpoints. The first band is usedto find breakpoints, and all subsequent bands are fitted using those breakpoints.
maxSegments	Integer	Maximum number of segments to be fitted on the time series.
spikeThreshold	Float, default: 0.9	Threshold for dampening the spikes (1.0 means no dampening).
vertexCountOvershoot	Integer, default: 3	The initial model can overshoot the maxSegments + 1 vertices by this amount. Later, it will be pruned down to maxSegments + 1.
preventOneYearRecovery	Boolean, default: false	Prevent segments that represent one year recoveries.
recoveryThreshold	Float, default: 0.25	If a segment has a recovery rate faster than 1/recoveryThreshold (in years), then the segment is disallowed.
pvalThreshold	Float, default: 0.1	If the p-value of the fitted model exceeds this threshold, then the current model is discarded and another one is fitted using the Levenberg-Marquardt optimizer.
bestModelProportion	Float, default: 1.25	Takes the model with most vertices that has a p-value that is at most this proportion away from the model with lowest p-value.
minObservationsNeeded	Integer, default: 6	Min observations needed to perform output fitting.

ee.Algorithms.TemporalSegmentation.LandTrendrFit

Interpolates a time series using a set of LandTrendr breakpoint years. For each input band in the timeSeries, outputs a new 1D array-valued band containing the input values interpolated between the breakpoint times identified by the vertices image. See the LandTrendr Algorithm for more details.

Usage	Returns
ee.Algorithms.TemporalSegmentation.LandTrendrFit(timeSeries, vertices, spikeThreshold, minObservationsNeeded)	Image

Argument	Type	Details
timeSeries	ImageCollection	Time series to interpolate.
vertices	Image	Vertices image. A 1D array of LandTrendr breakpoint years.
spikeThreshold	Float, default: 0.9	Threshold for dampening input spikes (1.0 means no dampening).
minObservationsNeeded	Integer, default: 6	Min observations needed.

ee.Algorithms.TemporalSegmentation.VCT

Vegetation Change Tracker, an automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks.

The output is a 2D array per pixel containing 6 rows x N years. The output rows contain: input years, VCT landcover mask, magnitude in term of the UD composite, magnitude of distubance in B4, magnitude of distubance in NDVI, magnitude of distubance in dNBR.

See: Huang, C., Goward, S.N., Masek, J.G., Thomas, N., Zhu, Z. and Vogelmann, J.E., 2010. An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sensing of Environment, 114(1), pp.183-198.

Usage	Returns
ee.Algorithms.TemporalSegmentation.VCT(timeSeries, landCover, maxUd, minNdvi, forThrMax, nYears)	Image

Argument	Type	Details
timeSeries	ImageCollection	Collection from which to extract VCT disturbances, containing the bands: B3, B4, B5, B7, thermal, NDVI, DNBR and COMP. This collection is expected to contain 1 image for each year, sorted by time.
landCover	ImageCollection	Collection from which to extract VCT masks. This collection is expected to contain 1 image for each image in the timeSeries, sorted by time.
maxUd	Float, default: 4	Maximum Z-score composite value for detecting forest.
minNdvi	Float, default: 0.45	Minimum NDVI value for forest.
forThrMax	Float, default: 3	Maximum threshold for forest.
nYears	Integer, default: 30	Maximum number of years.

ee.Algorithms.TemporalSegmentation.Verdet

Vegetation Regeneration and Disturbance Estimates through Time, forest change detection algorithm. This algorithm generates a yearly clear-sky composite from satellite imagery, calculates a spectral vegetation index for each pixel in that composite, spatially segments the vegetation index image into patches, temporally divides the time series into differently sloped segments, and then labels those segments as disturbed, stable, or regenerating. Segmentation at both the spatial and temporal steps are performed using total variation regularization.

The output consists of a 1D array per pixel containing the slope of fitted trend lines. Negative values indicate disturbance and positive values regeneration.

See: Hughes, M.J., Kaylor, S.D. and Hayes, D.J., 2017. Patch-based forest change detection from Landsat time series. Forests, 8(5), p.166.

Usage	Returns
ee.Algorithms.TemporalSegmentation.Verdet(timeSeries, tolerance, alpha, nRuns)	Image

Argument	Type	Details
timeSeries	ImageCollection	Collection from which to extract VeRDET scores. This collection is expected to contain 1 image for each year, sorted temporally.
tolerance	Float, default: 0.0001	convergence tolerance
alpha	Float, default: 0.03333333333333333	Regularization parameter for segmentation.
nRuns	Integer, default: 100	Maximum number of runs for convergence.

ee.Algorithms.Terrain

Calculates slope, aspect, and a simple hillshade from a terrain DEM.

Expects an image containing either a single band of elevation, measured in meters, or if there's more than one band, one named 'elevation'. Adds output bands named 'slope' and 'aspect' measured in degrees plus an unsigned byte output band named 'hillshade' for visualization. All other bands and metadata are copied from the input image. The local gradient is computed using the 4-connected neighbors of each pixel, so missing values will occur around the edges of an image.

Usage	Returns
ee.Algorithms.Terrain(input)	Image

Argument	Type	Details
input	Image	An elevation image, in meters.

ee.Array

Returns an array with the given coordinates.

Usage	Returns
ee.Array(values, pixelType)	Array

Argument	Type	Details
values	Object	An existing array to cast, or a number/list of numbers/nested list of numbers of any depth to create an array from. For nested lists, all inner arrays at the same depth must have the same length, and numbers may only be present at the deepest level.
pixelType	PixelType, default: null	The type of each number in the values argument. If the pixel type is not provided, it will be inferred from the numbers in 'values'. If there aren't any numbers in 'values', this type must be provided.

ee.Array.abs

On an element-wise basis, computes the absolute value of the input.

Usage	Returns
Array.abs()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.accum

Accumulates elements of an array along the given axis, by setting each element of the result to the reduction of elements along that axis up to and including the current position. May be used to make a cumulative sum, a monotonically increasing sequence, etc.

Usage	Returns
Array.accum(axis, reducer)	Array

Argument	Type	Details
this: array	Array	Array to accumulate.
axis	Integer	Axis along which to perform the accumulation.
reducer	Reducer, default: null	Reducer to accumulate values. Default is SUM, to produce the cumulative sum of each vector along the given axis.

ee.Array.acos

On an element-wise basis, computes the arc cosine in radians of the input.

Usage	Returns
Array.acos()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.add

On an element-wise basis, adds the first value to the second.

Usage	Returns
Array.add(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.and

On an element-wise basis, returns 1 iff both values are non-zero.

Usage	Returns
Array.and(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.argmax

Returns the position, as a list of indices in each array axis, of the maximum value in an array, or null if the array is empty. If there are multiple occurrences of the maximum, returns the position of the first.

Usage	Returns
Array.argmax()	List

Argument	Type	Details
this: array	Array

ee.Array.asin

On an element-wise basis, computes the arc sine in radians of the input.

Usage	Returns
Array.asin()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.atan

On an element-wise basis, computes the arc tangent in radians of the input.

Usage	Returns
Array.atan()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.atan2

On an element-wise basis, calculates the angle formed by the 2D vector [x, y].

Usage	Returns
Array.atan2(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.bitCount

On an element-wise basis, calculates the number of one-bits in the 64-bit two's complement binary representation of the input.

Usage	Returns
Array.bitCount()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.bitsToArray

Convert the bits of an integer to an Array. The array has as many elements as the position of the highest set bit, or a single 0 for a value of 0.

Usage	Returns
ee.Array.bitsToArray(input)	Array

Argument	Type	Details
input	Number

ee.Array.bitwiseAnd

On an element-wise basis, calculates the bitwise AND of the input values.

Usage	Returns
Array.bitwiseAnd(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.bitwiseNot

On an element-wise basis, calculates the bitwise NOT of the input, in the smallest signed integer type that can hold the input.

Usage	Returns
Array.bitwiseNot()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.bitwiseOr

On an element-wise basis, calculates the bitwise OR of the input values.

Usage	Returns
Array.bitwiseOr(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.bitwiseXor

On an element-wise basis, calculates the bitwise XOR of the input values.

Usage	Returns
Array.bitwiseXor(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.bitwise_and

On an element-wise basis, calculates the bitwise AND of the input values.

Usage	Returns
Array.bitwise_and(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.bitwise_not

On an element-wise basis, calculates the bitwise NOT of the input, in the smallest signed integer type that can hold the input.

Usage	Returns
Array.bitwise_not()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.bitwise_or

On an element-wise basis, calculates the bitwise OR of the input values.

Usage	Returns
Array.bitwise_or(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.bitwise_xor

On an element-wise basis, calculates the bitwise XOR of the input values.

Usage	Returns
Array.bitwise_xor(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.byte

On an element-wise basis, casts the input value to an unsigned 8-bit integer.

Usage	Returns
Array.byte()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.cat

Concatenates multiple arrays into a single array along the given axis. Each array must have the same dimensionality and the same length on all axes except the concatenation axis.

Usage	Returns
ee.Array.cat(arrays, axis)	Array

Argument	Type	Details
arrays	List	Arrays to concatenate.
axis	Integer, default: 0	Axis to concatenate along.

ee.Array.cbrt

On an element-wise basis, computes the cubic root of the input.

Usage	Returns
Array.cbrt()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.ceil

On an element-wise basis, computes the smallest integer greater than or equal to the input.

Usage	Returns
Array.ceil()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.cos

On an element-wise basis, computes the cosine of the input in radians.

Usage	Returns
Array.cos()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.cosh

On an element-wise basis, computes the hyperbolic cosine of the input.

Usage	Returns
Array.cosh()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.cut

Cut an array along one or more axes.

Usage	Returns
Array.cut(position)	Array

Argument	Type	Details
this: array	Array	The array to cut.
position	List	Cut an array along one or more axes. The positions args specifies either a single value for each axis of the array, or -1, indicating the whole axis. The output will be an array that has the same dimensions as the input, with a length of 1 on each axis that was not -1 in the positions array.

ee.Array.digamma

On an element-wise basis, computes the digamma function of the input.

Usage	Returns
Array.digamma()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.divide

On an element-wise basis, divides the first value by the second, returning 0 for division by 0.

Usage	Returns
Array.divide(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.dotProduct

Compute the dot product between two 1-D arrays.

Usage	Returns
Array.dotProduct(array2)	Number

Argument	Type	Details
this: array1	Array	The first 1-D array.
array2	Array	The second 1-D array.

ee.Array.double

On an element-wise basis, casts the input value to a 64-bit float.

Usage	Returns
Array.double()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.eigen

Computes the real eigenvectors and eigenvalues of a square 2D array of A rows and A columns. Returns an array with A rows and A+1 columns, where each row contains an eigenvalue in the first column, and the corresponding eigenvector in the remaining A columns. The rows are sorted by eigenvalue, in descending order.

Usage	Returns
Array.eigen()	Array

Argument	Type	Details
this: input	Array	A square, 2D array from which to compute the eigenvalue decomposition.

ee.Array.eq

On an element-wise basis, returns 1 iff the first value is equal to the second.

Usage	Returns
Array.eq(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.erf

On an element-wise basis, computes the error function of the input.

Usage	Returns
Array.erf()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.erfInv

On an element-wise basis, computes the inverse error function of the input.

Usage	Returns
Array.erfInv()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.erfc

On an element-wise basis, computes the complementary error function of the input.

Usage	Returns
Array.erfc()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.erfcInv

On an element-wise basis, computes the inverse complementary error function of the input.

Usage	Returns
Array.erfcInv()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.exp

On an element-wise basis, computes the Euler's number e raised to the power of the input.

Usage	Returns
Array.exp()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.first

On an element-wise basis, selects the value of the first value.

Usage	Returns
Array.first(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.firstNonZero

On an element-wise basis, selects the first value if it is non-zero, and the second value otherwise.

Usage	Returns
Array.firstNonZero(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.first_nonzero

On an element-wise basis, selects the first value if it is non-zero, and the second value otherwise.

Usage	Returns
Array.first_nonzero(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.float

On an element-wise basis, casts the input value to a 32-bit float.

Usage	Returns
Array.float()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.floor

On an element-wise basis, computes the largest integer less than or equal to the input.

Usage	Returns
Array.floor()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.gamma

On an element-wise basis, computes the gamma function of the input.

Usage	Returns
Array.gamma()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.gammainc

On an element-wise basis, calculates the regularized lower incomplete Gamma function γ(x,a).

Usage	Returns
Array.gammainc(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.get

Extracts the value at the given position from the input array.

Usage	Returns
Array.get(position)	Number

Argument	Type	Details
this: array	Array	The array to extract from.
position	List	The coordinates of the element to get.

ee.Array.gt

On an element-wise basis, returns 1 iff the first value is greater than the second.

Usage	Returns
Array.gt(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.gte

On an element-wise basis, returns 1 iff the first value is greater than or equal to the second.

Usage	Returns
Array.gte(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.hypot

On an element-wise basis, calculates the magnitude of the 2D vector [x, y].

Usage	Returns
Array.hypot(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.identity

Creates a 2D identity matrix of the given size.

Usage	Returns
ee.Array.identity(size)	Array

Argument	Type	Details
size	Integer	The length of each axis.

ee.Array.int

On an element-wise basis, casts the input value to a signed 32-bit integer.

Usage	Returns
Array.int()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.int16

On an element-wise basis, casts the input value to a signed 16-bit integer.

Usage	Returns
Array.int16()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.int32

On an element-wise basis, casts the input value to a signed 32-bit integer.

Usage	Returns
Array.int32()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.int64

On an element-wise basis, casts the input value to a signed 64-bit integer.

Usage	Returns
Array.int64()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.int8

On an element-wise basis, casts the input value to a signed 8-bit integer.

Usage	Returns
Array.int8()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.lanczos

On an element-wise basis, computes the Lanczos approximation of the input.

Usage	Returns
Array.lanczos()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.leftShift

On an element-wise basis, calculates the left shift of v1 by v2 bits.

Usage	Returns
Array.leftShift(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.left_shift

On an element-wise basis, calculates the left shift of v1 by v2 bits.

Usage	Returns
Array.left_shift(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.length

Returns a 1-D EEArray containing the length of each dimension of the given EEArray.

Usage	Returns
Array.length()	Array

Argument	Type	Details
this: array	Array	The array from which to extract the axis lengths.

ee.Array.log

On an element-wise basis, computes the natural logarithm of the input.

Usage	Returns
Array.log()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.log10

On an element-wise basis, computes the base-10 logarithm of the input.

Usage	Returns
Array.log10()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.long

On an element-wise basis, casts the input value to a signed 64-bit integer.

Usage	Returns
Array.long()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.lt

On an element-wise basis, returns 1 iff the first value is less than the second.

Usage	Returns
Array.lt(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.lte

On an element-wise basis, returns 1 iff the first value is less than or equal to the second.

Usage	Returns
Array.lte(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.mask

Creates a subarray by slicing out each position in an input array that is parallel to a non-zero element of the given mask array.

Usage	Returns
Array.mask(mask)	Array

Argument	Type	Details
this: input	Array	Array to mask.
mask	Array	Mask array.

ee.Array.matrixCholeskyDecomposition

Calculates the Cholesky decomposition of a matrix. The Cholesky decomposition is a decomposition into the form L*L' where L is a lower triangular matrix. The input must be a symmetric positive-definite matrix. Returns a dictionary with 1 entry named 'L'.

Usage	Returns
Array.matrixCholeskyDecomposition()	Dictionary

Argument	Type	Details
this: array	Array	The array to decompose.

ee.Array.matrixDeterminant

Computes the determinant of the matrix.

Usage	Returns
Array.matrixDeterminant()	Number

Argument	Type	Details
this: input	Array	The array to compute on.

ee.Array.matrixDiagonal

Computes the diagonal of the matrix in a single column.

Usage	Returns
Array.matrixDiagonal()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.matrixFnorm

Computes the Frobenius norm of the matrix.

Usage	Returns
Array.matrixFnorm()	Number

Argument	Type	Details
this: input	Array	The array to compute on.

ee.Array.matrixInverse

Computes the inverse of the matrix.

Usage	Returns
Array.matrixInverse()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.matrixLUDecomposition

Calculates the LU matrix decomposition such that P×input=L×U, where L is lower triangular (with unit diagonal terms), U is upper triangular and P is a partial pivot permutation matrix. The input matrix must be square. Returns a dictionary with entries named 'L', 'U' and 'P'.

Usage	Returns
Array.matrixLUDecomposition()	Dictionary

Argument	Type	Details
this: array	Array	The array to decompose.

ee.Array.matrixMultiply

Returns the matrix multiplication A*B.

Usage	Returns
Array.matrixMultiply(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.matrixPseudoInverse

Computes the Moore-Penrose pseudoinverse of the matrix.

Usage	Returns
Array.matrixPseudoInverse()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.matrixQRDecomposition

Calculates the QR-decomposition of a matrix into two matrices Q and R such that input = QR, where Q is orthogonal, and R is upper triangular. Returns a dictionary with entries named 'Q' and 'R'.

Usage	Returns
Array.matrixQRDecomposition()	Dictionary

Argument	Type	Details
this: array	Array	The array to decompose.

ee.Array.matrixSingularValueDecomposition

Calculates the Singular Value Decomposition of the input matrix into U×S×V', such that U and V are orthogonal and S is diagonal. Returns a dictionary with entries named 'U', 'S' and 'V'.

Usage	Returns
Array.matrixSingularValueDecomposition()	Dictionary

Argument	Type	Details
this: array	Array	The array to decompose.

ee.Array.matrixSolve

Solves for x in the matrix equation A*x=B, finding a least-squares solution if A is overdetermined.

Usage	Returns
Array.matrixSolve(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.matrixToDiag

Computes a square diagonal matrix from a single column matrix.

Usage	Returns
Array.matrixToDiag()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.matrixTrace

Computes the trace of the matrix.

Usage	Returns
Array.matrixTrace()	Number

Argument	Type	Details
this: input	Array	The array to compute on.

ee.Array.matrixTranspose

Transposes two dimensions of an array.

Usage	Returns
Array.matrixTranspose(axis1, axis2)	Array

Argument	Type	Details
this: array	Array	Array to transpose.
axis1	Integer, default: 0	First axis to swap.
axis2	Integer, default: 1	Second axis to swap.

ee.Array.max

On an element-wise basis, selects the maximum of the first and second values.

Usage	Returns
Array.max(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.min

On an element-wise basis, selects the minimum of the first and second values.

Usage	Returns
Array.min(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.mod

On an element-wise basis, calculates the remainder of the first value divided by the second.

Usage	Returns
Array.mod(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.multiply

On an element-wise basis, multiplies the first value by the second.

Usage	Returns
Array.multiply(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.neq

On an element-wise basis, returns 1 iff the first value is not equal to the second.

Usage	Returns
Array.neq(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.not

On an element-wise basis, returns 0 if the input is non-zero, and 1 otherwise.

Usage	Returns
Array.not()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.or

On an element-wise basis, returns 1 iff either input value is non-zero.

Usage	Returns
Array.or(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.pow

On an element-wise basis, raises the first value to the power of the second.

Usage	Returns
Array.pow(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.project

Projects an array to a lower dimensional space by specifying the axes to retain. Dropped axes must be at most length 1.

Usage	Returns
Array.project(axes)	Array

Argument	Type	Details
this: array	Array	Array to project.
axes	List	The axes to project onto. Other axes will be discarded, and must be at most length 1.

ee.Array.reduce

Apply a reducer to an array by collapsing all the input values along each specified axis into a single output value computed by the reducer.

Usage	Returns
Array.reduce(reducer, axes, fieldAxis)	Array

Argument	Type	Details
this: array	Array	The array.
reducer	Reducer	The reducer to apply
axes	List	The list of axes over which to reduce. The output will have a length of 1 in all these axes.
fieldAxis	Integer, default: null	The axis for the reducer's input and output fields. Only required if the reducer has multiple inputs or outputs.

ee.Array.repeat

Repeats the array along the given axis. The result will have the shape of the input, except length along the repeated axis will be multiplied by the given number of copies.

Usage	Returns
Array.repeat(axis, copies)	Array

Argument	Type	Details
this: array	Array	Array to repeat.
axis	Integer, default: 0	The axis along which to repeat the array.
copies	Integer, default: 2	The number of copies of this array to concatenate along the given axis.

ee.Array.rightShift

On an element-wise basis, calculates the signed right shift of v1 by v2 bits.

Usage	Returns
Array.rightShift(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.right_shift

On an element-wise basis, calculates the signed right shift of v1 by v2 bits.

Usage	Returns
Array.right_shift(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.round

On an element-wise basis, computes the integer nearest to the input.

Usage	Returns
Array.round()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.short

On an element-wise basis, casts the input value to a signed 16-bit integer.

Usage	Returns
Array.short()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.sin

On an element-wise basis, computes the sine of the input in radians.

Usage	Returns
Array.sin()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.sinh

On an element-wise basis, computes the hyperbolic sine of the input.

Usage	Returns
Array.sinh()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.slice

Creates a subarray by slicing out each position along the given axis from the 'start' (inclusive) to 'end' (exclusive) by increments of 'step'. The result will have as many dimensions as the input, and the same length in all directions except the slicing axis, where the length will be the number of positions from 'start' to 'end' by 'step' that are in range of the input array's length along 'axis'. This means the result can be length 0 along the given axis if start=end, or if the start or end values are entirely out of range.

Usage	Returns
Array.slice(axis, start, end, step)	Array

Argument	Type	Details
this: array	Array	Array to slice.
axis	Integer, default: 0	The axis to slice on.
start	Integer, default: 0	The coordinate of the first slice (inclusive) along 'axis'. Negative numbers are used to position the start of slicing relative to the end of the array, where -1 starts at the last position on the axis, -2 starts at the next to last position, etc.
end	Integer, default: null	The coordinate (exclusive) at which to stop taking slices. By default this will be the length of the given axis. Negative numbers are used to position the end of slicing relative to the end of the array, where -1 will exclude the last position, -2 will exclude the last two positions, etc.
step	Integer, default: 1	The separation between slices along 'axis'; a slice will be taken at each whole multiple of 'step' from 'start' (inclusive) to 'end' (exclusive). Must be positive.

ee.Array.sort

Sorts elements of the array along one axis.

Usage	Returns
Array.sort(keys)	Array

Argument	Type	Details
this: array	Array	Array image to sort.
keys	Array, default: null	Optional keys to sort by. If not provided, the values are used as the keys. The keys can only have multiple elements along one axis, which determines the direction to sort in.

ee.Array.sqrt

On an element-wise basis, computes the square root of the input.

Usage	Returns
Array.sqrt()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.subtract

On an element-wise basis, subtracts the second value from the first.

Usage	Returns
Array.subtract(right)	Array

Argument	Type	Details
this: left	Array	The left-hand value.
right	Array	The right-hand value.

ee.Array.tan

On an element-wise basis, computes the tangent of the input in radians.

Usage	Returns
Array.tan()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.tanh

On an element-wise basis, computes the hyperbolic tangent of the input.

Usage	Returns
Array.tanh()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.toByte

On an element-wise basis, casts the input value to an unsigned 8-bit integer.

Usage	Returns
Array.toByte()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.toDouble

On an element-wise basis, casts the input value to a 64-bit float.

Usage	Returns
Array.toDouble()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.toFloat

On an element-wise basis, casts the input value to a 32-bit float.

Usage	Returns
Array.toFloat()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.toInt

On an element-wise basis, casts the input value to a signed 32-bit integer.

Usage	Returns
Array.toInt()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.toInt16

On an element-wise basis, casts the input value to a signed 16-bit integer.

Usage	Returns
Array.toInt16()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.toInt32

On an element-wise basis, casts the input value to a signed 32-bit integer.

Usage	Returns
Array.toInt32()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.toInt64

On an element-wise basis, casts the input value to a signed 64-bit integer.

Usage	Returns
Array.toInt64()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.toInt8

On an element-wise basis, casts the input value to a signed 8-bit integer.

Usage	Returns
Array.toInt8()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.toList

Turns an Array into a list of lists of numbers.

Usage	Returns
Array.toList()	List

Argument	Type	Details
this: array	Array	Array to convert.

ee.Array.toLong

On an element-wise basis, casts the input value to a signed 64-bit integer.

Usage	Returns
Array.toLong()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.toShort

On an element-wise basis, casts the input value to a signed 16-bit integer.

Usage	Returns
Array.toShort()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.toUint16

On an element-wise basis, casts the input value to an unsigned 16-bit integer.

Usage	Returns
Array.toUint16()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.toUint32

On an element-wise basis, casts the input value to an unsigned 32-bit integer.

Usage	Returns
Array.toUint32()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.toUint8

On an element-wise basis, casts the input value to an unsigned 8-bit integer.

Usage	Returns
Array.toUint8()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.transpose

Transposes two dimensions of an array.

Usage	Returns
Array.transpose(axis1, axis2)	Array

Argument	Type	Details
this: array	Array	Array to transpose.
axis1	Integer, default: 0	First axis to swap.
axis2	Integer, default: 1	Second axis to swap.

ee.Array.trigamma

On an element-wise basis, computes the trigamma function of the input.

Usage	Returns
Array.trigamma()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.uint16

On an element-wise basis, casts the input value to an unsigned 16-bit integer.

Usage	Returns
Array.uint16()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.uint32

On an element-wise basis, casts the input value to an unsigned 32-bit integer.

Usage	Returns
Array.uint32()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Array.uint8

On an element-wise basis, casts the input value to an unsigned 8-bit integer.

Usage	Returns
Array.uint8()	Array

Argument	Type	Details
this: input	Array	The input array.

ee.Blob

Loads a Blob from a Google Cloud Storage URL.

Usage	Returns
ee.Blob(url)	Blob

Argument	Type	Details
url	String	The Blob's Google Cloud Storage URL.

ee.Blob.string

Returns the contents of the blob as a String.

Usage	Returns
Blob.string(encoding)	String

Argument	Type	Details
this: blob	Blob
encoding	String, default: null

ee.Blob.url

Returns the Blob's Google Cloud Storage URL.

Usage	Returns
Blob.url()	String

Argument	Type	Details
this: blob	Blob

ee.Classifier.cart

Creates an empty CART classifier. See:

  "Classification and Regression Trees,"

  L. Breiman, J. Friedman, R. Olshen, C. Stone

  Chapman and Hall, 1984.

Usage	Returns
ee.Classifier.cart(crossvalidationFactor, maxDepth, minLeafPopulation, minSplitPoplulation, minSplitCost, prune, pruneErrorTolerance, quantizationResolution, quantizationMargin, randomSeed)	Classifier

Argument	Type	Details
crossvalidationFactor	Integer, default: 10	The cross-validation factor for pruning.
maxDepth	Integer, default: 10	Do not grow initial tree deeper than this many levels.
minLeafPopulation	Integer, default: 1	Only create nodes whose training set contains at least this many points.
minSplitPoplulation	Integer, default: 1	Do not split unless node has at least this many points.
minSplitCost	Float, default: 1e-10	Do not split if training set cost less than this.
prune	Boolean, default: false	Whether to skip pruning; i.e., only impose stopping criteria while growing the tree.
pruneErrorTolerance	Float, default: 0.5	The standard error threshold to use in determining the simplest tree whose accuracy is comparable to the minimum cost-complexity tree.
quantizationResolution	Integer, default: 100	The quantization resolution for numerical features.
quantizationMargin	Float, default: 0.1	The margin reserved by quantizer to avoid overload, as a fraction of the range observed in the training data.
randomSeed	Integer, default: 0	The randomization seed.

ee.Classifier.confusionMatrix

Computes a 2D confusion matrix for a classifier based on its training data (ie: resubstitution error). Axis 0 of the matrix correspond to the input classes, and axis 1 to the output classes. The rows and columns start at class 0 and increase sequentially up to the maximum class value, so some rows or columns might be empty if the input classes aren't 0-based or sequential.

Usage	Returns
Classifier.confusionMatrix()	ConfusionMatrix

Argument	Type	Details
this: classifier	Classifier	The classifier to use.

ee.Classifier.decisionTree

Creates a classifier that applies the given decision tree.

Usage	Returns
ee.Classifier.decisionTree(treeString)	Classifier

Argument	Type	Details
treeString	String	The decision tree, specified in the text format generated by R and other similar tools.

ee.Classifier.explain

Describe the results of a trained classifier.

Usage	Returns
Classifier.explain()	Dictionary

Argument	Type	Details
this: classifier	Classifier	The classifier to describe.

ee.Classifier.gmoMaxEnt

Creates an empty GMO Maximum Entropy classifier. See:

  "Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models,"

  G. Mann, R. McDonald, M. Mohri, N. Silberman, D. Walker.

Usage	Returns
ee.Classifier.gmoMaxEnt(weight1, weight2, epsilon, minIterations, maxIterations)	Classifier

Argument	Type	Details
weight1	Float, default: 0	The weight for L1 regularization.
weight2	Float, default: 0.00001	The weight for L2 regularization.
epsilon	Float, default: 0.00001	The epsilon for stopping optimization.
minIterations	Integer, default: 0	The minimum number of iterations of optimizer.
maxIterations	Integer, default: 100	The maximum number of iterations of optimizer.

ee.Classifier.minimumDistance

Creates a minimum distance classifier for the given distance metric.

Usage	Returns
ee.Classifier.minimumDistance(metric)	Classifier

Argument	Type	Details
metric	String, default: "euclidean"	The distance metric to use. Options are:   'euclidean' - euclidean distance from the unnormalized class mean.   'cosine' - spectral angle from the unnormalized class mean.   'mahalanobis' - Mahalanobis distance from the class mean.

ee.Classifier.mode

Returns the classifier mode: CLASSIFICATION, REGRESSION or PROBABILITY.

Usage	Returns
Classifier.mode()	String

Argument	Type	Details
this: classifier	Classifier

ee.Classifier.naiveBayes

Creates an empty Fast Naive Bayes classifier.

Usage	Returns
ee.Classifier.naiveBayes(lambda)	Classifier

Argument	Type	Details
lambda	Float, default: 0.000001	A smoothing lambda. Used to avoid assigning zero probability to classes not seen during training, instead using lambda / (lambda * nFeatures).

ee.Classifier.randomForest

Creates an empty Rifle Serial classifier, which uses the Random Forest algorithm.

Usage	Returns
ee.Classifier.randomForest(numberOfTrees, variablesPerSplit, minLeafPopulation, bagFraction, outOfBagMode, seed)	Classifier

Argument	Type	Details
numberOfTrees	Integer, default: 1	The number of Rifle decision trees to create per class.
variablesPerSplit	Integer, default: 0	The number of variables per split. If set to 0 (default), defaults to the square root of the number of variables.
minLeafPopulation	Integer, default: 1	The minimum size of a terminal node.
bagFraction	Float, default: 0.5	The fraction of input to bag per tree.
outOfBagMode	Boolean, default: false	Whether the classifier should run in out-of-bag mode.
seed	Integer, default: 0	Random seed.

ee.Classifier.schema

Returns the names of the inputs used by this classifier, or null if this classifier has not had any training data added yet.

Usage	Returns
Classifier.schema()	List

Argument	Type	Details
this: classifier	Classifier

ee.Classifier.setOutputMode

Sets the output mode.

Usage	Returns
Classifier.setOutputMode(mode)	Classifier

Argument	Type	Details
this: classifier	Classifier	An input classifier.
mode	String	The output mode. One of:   - CLASSIFICATION (default): The output is the class number.   - REGRESSION: The output is the result of standard regression.   - PROBABILITY: The output is the probability that the classification is correct. Not all classifier types support REGRESSION and PROBABILITY modes.

ee.Classifier.spectralRegion

Creates a classifier that tests if its inputs lie within a polygon defined by a set of coordinates in an arbitrary 2D coordinate system. Each input to be classified must have 2 values (e.g.: images must have 2 bands). The result will be 1 wherever the input values are contained within the given polygon and 0 otherwise.

Usage	Returns
ee.Classifier.spectralRegion(coordinates, schema)	Classifier

Argument	Type	Details
coordinates	List	The coordinates of the polygon, as a list of rings. Each ring is a list of coordinate pairs (e.g.: [u1, v1, u2, v2, ..., uN, vN]). No edge may intersect any other edge. The resulting classification will be a 1 wherever the input values are within the interior of the given polygon, that is, an odd number of polygon edges must be crossed to get outside the polygon and 0 otherwise.
schema	List, default: null	The classifier's schema. A list of band or property names that the classifier will operate on. Since this classifier doesn't undergo a training step, these have to be specified manually. Defaults to ['u', 'v'].

ee.Classifier.svm

Creates a Support Vector Machine classifier.

Usage	Returns
ee.Classifier.svm(decisionProcedure, svmType, kernelType, shrinking, degree, gamma, coef0, cost, nu, terminationEpsilon, lossEpsilon, oneClass)	Classifier

Argument	Type	Details
decisionProcedure	String, default: "Voting"	The decision procedure to use for classification. Either 'Voting' or 'Margin'. Not used for regression.
svmType	String, default: "C_SVC"	The SVM type. One of C_SVC, NU_SVC, ONE_CLASS, EPSILON_SVR or NU_SVR.
kernelType	String, default: "LINEAR"	The kernel type. One of LINEAR (u′×v), POLY ((γ×u′×v + coef₀)ᵈᵉᵍʳᵉᵉ), RBF (exp(-γ×|u-v|²)) or SIGMOID (tanh(γ×u′×v + coef₀)).
shrinking	Boolean, default: true	Whether to use shrinking heuristics.
degree	Integer, default: null	The degree of polynomial. Valid for POLY kernels.
gamma	Float, default: null	The gamma value in the kernel function. Defaults to the reciprocal of the number of features. Valid for POLY, RBF and SIGMOID kernels.
coef0	Float, default: null	The coef₀ value in the kernel function. Defaults to 0. Valid for POLY and SIGMOID kernels.
cost	Float, default: null	The cost (C) parameter. Defaults to 1. Only valid for C-SVC, epsilon-SVR, and nu-SVR.
nu	Float, default: null	The nu parameter. Defaults to 0.5. Only valid for of nu-SVC, one-class SVM, and nu-SVR.
terminationEpsilon	Float, default: null	The termination criterion tolerance (e). Defaults to 0.001. Only valid for epsilon-SVR.
lossEpsilon	Float, default: null	The epsilon in the loss function (p). Defaults to 0.1. Only valid for epsilon-SVR.
oneClass	Integer, default: null	The class of the training data on which to train in a one-class svm. Defaults to 0. Only valid for one-class SVM. Possible values are 0 and 1. The classifier output is binary (0/1) and will match this class value for the data determined to be in the class.

ee.Classifier.train

Trains the classifier on a collection of features, using the specified numeric properties of each feature as training data. The geometry of the features is ignored.

Usage	Returns
Classifier.train(features, classProperty, inputProperties, subsampling, subsamplingSeed)	Classifier

Argument	Type	Details
this: classifier	Classifier	An input classifier.
features	FeatureCollection	The collection to train on.
classProperty	String	The name of the property containing the class value. Each feature must have this property, and its value must be numeric.
inputProperties	List, default: null	The list of property names to include as training data. Each feature must have all these properties, and their values must be numeric. This argument is optional if the input collection contains a 'band_order' property, (as produced by Image.sample).
subsampling	Float, default: 1	An optional subsampling factor, within (0, 1].
subsamplingSeed	Integer, default: 0	A randomization seed to use for subsampling.

ee.Clusterer.schema

Returns the names of the inputs used by this Clusterer, or null if this Clusterer has not had any training data added yet.

Usage	Returns
Clusterer.schema()	List

Argument	Type	Details
this: clusterer	Clusterer

ee.Clusterer.train

Trains the Clusterer on a collection of features, using the specified numeric properties of each feature as training data. The geometry of the features is ignored.

Usage	Returns
Clusterer.train(features, inputProperties, subsampling, subsamplingSeed)	Clusterer

Argument	Type	Details
this: clusterer	Clusterer	An input Clusterer.
features	FeatureCollection	The collection to train on.
inputProperties	List, default: null	The list of property names to include as training data. Each feature must have all these properties, and their values must be numeric. This argument is optional if the input collection contains a 'band_order' property, (as produced by Image.sample).
subsampling	Float, default: 1	An optional subsampling factor, within (0, 1].
subsamplingSeed	Integer, default: 0	A randomization seed to use for subsampling.

ee.Clusterer.wekaCascadeKMeans

Cascade simple k-means, selects the best k according to calinski-harabasz criterion. For more information see:

Calinski, T. and J. Harabasz. 1974. A dendrite method for cluster analysis. Commun. Stat. 3: 1-27.

Usage	Returns
ee.Clusterer.wekaCascadeKMeans(minClusters, maxClusters, restarts, manual, init, distanceFunction, maxIterations)	Clusterer

Argument	Type	Details
minClusters	Integer, default: 2	Min number of clusters.
maxClusters	Integer, default: 10	Max number of clusters.
restarts	Integer, default: 10	Number of restarts.
manual	Boolean, default: false	Manually select the number of clusters.
init	Boolean, default: false	Set whether to initialize using the probabilistic farthest first like method of the k-means++ algorithm (rather than the standard random selection of initial cluster centers).
distanceFunction	String, default: "Euclidean"	Distance function to use. Options are: Euclidean & Manhattan
maxIterations	Integer, default: null	Maximum number of iterations for k-means.

ee.Clusterer.wekaCobweb

Implementation of the Cobweb clustering algorithm. For more information see:

D. Fisher (1987). Knowledge acquisition via incremental conceptual clustering. Machine Learning. 2(2):139-172. and J. H. Gennari, P. Langley, D. Fisher (1990). Models of incremental concept formation. Artificial Intelligence. 40:11-61.

Usage	Returns
ee.Clusterer.wekaCobweb(acuity, cutoff, seed)	Clusterer

Argument	Type	Details
acuity	Float, default: 1	Acuity (minimum standard deviation).
cutoff	Float, default: 0.002	Cutoff (minimum category utility).
seed	Integer, default: 42	Random number seed.

ee.Clusterer.wekaKMeans

Cluster data using the k means algorithm. Can use either the Euclidean distance (default) or the Manhattan distance. If the Manhattan distance is used, then centroids are computed as the component-wise median rather than mean. For more information see:

D. Arthur, S. Vassilvitskii: k-means++: the advantages of carefull seeding. In: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, 1027-1035, 2007.

Usage	Returns
ee.Clusterer.wekaKMeans(nClusters, init, canopies, maxCandidates, periodicPruning, minDensity, t1, t2, distanceFunction, maxIterations, preserveOrder, fast, seed)	Clusterer

Argument	Type	Details
nClusters	Integer	Number of clusters.
init	Integer, default: 0	Initialization method to use.0 = random, 1 = k-means++, 2 = canopy, 3 = farthest first.
canopies	Boolean, default: false	Use canopies to reduce the number of distance calculations.
maxCandidates	Integer, default: 100	Maximum number of candidate canopies to retain in memory at any one time when using canopy clustering. T2 distance plus, data characteristics, will determine how many candidate canopies are formed before periodic and final pruning are performed, which might result in exceess memory consumption. This setting avoids large numbers of candidate canopies consuming memory.
periodicPruning	Integer, default: 10000	How often to prune low density canopies when using canopy clustering.
minDensity	Integer, default: 2	Minimum canopy density, when using canopy clustering, below which a canopy will be pruned during periodic pruning.
t1	Float, default: -1.5	The T1 distance to use when using canopy clustering. A value < 0 is taken as a positive multiplier for T2.
t2	Float, default: -1	The T2 distance to use when using canopy clustering. Values < 0 cause a heuristic based on attribute std. deviation to be used.
distanceFunction	String, default: "Euclidean"	Distance function to use. Options are: Euclidean & Manhattan
maxIterations	Integer, default: null	Maximum number of iterations.
preserveOrder	Boolean, default: false	Preserve order of instances.
fast	Boolean, default: false	Enables faster distance calculations, using cut-off values. Disables the calculation/output of squared errors/distances
seed	Integer, default: 10	The randomization seed.

ee.Clusterer.wekaLVQ

A Clusterer that implements the Learning Vector Quantization algorithm. For more details, see:

T. Kohonen, "Learning Vector Quantization", The Handbook of Brain Theory and Neural Networks, 2nd Edition, MIT Press, 2003, pp. 631-634.

Usage	Returns
ee.Clusterer.wekaLVQ(numClusters, learningRate, epochs, normalizeInput)	Clusterer

Argument	Type	Details
numClusters	Integer, default: 7	The number of clusters.
learningRate	Float, default: 1	The learning rate for the training algorithm. (Value should be greaterthan 0 and less or equal to 1).
epochs	Integer, default: 1000	Number of training epochs. (Value should be greater than or equal to 1).
normalizeInput	Boolean, default: false	Skip normalizing the attributes.

ee.Clusterer.wekaXMeans

X-Means is K-Means with an efficient estimation of the number of clusters. For more information see:

Dan Pelleg, Andrew W. Moore: X-means: Extending K-means with Efficient Estimation of the Number of Clusters. In: Seventeenth International Conference on Machine Learning, 727-734, 2000.

Usage	Returns
ee.Clusterer.wekaXMeans(minClusters, maxClusters, maxIterations, maxKMeans, maxForChildren, useKD, cutoffFactor, distanceFunction, seed)	Clusterer

Argument	Type	Details
minClusters	Integer, default: 2	Minimum number of clusters.
maxClusters	Integer, default: 8	Maximum number of clusters.
maxIterations	Integer, default: 3	Maximum number of overall iterations.
maxKMeans	Integer, default: 1000	The maximum number of iterations to perform in KMeans.
maxForChildren	Integer, default: 1000	The maximum number of iterations in KMeans that is performed on the child centers.
useKD	Boolean, default: false	Use a KDTree.
cutoffFactor	Float, default: 0	Takes the given percentage of the splitted centroids if none of the children win.
distanceFunction	String, default: "Euclidean"	Distance function to use. Options are: Chebyshev, Euclidean & Manhattan.
seed	Integer, default: 10	The randomization seed.

ee.ConfusionMatrix

Creates a confusion matrix. Axis 1 (the rows) of the matrix correspond to the actual values, and Axis 0 (the columns) to the predicted values.

Usage	Returns
ee.ConfusionMatrix(array, order)	ConfusionMatrix

Argument	Type	Details
array	Object	A square, 2D array of integers, representing the confusion matrix.
order	List, default: null	The row and column size and order, for non-contiguous or non-zero based matrices.

ee.ConfusionMatrix.accuracy

Computes the overall accuracy of a confusion matrix defined as correct / total.

Usage	Returns
ConfusionMatrix.accuracy()	Float

Argument	Type	Details
this: confusionMatrix	ConfusionMatrix

ee.ConfusionMatrix.array

Returns a confusion matrix as an Array.

Usage	Returns
ConfusionMatrix.array()	Array

Argument	Type	Details
this: confusionMatrix	ConfusionMatrix

ee.ConfusionMatrix.consumersAccuracy

Computes the consumer's accuracy (reliability) of a confusion matrix defined as (correct / total) for each row.

Usage	Returns
ConfusionMatrix.consumersAccuracy()	Array

Argument	Type	Details
this: confusionMatrix	ConfusionMatrix

ee.ConfusionMatrix.kappa

Computes the Kappa statistic for the confusion matrix.

Usage	Returns
ConfusionMatrix.kappa()	Float

Argument	Type	Details
this: confusionMatrix	ConfusionMatrix

ee.ConfusionMatrix.order

Returns the name and order of the rows and columns of the matrix.

Usage	Returns
ConfusionMatrix.order()	List

Argument	Type	Details
this: confusionMatrix	ConfusionMatrix

ee.ConfusionMatrix.producersAccuracy

Computes the producer's accuracy of a confusion matrix defined as (correct / total) for each column.

Usage	Returns
ConfusionMatrix.producersAccuracy()	Array

Argument	Type	Details
this: confusionMatrix	ConfusionMatrix

ee.Date

Constructs a new Date object.

Usage	Returns
ee.Date(date, tz)	Date

Argument	Type	Details
date	ComputedObject|Date|Number|String	The date to convert, one of: a number (number of milliseconds since the epoch), an ISO Date string, a JavaScript Date or a ComputedObject.
tz	String, optional	An optional timezone only to be used with a string date.

ee.Date.advance

Create a new Date by adding the specified units to the given Date.

Usage	Returns
Date.advance(delta, unit, timeZone)	Date

Argument	Type	Details
this: date	Date
delta	Float
unit	String	One of 'year', 'month' 'week', 'day', 'hour', 'minute', or 'second'.
timeZone	String, default: null	The time zone (e.g. 'America/Los_Angeles'); defaults to UTC.

ee.Date.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
Date.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Date.difference

Returns the difference between two Dates in the specified units; the result is floating-point and based on the average length of the unit.

Usage	Returns
Date.difference(start, unit)	Float

Argument	Type	Details
this: date	Date
start	Date
unit	String	One of 'year', 'month' 'week', 'day', 'hour', 'minute', or 'second'.

ee.Date.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
Date.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Date.format

Convert a date to string.

Usage	Returns
Date.format(format, timeZone)	String

Argument	Type	Details
this: date	Date
format	String, default: null	A pattern, as described at http://joda-time.sourceforge.net/apidocs/org/joda/time/format/DateTimeFormat.html; if omitted will use ISO standard date formatting.
timeZone	String, default: null	The time zone (e.g. 'America/Los_Angeles'); defaults to UTC.

ee.Date.fromYMD

Returns a Date given year, month, day.

Usage	Returns
ee.Date.fromYMD(year, month, day, timeZone)	Date

Argument	Type	Details
year	Integer
month	Integer
day	Integer
timeZone	String, default: null	The time zone (e.g. 'America/Los_Angeles'); defaults to UTC.

ee.Date.get

Returns the specified unit of this date.

Usage	Returns
Date.get(unit, timeZone)	Long

Argument	Type	Details
this: date	Date
unit	String	One of 'year', 'month' (returns 1-12), 'week' (1-53), 'day' (1-31), 'hour' (0-23), 'minute' (0-59), or 'second' (0-59).
timeZone	String, default: null	The time zone (e.g. 'America/Los_Angeles'); defaults to UTC.

ee.Date.getFraction

Returns this date's elapsed fraction of the specified unit (between 0 and 1).

Usage	Returns
Date.getFraction(unit, timeZone)	Float

Argument	Type	Details
this: date	Date
unit	String	One of 'year', 'month' 'week', 'day', 'hour', 'minute', or 'second'.
timeZone	String, default: null	The time zone (e.g. 'America/Los_Angeles'); defaults to UTC.

ee.Date.getInfo

Retrieves the value of this object from the server.

If no callback function is provided, the request is made synchronously. If a callback is provided, the request is made asynchronously.

The asynchronous mode is preferred because the synchronous mode stops all other code (for example, the EE Code Editor UI) while waiting for the server. To make an asynchronous request, evaluate() is preferred over getInfo().

Returns the computed value of this object.

Usage	Returns
Date.getInfo(callback)	Object

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Date.getRange

Returns a DateRange covering the unit of the specified type that contains this date, e.g. Date('2013-3-15').getRange('year') returns DateRange('2013-1-1', '2014-1-1').

Usage	Returns
Date.getRange(unit, timeZone)	DateRange

Argument	Type	Details
this: date	Date
unit	String	One of 'year', 'month' 'week', 'day', 'hour', 'minute', or 'second'.
timeZone	String, default: null	The time zone (e.g. 'America/Los_Angeles'); defaults to UTC.

ee.Date.getRelative

Returns the specified (0-based) unit of this date relative to a larger unit, e.g. getRelative('day', 'year') returns a value between 0 and 365.

Usage	Returns
Date.getRelative(unit, inUnit, timeZone)	Long

Argument	Type	Details
this: date	Date
unit	String	One of 'month' 'week', 'day', 'hour', 'minute', or 'second'.
inUnit	String	One of 'year', 'month' 'week', 'day', 'hour', or 'minute'.
timeZone	String, default: null	The time zone (e.g. 'America/Los_Angeles'); defaults to UTC.

ee.Date.millis

The number of milliseconds since 1970-01-01T00:00:00Z.

Usage	Returns
Date.millis()	Long

Argument	Type	Details
this: date	Date

ee.Date.parse

Parse a date string, given a string describing its format.

Usage	Returns
ee.Date.parse(format, date, timeZone)	Date

Argument	Type	Details
format	String	A pattern, as described at http://joda-time.sourceforge.net/apidocs/org/joda/time/format/DateTimeFormat.html.
date	String	A string matching the given pattern.
timeZone	String, default: null	The time zone (e.g. 'America/Los_Angeles'); defaults to UTC.

ee.Date.serialize

Returns the serialized representation of this object.

Usage	Returns
Date.serialize()	String

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.

ee.Date.unitRatio

Returns the ratio of the length of one unit to the length of another, e.g. unitRatio('day', 'minute') returns 1440. Valid units are 'year', 'month' 'week', 'day', 'hour', 'minute', and 'second'.

Usage	Returns
ee.Date.unitRatio(numerator, denominator)	Float

Argument	Type	Details
numerator	String
denominator	String

ee.Date.update

Create a new Date by setting one or more of the units of the given Date to a new value. If a timeZone is given the new value(s) is interpreted in that zone.

Usage	Returns
Date.update(year, month, day, hour, minute, second, timeZone)	Date

Argument	Type	Details
this: date	Date
year	Integer, default: null
month	Integer, default: null
day	Integer, default: null
hour	Integer, default: null
minute	Integer, default: null
second	Integer, default: null
timeZone	String, default: null	The time zone (e.g. 'America/Los_Angeles'); defaults to UTC.

ee.DateRange

Creates a DateRange with the given start (inclusive) and end (exclusive), which may be Dates, numbers (interpreted as milliseconds since 1970-01-01T00:00:00Z), or strings (such as '1996-01-01T08:00'). If 'end' is not specified, a 1-millisecond range starting at 'start' is created.

Usage	Returns
ee.DateRange(start, end, timeZone)	DateRange

Argument	Type	Details
start	Object
end	Object, default: null
timeZone	String, default: null	If start and/or end are provided as strings, the time zone in which to interpret them; defaults to UTC.

ee.DateRange.contains

Returns true if the given Date or DateRange is within this DateRange.

Usage	Returns
DateRange.contains(other)	Boolean

Argument	Type	Details
this: dateRange	DateRange
other	Object

ee.DateRange.end

Returns the (exclusive) end of this DateRange.

Usage	Returns
DateRange.end()	Date

Argument	Type	Details
this: dateRange	DateRange

ee.DateRange.intersection

Returns a DateRange that contains all points in the intersection of this DateRange and another.

Usage	Returns
DateRange.intersection(other)	DateRange

Argument	Type	Details
this: dateRange	DateRange
other	DateRange

ee.DateRange.intersects

Returns true if the given DateRange has at least one point in common with this DateRange.

Usage	Returns
DateRange.intersects(other)	Boolean

Argument	Type	Details
this: dateRange	DateRange
other	DateRange

ee.DateRange.isEmpty

Returns true if this DateRange contains no dates (i.e. start >= end).

Usage	Returns
DateRange.isEmpty()	Boolean

Argument	Type	Details
this: dateRange	DateRange

ee.DateRange.isUnbounded

Returns true if this DateRange contains all dates.

Usage	Returns
DateRange.isUnbounded()	Boolean

Argument	Type	Details
this: dateRange	DateRange

ee.DateRange.start

Returns the (inclusive) start of this DateRange.

Usage	Returns
DateRange.start()	Date

Argument	Type	Details
this: dateRange	DateRange

ee.DateRange.unbounded

Returns a DateRange that includes all possible dates.

Usage	Returns
ee.DateRange.unbounded()	DateRange

No arguments.

ee.DateRange.union

Returns a DateRange that contains all points in the union of this DateRange and another.

Usage	Returns
DateRange.union(other)	DateRange

Argument	Type	Details
this: dateRange	DateRange
other	DateRange

ee.Dictionary

Constructs a new Dictionary.

Usage	Returns
ee.Dictionary(dict)	Dictionary

Argument	Type	Details
dict	ComputedObject|Object, optional	An object to convert to a dictionary. This constructor accepts the following types: 1) Another dictionary. 2) A list of key/value pairs. 3) A null or no argument (producing an empty dictionary)

ee.Dictionary.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
Dictionary.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Dictionary.combine

Combines two dictionaries. In the case of duplicate names, the output will contain the value of the second dictionary unless overwrite is false. Null values in both dictionaries are ignored / removed.

Usage	Returns
Dictionary.combine(second, overwrite)	Dictionary

Argument	Type	Details
this: first	Dictionary
second	Dictionary
overwrite	Boolean, default: true

ee.Dictionary.contains

Returns true if the dictionary contains the given key.

Usage	Returns
Dictionary.contains(key)	Boolean

Argument	Type	Details
this: dictionary	Dictionary
key	String, default: null

ee.Dictionary.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
Dictionary.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Dictionary.fromLists

Construct a dictionary from two parallel lists of keys and values.

Usage	Returns
ee.Dictionary.fromLists(keys, values)	Dictionary

Argument	Type	Details
keys	List
values	List

ee.Dictionary.get

Extracts a named value from a dictionary.

Usage	Returns
Dictionary.get(key)	Object

Argument	Type	Details
this: dictionary	Dictionary
key	String

ee.Dictionary.getArray

Extracts a named array value from a dictionary.

Usage	Returns
Dictionary.getArray(key)	Array

Argument	Type	Details
this: dictionary	Dictionary
key	String

ee.Dictionary.getGeometry

Extracts a named geometry value from a dictionary.

Usage	Returns
Dictionary.getGeometry(key)	Geometry

Argument	Type	Details
this: dictionary	Dictionary
key	String

ee.Dictionary.getInfo

Retrieves the value of this object from the server.

If no callback function is provided, the request is made synchronously. If a callback is provided, the request is made asynchronously.

The asynchronous mode is preferred because the synchronous mode stops all other code (for example, the EE Code Editor UI) while waiting for the server. To make an asynchronous request, evaluate() is preferred over getInfo().

Returns the computed value of this object.

Usage	Returns
Dictionary.getInfo(callback)	Object

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Dictionary.getNumber

Extracts a named number value from a dictionary.

Usage	Returns
Dictionary.getNumber(key)	Number

Argument	Type	Details
this: dictionary	Dictionary
key	String

ee.Dictionary.getString

Extracts a named string value from a dictionary.

Usage	Returns
Dictionary.getString(key)	String

Argument	Type	Details
this: dictionary	Dictionary
key	String

ee.Dictionary.keys

Retrieve the keys of a dictionary as a list. The keys will be sorted in natural order.

Usage	Returns
Dictionary.keys()	List

Argument	Type	Details
this: dictionary	Dictionary

ee.Dictionary.map

Map an algorithm over a dictionary. The algorithm is expected to take 2 arguments, a key from the existing dictionary and the value it corresponds to, and return a new value for the given key. If the algorithm returns null, the key is dropped.

Usage	Returns
Dictionary.map(baseAlgorithm)	Dictionary

Argument	Type	Details
this: dictionary	Dictionary
baseAlgorithm	Algorithm

ee.Dictionary.remove

Returns a dictionary with the specified keys removed.

Usage	Returns
Dictionary.remove(selectors, ignoreMissing)	Dictionary

Argument	Type	Details
this: dictionary	Dictionary
selectors	List	A list of keys names or regular expressions of key names to remove.
ignoreMissing	Boolean, default: false	Ignore selectors that don't match at least 1 key.

ee.Dictionary.rename

Rename elements in a dictionary.

Usage	Returns
Dictionary.rename(from, to, overwrite)	Dictionary

Argument	Type	Details
this: dictionary	Dictionary
from	List	A list of keys to be renamed.
to	List	A list of the new names for the keys listed in the 'from' parameter. Must have the same length as the 'from' list.
overwrite	Boolean, default: false	Allow overwriting existing properties with the same name.

ee.Dictionary.select

Returns a dictionary with only the specified keys.

Usage	Returns
Dictionary.select(selectors, ignoreMissing)	Dictionary

Argument	Type	Details
this: dictionary	Dictionary
selectors	List	A list of keys or regular expressions to select.
ignoreMissing	Boolean, default: false	Ignore selectors that don't match at least 1 key.

ee.Dictionary.serialize

Returns the serialized representation of this object.

Usage	Returns
Dictionary.serialize()	String

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.

ee.Dictionary.set

Set a value in a dictionary.

Usage	Returns
Dictionary.set(key, value)	Dictionary

Argument	Type	Details
this: dictionary	Dictionary
key	String
value	Object

ee.Dictionary.size

Returns the number of entries in a dictionary.

Usage	Returns
Dictionary.size()	Integer

Argument	Type	Details
this: dictionary	Dictionary

ee.Dictionary.toArray

Returns numeric values of a dictionary as an array. If no keys are specified, all values are returned in the natural ordering of the dictionary's keys. The default 'axis' is 0.

Usage	Returns
Dictionary.toArray(keys, axis)	Array

Argument	Type	Details
this: dictionary	Dictionary
keys	List, default: null
axis	Integer, default: 0

ee.Dictionary.toImage

Creates an image of constants from values in a dictionary. The bands of the image are ordered and named according to the names argument. If no names are specified, the bands are sorted alpha-numerically.

Usage	Returns
Dictionary.toImage(names)	Image

Argument	Type	Details
this: dictionary	Dictionary	The dictionary to convert.
names	List, default: null	The order of the output bands.

ee.Dictionary.values

Returns the values of a dictionary as a list. If no keys are specified, all values are returned in the natural ordering of the dictionary's keys.

Usage	Returns
Dictionary.values(keys)	List

Argument	Type	Details
this: dictionary	Dictionary
keys	List, default: null

ee.ErrorMargin

Returns an ErrorMargin of the given type with the given value.

Usage	Returns
ee.ErrorMargin(value, unit)	ErrorMargin

Argument	Type	Details
value	Float, default: null	The maximum error value allowed by the margin. Ignored if the unit is 'infinite'.
unit	String, default: "meters"	The unit of this margin: 'meters', 'projected' or 'infinite'.

ee.Feature

Features can be constructed from one of the following arguments plus an optional dictionary of properties:

  - An ee.Geometry.

  - A GeoJSON Geometry.

  - A GeoJSON Feature.

  - A computed object: reinterpreted as a geometry if properties are specified, and as a feature if they aren't.

Usage	Returns
ee.Feature(geometry, properties)	Feature

Argument	Type	Details
geometry	ComputedObject|Feature|Geometry|Object	A geometry or feature.
properties	Object, optional	A dictionary of metadata properties. If the first parameter is a Feature (instead of a geometry), this is unused.

ee.Feature.area

Returns the area of the feature's default geometry. Area of points and line strings is 0, and the area of multi geometries is the sum of the areas of their componenets (intersecting areas are counted multiple times).

Usage	Returns
Feature.area(maxError, proj)	Float

Argument	Type	Details
this: feature	Element	The feature from which the geometry is taken.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in square meters.

ee.Feature.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
Feature.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Feature.bounds

Returns a feature containing the bounding box of the geometry of a given feature.

Usage	Returns
Feature.bounds(maxError, proj)	Feature

Argument	Type	Details
this: feature	Element	The feature the bound of which is being calculated.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Feature.buffer

Returns the input buffered by a given distance. If the distance is positive, the geometry is expanded, and if the distance is negative, the geometry is contracted.

Usage	Returns
Feature.buffer(distance, maxError, proj)	Feature

Argument	Type	Details
this: feature	Element	The feature the geometry of which is being buffered.
distance	Float	The distance of the buffering, which may be negative. If no projection is specified, the unit is meters. Otherwise the unit is in the coordinate system of the projection.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when approximating the buffering circle and performing any necessary reprojection. If unspecified, defaults to 1% of the distance.
proj	Projection, default: null	If specified, the buffering will be performed in this projection and the distance will be interpreted as units of the coordinate system of this projection. Otherwise the distance is interpereted as meters and the buffering is performed in a spherical coordinate system.

ee.Feature.centroid

Returns a feature containing the point at the center of the highest-dimension components of the geometry of a feature. Lower-dimensional components are ignored, so the centroid of a geometry containing two polygons, three lines and a point is equivalent to the centroid of a geometry containing just the two polygons.

Usage	Returns
Feature.centroid(maxError, proj)	Feature

Argument	Type	Details
this: feature	Element	Calculates the centroid of this feature's default geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Feature.containedIn

Returns true iff the geometry of one feature is contained in the geometry of another.

Usage	Returns
Feature.containedIn(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Element	The feature containing the geometry used as the left operand of the operation.
right	Element	The feature containing the geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Feature.contains

Returns true iff the geometry of one feature contains the geometry of another.

Usage	Returns
Feature.contains(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Element	The feature containing the geometry used as the left operand of the operation.
right	Element	The feature containing the geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Feature.convexHull

Returns the feature, with the geometry replaced by the convex hull of the original geometry. The convex hull of a single point is the point itself, the convex hull of collinear points is a line, and the convex hull of everything else is a polygon. Note that a degenerate polygon with all vertices on the same line will result in a line segment.

Usage	Returns
Feature.convexHull(maxError, proj)	Feature

Argument	Type	Details
this: feature	Element	The feature containing the geometry whole hull is being calculated.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Feature.copyProperties

Copies metadata properties from one element to another.

Usage	Returns
Feature.copyProperties(source, properties, exclude)	Element

Argument	Type	Details
this: destination	Element, default: null	The object whose properties to override.
source	Element, default: null	The object from which to copy the properties.
properties	List, default: null	The properties to copy. If omitted, all ordinary (i.e. non-system) properties are copied.
exclude	List, default: null	The list of properties to exclude when copying all properties. Must not be specified if properties is.

ee.Feature.cutLines

Converts LineStrings into a MultiLineString by cutting it in two at each distance along the length of the LineString.

Usage	Returns
Feature.cutLines(distances, maxError, proj)	Feature

Argument	Type	Details
this: feature	Element	Cuts the lines of this feature's default geometry.
distances	List	Distances along each LineString to cut the line into separate pieces, measured in units of the given proj, or meters if proj is unspecified.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	Projection of the result and distance measurements, or WGS84 if unspecified.

ee.Feature.difference

Returns a feature with the properties of the 'left' feature, and the geometry that results from subtracting the 'right' geometry from the 'left' geometry.

Usage	Returns
Feature.difference(right, maxError, proj)	Feature

Argument	Type	Details
this: left	Element	The feature containing the geometry used as the left operand of the operation. The properties of the result will be copied from this object.
right	Element	The feature containing the geometry used as the right operand of the operation. The properties of this object are ignored.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Feature.disjoint

Returns true iff the feature geometries are disjoint.

Usage	Returns
Feature.disjoint(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Element	The feature containing the geometry used as the left operand of the operation.
right	Element	The feature containing the geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Feature.dissolve

Returns a feature containing the union of the geometry of a feature. This leaves single geometries untouched, and unions multi geometries.

Usage	Returns
Feature.dissolve(maxError, proj)	Element

Argument	Type	Details
this: feature	Element	The feature the geometry of which is being unioned.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the union will be performed in this projection. Otherwise it will be performed in a spherical coordinate system.

ee.Feature.distance

Returns the minimum distance between the geometries of two features.

Usage	Returns
Feature.distance(right, maxError, proj)	Float

Argument	Type	Details
this: left	Element	The feature containing the geometry used as the left operand of the operation.
right	Element	The feature containing the geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Feature.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
Feature.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Feature.get

Extract a property from a feature.

Usage	Returns
Feature.get(property)

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.Feature.getArray

Extract a property from a feature.

Usage	Returns
Feature.getArray(property)	Array

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.Feature.getInfo

An imperative function that returns information about this feature via an AJAX call.

Returns a description of the feature.

Usage	Returns
Feature.getInfo(callback)	GeoJSONFeature

Argument	Type	Details
this: feature	Feature	The Feature instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously. If supplied, will be called with the first parameter if successful and the second if unsuccessful.

ee.Feature.getMap

An imperative function that returns a map ID and token, suitable for generating a Map overlay.

Returns an object containing a mapid string, an access token plus a Collection.draw image wrapping a FeatureCollection containing this feature. Or undefined if a callback is provided.

Usage	Returns
Feature.getMap(visParams, callback)	MapId|Object

Argument	Type	Details
this: feature	Feature	The Feature instance.
visParams	Object, optional	The visualization parameters. Currently only one parameter, 'color', containing an RGB color string is user. If vis_params is null, black ("000000") is used.
callback	Function, optional	An async callback.

ee.Feature.getNumber

Extract a property from a feature.

Usage	Returns
Feature.getNumber(property)	Number

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.Feature.getString

Extract a property from a feature.

Usage	Returns
Feature.getString(property)	String

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.Feature.id

Returns the ID of a given element within a collection. Objects outside collections are not guaranteed to have IDs.

Usage	Returns
Feature.id()	String

Argument	Type	Details
this: element	Element	The element from which the ID is taken.

ee.Feature.intersection

Returns a feature containing the intersection of the geometries of two features, with the properties of the left feature.

Usage	Returns
Feature.intersection(right, maxError, proj)	Feature

Argument	Type	Details
this: left	Element	The feature containing the geometry used as the left operand of the operation. The properties of the result will be copied from this object.
right	Element	The feature containing the geometry used as the right operand of the operation. The properties of this object are ignored.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Feature.intersects

Returns true iff the feature geometries intersect.

Usage	Returns
Feature.intersects(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Element	The feature containing the geometry used as the left operand of the operation.
right	Element	The feature containing the geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Feature.length

Returns the length of the linear parts of the geometry of a given feature. Polygonal parts are ignored. The length of multi geometries is the sum of the lengths of their components.

Usage	Returns
Feature.length(maxError, proj)	Float

Argument	Type	Details
this: feature	Element	The feature from which the geometry is taken.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Feature.perimeter

Returns the length of the perimeter of the polygonal parts of the geometry of a given feature. The perimeter of multi geometries is the sum of the perimeters of their components.

Usage	Returns
Feature.perimeter(maxError, proj)	Float

Argument	Type	Details
this: feature	Element	The feature from which the geometry is taken.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Feature.propertyNames

Returns the names of properties on this element.

Usage	Returns
Feature.propertyNames()	List

Argument	Type	Details
this: element	Element

ee.Feature.select

Selects properties from a feature by name or RE2-compatible regex and optionally renames them.

Usage	Returns
Feature.select(propertySelectors, newProperties, retainGeometry)	Element

Argument	Type	Details
this: input	Element	The feature to select properties from.
propertySelectors	List	A list of names or regexes specifying the properties to select.
newProperties	List, default: null	Optional new names for the output properties. Must match the number of properties selected.
retainGeometry	Boolean, default: true	When false, the result will have a NULL geometry.

ee.Feature.serialize

Returns the serialized representation of this object.

Usage	Returns
Feature.serialize()	String

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.

ee.Feature.set

Overrides one or more metadata properties of an Element.

Returns the element with the specified properties overridden.

Usage	Returns
Feature.set(var_args)	Element

Argument	Type	Details
this: element	Element	The Element instance.
var_args	VarArgs	Either a dictionary of properties, or a vararg sequence of properties, e.g. key1, value1, key2, value2, ...

ee.Feature.setGeometry

Returns the feature, with the geometry replaced by the specified geometry.

Usage	Returns
Feature.setGeometry(geometry)	Element

Argument	Type	Details
this: feature	Element	The feature on which to set the geometry.
geometry	Geometry, default: null	The geometry to set.

ee.Feature.setMulti

Overrides one or more metadata properties of an object.

Usage	Returns
Feature.setMulti(properties)	Element

Argument	Type	Details
this: object	Element	The object whose properties to override.
properties	Dictionary	The property values to override.

ee.Feature.simplify

Simplifies the geometry of a feature to within a given error margin. Note that this does not respect the error margin requested by the consumer of this algorithm, unless maxError is explicitly specified to be null.

This overrides the default Earth Engine policy for propagating error margins, so regardless of the geometry accuracy requested from the output, the inputs will be requested with the error margin specified in the arguments to this algorithm. This results in consistent rendering at all zoom levels of a rendered vector map, but at lower zoom levels (i.e. zoomed out), the geometry won't be simplified, which may harm performance.

Usage	Returns
Feature.simplify(maxError, proj)	Feature

Argument	Type	Details
this: feature	Element	The feature whose geometry is being simplified.
maxError	ErrorMargin	The maximum amount of error by which the result may differ from the input.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in the same projection as the input. If the error margin is in projected units, the margin will be interpreted as units of this projection

ee.Feature.symmetricDifference

Returns a feature containing the symmetric difference between geometries of two features.

Usage	Returns
Feature.symmetricDifference(right, maxError, proj)	Feature

Argument	Type	Details
this: left	Element	The feature containing the geometry used as the left operand of the operation. The properties of the result will be copied from this object.
right	Element	The feature containing the geometry used as the right operand of the operation. The properties of this object are ignored.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Feature.toArray

Creates an array from the given properties of an object, which must all be numbers.

Usage	Returns
Feature.toArray(properties)	Array

Argument	Type	Details
this: feature	Feature	The object from which to select array properties.
properties	List	The property selectors for each array element.

ee.Feature.toDictionary

Extract properties from a feature as a dictionary.

Usage	Returns
Feature.toDictionary(properties)	Dictionary

Argument	Type	Details
this: element	Element	The feature to extract the property from.
properties	List, default: null	The list of properties to extract. Defaults to all non-system properties.

ee.Feature.transform

Transforms the geometry of a feature to a specific projection.

Usage	Returns
Feature.transform(proj, maxError)	Feature

Argument	Type	Details
this: feature	Element	The feature the geometry of which is being converted.
proj	Projection, optional	The target projection. Defaults to WGS84. If this has a geographic CRS, the edges of the geometry will be interpreted as geodesics. Otherwise they will be interpreted as straight lines in the projection.
maxError	ErrorMargin, default: null	The maximum projection error.

ee.Feature.union

Returns a feature containing the union of the geometries of two features.

Usage	Returns
Feature.union(right, maxError, proj)	Feature

Argument	Type	Details
this: left	Element	The feature containing the geometry used as the left operand of the operation. The properties of the result will be copied from this object.
right	Element	The feature containing the geometry used as the right operand of the operation. The properties of this object are ignored.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Feature.withinDistance

Returns true iff the geometries of two features are within a specified distance.

Usage	Returns
Feature.withinDistance(right, distance, maxError, proj)	Boolean

Argument	Type	Details
this: left	Element	The feature containing the geometry used as the left operand of the operation.
right	Element	The feature containing the geometry used as the right operand of the operation.
distance	Float	The distance threshold. If a projection is specified, the distance is in units of that projected coordinate system, otherwise it is in meters.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.FeatureCollection

FeatureCollections can be constructed from the following arguments:

  - A string: assumed to be the name of a collection.

  - A single geometry.

  - A single feature.

  - A list of features.

  - A computed object: reinterpreted as a collection.

Usage	Returns
ee.FeatureCollection(args, column)	FeatureCollection

Argument	Type	Details
args	ComputedObject|Feature|FeatureCollection|Geometry|List	The constructor arguments.
column	String, optional	The name of the geometry column to use. Only useful when working with a named collection.

ee.FeatureCollection.aggregate_array

Aggregates over a given property of the objects in a collection, calculating a list of all the values of the selected property.

Usage	Returns
FeatureCollection.aggregate_array(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_count

Aggregates over a given property of the objects in a collection, calculating the number of non-null values of the property.

Usage	Returns
FeatureCollection.aggregate_count(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_count_distinct

Aggregates over a given property of the objects in a collection, calculating the number of distinct values for the selected property.

Usage	Returns
FeatureCollection.aggregate_count_distinct(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_first

Aggregates over a given property of the objects in a collection, calculating the property value of the first object in the collection.

Usage	Returns
FeatureCollection.aggregate_first(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_histogram

Aggregates over a given property of the objects in a collection, calculating a histogram of the selected property.

Usage	Returns
FeatureCollection.aggregate_histogram(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_max

Aggregates over a given property of the objects in a collection, calculating the maximum of the values of the selected property.

Usage	Returns
FeatureCollection.aggregate_max(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_mean

Aggregates over a given property of the objects in a collection, calculating the mean of the selected property.

Usage	Returns
FeatureCollection.aggregate_mean(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_min

Aggregates over a given property of the objects in a collection, calculating the minimum of the values of the selected property.

Usage	Returns
FeatureCollection.aggregate_min(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_product

Aggregates over a given property of the objects in a collection, calculating the product of the values of the selected property.

Usage	Returns
FeatureCollection.aggregate_product(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_sample_sd

Aggregates over a given property of the objects in a collection, calculating the sample std. deviation of the values of the selected property.

Usage	Returns
FeatureCollection.aggregate_sample_sd(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_sample_var

Aggregates over a given property of the objects in a collection, calculating the sample variance of the values of the selected property.

Usage	Returns
FeatureCollection.aggregate_sample_var(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_stats

Aggregates over a given property of the objects in a collection, calculating the sum, min, max, mean, sample standard deviation, sample variance, total standard deviation and total variance of the selected property.

Usage	Returns
FeatureCollection.aggregate_stats(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_sum

Aggregates over a given property of the objects in a collection, calculating the sum of the values of the selected property.

Usage	Returns
FeatureCollection.aggregate_sum(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_total_sd

Aggregates over a given property of the objects in a collection, calculating the total std. deviation of the values of the selected property.

Usage	Returns
FeatureCollection.aggregate_total_sd(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aggregate_total_var

Aggregates over a given property of the objects in a collection, calculating the total variance of the values of the selected property.

Usage	Returns
FeatureCollection.aggregate_total_var(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.FeatureCollection.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
FeatureCollection.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.FeatureCollection.classify

Classifies each feature in a collection.

Usage	Returns
FeatureCollection.classify(classifier, outputName)	FeatureCollection

Argument	Type	Details
this: features	FeatureCollection	The collection of features to classify. Each feature must contain all the properties in the classifier's schema.
classifier	Classifier	The classifier to use.
outputName	String, default: "classification"	The name of the output property to be added.

ee.FeatureCollection.cluster

Clusters each feature in a collection, adding a new column to each feature containing the cluster number to which it has been assigned.

Usage	Returns
FeatureCollection.cluster(clusterer, outputName)	FeatureCollection

Argument	Type	Details
this: features	FeatureCollection	The collection of features to cluster. Each feature must contain all the properties in the clusterer's schema.
clusterer	Clusterer	The clusterer to use.
outputName	String, default: "cluster"	The name of the output property to be added.

ee.FeatureCollection.copyProperties

Copies metadata properties from one element to another.

Usage	Returns
FeatureCollection.copyProperties(source, properties, exclude)	Element

Argument	Type	Details
this: destination	Element, default: null	The object whose properties to override.
source	Element, default: null	The object from which to copy the properties.
properties	List, default: null	The properties to copy. If omitted, all ordinary (i.e. non-system) properties are copied.
exclude	List, default: null	The list of properties to exclude when copying all properties. Must not be specified if properties is.

ee.FeatureCollection.distance

Produces a DOUBLE image where each pixel is the distance in meters from the pixel center to the nearest Point, LineString, or polygonal boundary in the collection. Note distance is also measured within interiors of polygons. Pixels that are not within 'searchRadius' meters of a geometry will be masked out.

Distances are computed on a sphere, so there is a small error proportional to the latitude difference between each pixel and the nearest geometry.

Usage	Returns
FeatureCollection.distance(searchRadius, maxError)	Image

Argument	Type	Details
this: features	FeatureCollection	Feature collection from which to get features used to compute pixel distances.
searchRadius	Float, default: 100000	Maximum distance in meters from each pixel to look for edges. Pixels will be masked unless there are edges within this distance.
maxError	Float, default: 100	Maximum reprojection error in meters, only used if the input polylines require reprojection. If '0' is provided, then this operation will fail if projection is required.

ee.FeatureCollection.distinct

Removes duplicates from a collection. Note that duplicates are determined using a strong hash over the serialized form of the selected properties.

Usage	Returns
FeatureCollection.distinct(properties)	FeatureCollection

Argument	Type	Details
this: collection	FeatureCollection	The input collection from which objects will be selected.
properties	Object	A property name or a list of property names to use for comparison. The '.geo' property can be included to compare object geometries.

ee.FeatureCollection.draw

Paints a vector collection for visualization. Not intended for use as input to other algorithms.

Usage	Returns
FeatureCollection.draw(color, pointRadius, strokeWidth)	Image

Argument	Type	Details
this: collection	FeatureCollection	The collection to draw.
color	String	A hex string in the format RRGGBB specifying the color to use for drawing the features.
pointRadius	Integer, default: 3	The radius in pixels of the point markers.
strokeWidth	Integer, default: 2	The width in pixels of lines and polygon borders.

ee.FeatureCollection.errorMatrix

Computes a 2D error matrix for a collection by comparing two columns of a collection: one containing the actual values, and one containing predicted values.The values are expected to be small contiguous integers, starting from 0. Axis 0 (the rows) of the matrix correspond to the actual values, and Axis 1 (the columns) to the predicted values.

Usage	Returns
FeatureCollection.errorMatrix(actual, predicted, order)	ConfusionMatrix

Argument	Type	Details
this: collection	FeatureCollection	The input collection.
actual	String	The name of the property containing the actual value.
predicted	String	The name of the property containing the predicted value.
order	List, default: null	A list of the expected values. If this argument is not specified, the values are assumed to be contiguous and span the range 0 to maxValue. If specified, only values matching this list are used, and the matrix will have dimensions and order matching the this list.

ee.FeatureCollection.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
FeatureCollection.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.FeatureCollection.filter

Apply a filter to this collection.

Returns the filtered collection.

Usage	Returns
FeatureCollection.filter(filter)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
filter	Filter	A filter to apply to this collection.

ee.FeatureCollection.filterBounds

Shortcut to filter a collection by geometry. Items in the collection with a footprint that fails to intersect the bounds will be excluded when the collection is evaluated.

This is equivalent to this.filter(ee.Filter.bounds(...)).

Returns the filtered collection.

Usage	Returns
FeatureCollection.filterBounds(geometry)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
geometry	Feature|Geometry	The geometry to filter to.

ee.FeatureCollection.filterDate

Shortcut to filter a collection by a date range. Items in the collection with a time_start property that doesn't fall between the start and end dates will be excluded.

This is equivalent to this.filter(ee.Filter.date(...)).

Returns the filtered collection.

Usage	Returns
FeatureCollection.filterDate(start, end)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
start	Date|Number|String	The start date as a Date object, a string representation of a date, or milliseconds since epoch.
end	Date|Number|String, optional	The end date as a Date object, a string representation of a date, or milliseconds since epoch.

ee.FeatureCollection.filterMetadata

Shortcuts to filter a collection by metadata. This is equivalent to this.filter(ee.Filter.metadata(...)).

Returns the filtered collection.

Usage	Returns
FeatureCollection.filterMetadata(name, operator, value)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
name	String	The name of a property to filter.
operator	String	The name of a comparison operator. Possible values are: "equals", "less_than", "greater_than", "not_equals", "not_less_than", "not_greater_than", "starts_with", "ends_with", "not_starts_with", "not_ends_with", "contains", "not_contains".
value	Object	- The value to compare against.

ee.FeatureCollection.first

Returns the first entry from a given collection.

Usage	Returns
FeatureCollection.first()	Element

Argument	Type	Details
this: collection	FeatureCollection	The collection from which to select the first entry.

ee.FeatureCollection.flatten

Flattens collections of collections.

Usage	Returns
FeatureCollection.flatten()	FeatureCollection

Argument	Type	Details
this: collection	FeatureCollection	The input collection of collections.

ee.FeatureCollection.geometry

Extracts and merges the geometries of a collection. Requires that all the geometries in the collection share the projection and edge interpretation.

Usage	Returns
FeatureCollection.geometry(maxError)	Geometry

Argument	Type	Details
this: collection	FeatureCollection	The collection whose geometries will be extracted.
maxError	ErrorMargin, optional	An error margin to use when merging geometries.

ee.FeatureCollection.get

Extract a property from a feature.

Usage	Returns
FeatureCollection.get(property)

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.FeatureCollection.getArray

Extract a property from a feature.

Usage	Returns
FeatureCollection.getArray(property)	Array

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.FeatureCollection.getDownloadURL

Get a download URL.

Returns a download URL or undefined if a callback was specified.

Usage	Returns
FeatureCollection.getDownloadURL(format, selectors, filename, callback)	Object|String

Argument	Type	Details
this: featurecollection	FeatureCollection	The FeatureCollection instance.
format	String, optional	The format of download, one of: "csv", "json", "kml", "kmz".
selectors	List, optional	Selectors that should be used to determine which attributes will be downloaded.
filename	String, optional	Name of the file to be downloaded.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.FeatureCollection.getInfo

An imperative function that returns all the known information about this collection via an AJAX call.

Returns a collection description whose fields include:

  - features: a list containing metadata about the features in the collection.

  - properties: an optional dictionary containing the collection's metadata properties.

Usage	Returns
FeatureCollection.getInfo(callback)	FeatureCollectionDescription

Argument	Type	Details
this: featurecollection	FeatureCollection	The FeatureCollection instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously. If supplied, will be called with the first parameter if successful and the second if unsuccessful.

ee.FeatureCollection.getMap

An imperative function that returns a map id and token, suitable for generating a Map overlay.

Returns an object containing a mapid string, an acess token, plus a Collection.draw image wrapping this collection. Or undefined if a callback was specified.

Usage	Returns
FeatureCollection.getMap(visParams, callback)	MapId|Object

Argument	Type	Details
this: featurecollection	FeatureCollection	The FeatureCollection instance.
visParams	Object, optional	The visualization parameters. Currently only one parameter, 'color', containing an RGB color string is allowed. If vis_params isn't specified, then the color #000000 is used.
callback	Function, optional	An async callback. If not supplied, the call is made synchronously.

ee.FeatureCollection.getNumber

Extract a property from a feature.

Usage	Returns
FeatureCollection.getNumber(property)	Number

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.FeatureCollection.getString

Extract a property from a feature.

Usage	Returns
FeatureCollection.getString(property)	String

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.FeatureCollection.inverseDistance

Returns an inverse-distance weighted estimate of the value at each pixel.

Usage	Returns
FeatureCollection.inverseDistance(range, propertyName, mean, stdDev, gamma, reducer)	Image

Argument	Type	Details
this: collection	FeatureCollection	Feature collection to use as source data for the estimation.
range	Float	Size of the interpolation window (in meters).
propertyName	String	Name of the numeric property to be estimated.
mean	Float	Global expected mean.
stdDev	Float	Global standard deviation.
gamma	Float, default: 1	Determines how quickly the estimates tend towards the global mean.
reducer	Reducer, default: null	Reducer used to collapse the 'propertyName' value of overlapping points into a single value.

ee.FeatureCollection.iterate

Applies a user-supplied function to each element of a collection. The user-supplied function is given two arguments: the current element, and the value returned by the previous call to iterate() or the first argument, for the first iteration. The result is the value returned by the final call to the user-supplied function.

Returns the result of the Collection.iterate() call.

Usage	Returns
FeatureCollection.iterate(algorithm, first)	ComputedObject

Argument	Type	Details
this: collection	Collection	The Collection instance.
algorithm	Function	The function to apply to each element. Must take two arguments: an element of the collection and the value from the previous iteration.
first	Object, optional	The initial state.

ee.FeatureCollection.kriging

Returns the results of sampling a Kriging estimator at each pixel.

Usage	Returns
FeatureCollection.kriging(propertyName, shape, range, sill, nugget, maxDistance, reducer)	Image

Argument	Type	Details
this: collection	FeatureCollection	Feature collection to use as source data for the estimation.
propertyName	String	Property to be estimated (must be numeric).
shape	String	Semivariogram shape (one of {exponential, gaussian, spherical}).
range	Float	Semivariogram range.
sill	Float	Semivariogram sill.
nugget	Float	Semivariogram nugget.
maxDistance	Float, default: null	Radius which determines which features are included in each pixel's computation. Defaults to the semivariogram's range.
reducer	Reducer, default: null	Reducer used to collapse the 'propertyName' value of overlapping points into a single value.

ee.FeatureCollection.limit

Limit a collection to the specified number of elements, optionally sorting them by a specified property first.

Returns the limited collection.

Usage	Returns
FeatureCollection.limit(max, property, ascending)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
max	Number	The number to limit the collection to.
property	String, optional	The property to sort by, if sorting.
ascending	Boolean, optional	Whether to sort in ascending or descending order. The default is true (ascending).

ee.FeatureCollection.makeArray

Add a 1-D Array to each feature in a collection by combining a list of properties for each feature into a 1-D Array. All of the properties must be numeric values. If a feature doesn't contain all of the named properties, or any of them aren't numeric, the feature will be dropped from the resulting collection.

Usage	Returns
FeatureCollection.makeArray(properties, name)	FeatureCollection

Argument	Type	Details
this: collection	FeatureCollection	The input collection from which properties will be selected.
properties	List	The properties to select.
name	String, default: "array"	The name of the new array property.

ee.FeatureCollection.map

Maps an algorithm over a collection.

Returns the mapped collection.

Usage	Returns
FeatureCollection.map(algorithm, dropNulls)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
algorithm	Function	The operation to map over the images or features of the collection. A JavaScript function that receives an image or features and returns one. The function is called only once and the result is captured as a description, so it cannot perform imperative operations or rely on external state.
dropNulls	Boolean, optional	If true, the mapped algorithm is allowed to return nulls, and the elements for which it returns nulls will be dropped.

ee.FeatureCollection.merge

Merges two collections into one. The result has all the elements that were in either collection.

Usage	Returns
FeatureCollection.merge(collection2)	FeatureCollection

Argument	Type	Details
this: collection1	FeatureCollection	The first collection to merge.
collection2	FeatureCollection	The second collection to merge.

ee.FeatureCollection.propertyNames

Returns the names of properties on this element.

Usage	Returns
FeatureCollection.propertyNames()	List

Argument	Type	Details
this: element	Element

ee.FeatureCollection.randomColumn

Adds a column of deterministic pseudorandom numbers to a collection. The numbers are double-precision floating point numbers in the range 0.0 (inclusive) to 1.0 (exclusive).

Usage	Returns
FeatureCollection.randomColumn(columnName, seed)	FeatureCollection

Argument	Type	Details
this: collection	FeatureCollection	The input collection to which to add a random column.
columnName	String, default: "random"	The name of the column to add.
seed	Long, default: 0	A seed used when generating the random numbers.

ee.FeatureCollection.randomPoints

Generates points that are uniformly random on the sphere, and within the given region.

Usage	Returns
ee.FeatureCollection.randomPoints(region, points, seed, maxError)	FeatureCollection

Argument	Type	Details
region	Geometry	The region to generate points for.
points	Integer, default: 1000	The number of points to generate.
seed	Long, default: 0	A seed for the random number generator.
maxError	ErrorMargin, optional	The maximum amount of error tolerated when performing any necessary reprojection.

ee.FeatureCollection.reduceColumns

Apply a reducer to each element of a collection, using the given selectors to determine the inputs.

Returns a dictionary of results, keyed with the output names.

Usage	Returns
FeatureCollection.reduceColumns(reducer, selectors, weightSelectors)	Dictionary

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
reducer	Reducer	The reducer to apply.
selectors	List	A selector for each input of the reducer.
weightSelectors	List, default: null	A selector for each weighted input of the reducer.

ee.FeatureCollection.reduceToImage

Creates an image from a feature collection by applying a reducer over the selected properties of all the features that intersect each pixel.

Usage	Returns
FeatureCollection.reduceToImage(properties, reducer)	Image

Argument	Type	Details
this: collection	FeatureCollection	Feature collection to intersect with each output pixel.
properties	List	Properties to select from each feature and pass into the reducer.
reducer	Reducer	A Reducer to combine the properties of each intersecting feature into a final result to store in the pixel.

ee.FeatureCollection.remap

Remaps the value of a specific property in a collection. Takes two parallel lists and maps values found in one to values in the other. Any element with a value that is not specified in the first list is dropped from the output collection.

Usage	Returns
FeatureCollection.remap(lookupIn, lookupOut, columnName)	FeatureCollection

Argument	Type	Details
this: collection	FeatureCollection	The collection to be modified.
lookupIn	List	The input mapping values. Restricted to strings and integers.
lookupOut	List	The output mapping values. Must be the same size as lookupIn.
columnName	String	The name of the property to remap.

ee.FeatureCollection.select

Select properties from each Feature in a collection. It is also possible to call this function with only string arguments; they will be all be interpreted as propertySelectors (varargs).

Returns the feature collection with selected properties.

Usage	Returns
FeatureCollection.select(propertySelectors, newProperties, retainGeometry)	FeatureCollection

Argument	Type	Details
this: featurecollection	FeatureCollection	The FeatureCollection instance.
propertySelectors	List	A list of names or regexes specifying the attributes to select.
newProperties	List, optional	A list of new names for the output properties. Must match the number of properties selected.
retainGeometry	Boolean, optional	When false, the result will have a NULL geometry. Defaults to true.

ee.FeatureCollection.serialize

Returns the serialized representation of this object.

Usage	Returns
FeatureCollection.serialize()	String

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.

ee.FeatureCollection.set

Overrides one or more metadata properties of an Element.

Returns the element with the specified properties overridden.

Usage	Returns
FeatureCollection.set(var_args)	Element

Argument	Type	Details
this: element	Element	The Element instance.
var_args	VarArgs	Either a dictionary of properties, or a vararg sequence of properties, e.g. key1, value1, key2, value2, ...

ee.FeatureCollection.setMulti

Overrides one or more metadata properties of an object.

Usage	Returns
FeatureCollection.setMulti(properties)	Element

Argument	Type	Details
this: object	Element	The object whose properties to override.
properties	Dictionary	The property values to override.

ee.FeatureCollection.size

Returns the number of elements in the collection.

Usage	Returns
FeatureCollection.size()	Integer

Argument	Type	Details
this: collection	FeatureCollection	The collection to count.

ee.FeatureCollection.sort

Sort a collection by the specified property.

Returns the sorted collection.

Usage	Returns
FeatureCollection.sort(property, ascending)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
property	String	The property to sort by.
ascending	Boolean, optional	Whether to sort in ascending or descending order. The default is true (ascending).

ee.FeatureCollection.style

Draw a vector collection for visualization using a simple style language.

Usage	Returns
FeatureCollection.style(color, pointSize, pointShape, width, fillColor, styleProperty, neighborhood)	Image

Argument	Type	Details
this: collection	FeatureCollection	The collection to draw.
color	String, default: "black"	A default color (CSS 3.0 color value e.g. 'FF0000' or 'red') to use for drawing the features. Supports opacity (e.g.: 'FF000088' for 50% transparent red).
pointSize	Integer, default: 3	The default size in pixels of the point markers.
pointShape	String, default: "circle"	The default shape of the marker to draw at each point location. One of: circle, square, diamond, cross, plus, pentagram, hexagram, triangle, triangle_up triangle_down, triangle_left, triangle_right, pentagon, hexagon, star5, star6. This argument also supports the following Matlab marker abbreviations: o, s, d, x, +, p, h, ^, v, <, >.
width	Float, default: 2	The default line width for lines and outlines for polygons and point shapes.
fillColor	String, default: null	The color for filling polygons and point shapes. Defaults to 'color' at 0.66 opacity.
styleProperty	String, default: null	A per-feature property expected to contain a dictionary. Values in the dictionary override any default values for that feature.
neighborhood	Integer, default: 5	If styleProperty is used and any feature has a pointSize or width larger than the defaults, tiling artifacts can occur. Specifies the maximum neighborhood (pointSize + width) needed for any feature.

ee.FeatureCollection.toDictionary

Extract properties from a feature as a dictionary.

Usage	Returns
FeatureCollection.toDictionary(properties)	Dictionary

Argument	Type	Details
this: element	Element	The feature to extract the property from.
properties	List, default: null	The list of properties to extract. Defaults to all non-system properties.

ee.FeatureCollection.toList

Returns the elements of a collection as a list.

Usage	Returns
FeatureCollection.toList(count, offset)	List

Argument	Type	Details
this: collection	FeatureCollection	The input collection to fetch.
count	Integer	The maximum number of elements to fetch.
offset	Integer, default: 0	The number of elements to discard from the start. If set, (offset + count) elements will be fetched and the first offset elements will be discarded.

ee.FeatureCollection.union

Merges all geometries in a given collection into one and returns a collection containing a single feature with only an ID of 'union_result' and a geometry.

Usage	Returns
FeatureCollection.union(maxError)	FeatureCollection

Argument	Type	Details
this: collection	FeatureCollection	The collection being merged.
maxError	ErrorMargin, default: null	The maximum error allowed when performing any necessary reprojections. If not specified, defaults to the error margin requested from the output.

ee.Filter

Constructs a new filter. This constructor accepts the following args:

  - Another filter.

  - A list of filters (which are implicitly ANDed together).

  - A ComputedObject returning a filter. Users shouldn't be making these; they're produced by the generator functions below.

Usage	Returns
ee.Filter(filter)	Filter

Argument	Type	Details
filter	Filter|List, optional	Optional filter to add.

ee.Filter.and

Combine two or more filters using boolean AND.

Returns the constructed filter.

Usage	Returns
ee.Filter.and(var_args)	Filter

Argument	Type	Details
var_args	VarArgs	The filters to combine.

ee.Filter.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
Filter.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Filter.bounds

Filter on bounds.

Returns the modified filter.

Usage	Returns
ee.Filter.bounds(geometry, errorMargin)	Filter

Argument	Type	Details
geometry	ComputedObject|FeatureCollection|Geometry	The geometry, feature or collection to filter to.
errorMargin	ComputedObject|Number, optional	An optional error margin. If a number, interpreted as sphere surface meters.

ee.Filter.calendarRange

Returns a filter that passes if the object's timestamp falls within the given range of a calendar field. The month, day_of_year, day_of_month, and day_of_week are 1-based. Times are assumed to be in UTC. Weeks are assumed to begin on Monday as day 1. If end < start then this tests for value >= start OR value <= end, to allow for wrapping.

Usage	Returns
ee.Filter.calendarRange(start, end, field)	Filter

Argument	Type	Details
start	Integer	The start of the desired calendar field, inclusive.
end	Integer, default: null	The end of the desired calendar field, inclusive. Defaults to the same value as start.
field	String, default: "day_of_year"	The calendar field to filter over. Options are: 'year', 'month', 'hour', 'minute', 'day_of_year', 'day_of_month', and 'day_of_week'.

ee.Filter.contains

Creates a unary or binary filter that passes if the left geometry contains the right geometry (empty geometries are not contained in anything).

Usage	Returns
ee.Filter.contains(leftField, rightValue, rightField, leftValue, maxError)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.
maxError	ErrorMargin, optional	The maximum reprojection error allowed during filter application.

ee.Filter.date

Filter images by date. The start and end may be a Date, numbers

(interpreted as milliseconds since 1970-01-01T00:00:00Z), or strings (such as '1996-01-01T08:00'). Based on 'system:time_start'.

Returns the constructed filter.

Usage	Returns
ee.Filter.date(start, end)	Filter

Argument	Type	Details
start	Date|Number|String	The inclusive start date.
end	Date|Number|String, optional	The optional exclusive end date. If not specified, a 1-millisecond range starting at 'start' is created.

ee.Filter.dateRangeContains

Creates a unary or binary filter that passes if the left operand, a date range, contains the right operand, a date.

Usage	Returns
ee.Filter.dateRangeContains(leftField, rightValue, rightField, leftValue)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.

ee.Filter.dayOfYear

Returns a filter that passes if the object's timestamp falls within the given day-of-year range.

Usage	Returns
ee.Filter.dayOfYear(start, end)	Filter

Argument	Type	Details
start	Integer	The start of the desired day range, inclusive.
end	Integer	The end of the desired day range, exclusive.

ee.Filter.disjoint

Creates a unary or binary filter that passes unless the left geometry intersects the right geometry.

Usage	Returns
ee.Filter.disjoint(leftField, rightValue, rightField, leftValue, maxError)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.
maxError	ErrorMargin, optional	The maximum reprojection error allowed during filter application.

ee.Filter.eq

Filter to metadata equal to the given value.

Returns the constructed filter.

Usage	Returns
ee.Filter.eq(name, value)	Filter

Argument	Type	Details
name	String	The property name to filter on.
value	Object	The value to compare against.

ee.Filter.equals

Creates a unary or binary filter that passes if the two operands are equals.

Usage	Returns
ee.Filter.equals(leftField, rightValue, rightField, leftValue)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.

ee.Filter.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
Filter.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Filter.getInfo

Retrieves the value of this object from the server.

If no callback function is provided, the request is made synchronously. If a callback is provided, the request is made asynchronously.

The asynchronous mode is preferred because the synchronous mode stops all other code (for example, the EE Code Editor UI) while waiting for the server. To make an asynchronous request, evaluate() is preferred over getInfo().

Returns the computed value of this object.

Usage	Returns
Filter.getInfo(callback)	Object

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Filter.greaterThan

Creates a unary or binary filter that passes if the left operand is greater than the right operand.

Usage	Returns
ee.Filter.greaterThan(leftField, rightValue, rightField, leftValue)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.

ee.Filter.greaterThanOrEquals

Creates a unary or binary filter that passes unless the left operand is less than the right operand.

Usage	Returns
ee.Filter.greaterThanOrEquals(leftField, rightValue, rightField, leftValue)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.

ee.Filter.gt

Filter on metadata greater than the given value.

Returns the constructed filter.

Usage	Returns
ee.Filter.gt(name, value)	Filter

Argument	Type	Details
name	String	The property name to filter on.
value	Object	The value to compare against.

ee.Filter.gte

Filter on metadata greater than or equal to the given value.

Returns the constructed filter.

Usage	Returns
ee.Filter.gte(name, value)	Filter

Argument	Type	Details
name	String	The property name to filter on.
value	Object	The value to compare against.

ee.Filter.inList

Filter on metadata contained in a list.

Returns the constructed filter.

Usage	Returns
ee.Filter.inList(leftField, rightValue, rightField, leftValue)	Filter

Argument	Type	Details
leftField	String, optional	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	List, optional	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, optional	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	List, optional	The value of the left operand. Should not be specified if leftField is specified.

ee.Filter.intersects

Creates a unary or binary filter that passes if the left geometry intersects the right geometry.

Usage	Returns
ee.Filter.intersects(leftField, rightValue, rightField, leftValue, maxError)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.
maxError	ErrorMargin, optional	The maximum reprojection error allowed during filter application.

ee.Filter.isContained

Creates a unary or binary filter that passes if the right geometry contains the left geometry (empty geometries are not contained in anything).

Usage	Returns
ee.Filter.isContained(leftField, rightValue, rightField, leftValue, maxError)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.
maxError	ErrorMargin, optional	The maximum reprojection error allowed during filter application.

ee.Filter.lessThan

Creates a unary or binary filter that passes if the left operand is less than the right operand.

Usage	Returns
ee.Filter.lessThan(leftField, rightValue, rightField, leftValue)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.

ee.Filter.lessThanOrEquals

Creates a unary or binary filter that passes unless the left operand is greater than the right operand.

Usage	Returns
ee.Filter.lessThanOrEquals(leftField, rightValue, rightField, leftValue)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.

ee.Filter.listContains

Creates a unary or binary filter that passes if the left operand, a list, contains the right operand.

Usage	Returns
ee.Filter.listContains(leftField, rightValue, rightField, leftValue)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.

ee.Filter.lt

Filter to metadata less than the given value.

Returns the constructed filter.

Usage	Returns
ee.Filter.lt(name, value)	Filter

Argument	Type	Details
name	String	The property name to filter on.
value	Object	The value to compare against.

ee.Filter.lte

Filter on metadata less than or equal to the given value.

Returns the constructed filter.

Usage	Returns
ee.Filter.lte(name, value)	Filter

Argument	Type	Details
name	String	The property name to filter on.
value	Object	The value to compare against.

ee.Filter.maxDifference

Creates a unary or binary filter that passes if the left and right operands, both numbers, are within a given maximum difference. If used as a join condition, this numeric difference is used as a join measure.

Usage	Returns
ee.Filter.maxDifference(difference, leftField, rightValue, rightField, leftValue)	Filter

Argument	Type	Details
difference	Float	The maximum difference for which the filter will return true.
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.

ee.Filter.neq

Filter to metadata not equal to the given value.

Returns the constructed filter.

Usage	Returns
ee.Filter.neq(name, value)	Filter

Argument	Type	Details
name	String	The property name to filter on.
value	Object	The value to compare against.

ee.Filter.not

Returns the opposite of this filter, i.e. a filter that will match if and only if this filter doesn't.

Usage	Returns
Filter.not()	Filter

Argument	Type	Details
this: filter	Filter	The Filter instance.

ee.Filter.notEquals

Creates a unary or binary filter that passes unless the two operands are equals.

Usage	Returns
ee.Filter.notEquals(leftField, rightValue, rightField, leftValue)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.

ee.Filter.notNull

Creates a Filter.

Usage	Returns
ee.Filter.notNull(properties)	Filter

Argument	Type	Details
properties	List

ee.Filter.or

Combine two or more filters using boolean OR.

Returns the constructed filter.

Usage	Returns
ee.Filter.or(var_args)	Filter

Argument	Type	Details
var_args	VarArgs	The filters to combine.

ee.Filter.rangeContains

Returns a filter that passes if the value of the selected field is in the specified range (inclusive).

Usage	Returns
ee.Filter.rangeContains(field, minValue, maxValue)	Filter

Argument	Type	Details
field	String	A selector for the property being tested.
minValue	Object	The lower bound of the range.
maxValue	Object	The upper bound of the range.

ee.Filter.serialize

Returns the serialized representation of this object.

Usage	Returns
Filter.serialize()	String

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.

ee.Filter.stringContains

Creates a unary or binary filter that passes if the left operand, a string, contains the right operand, also a string.

Usage	Returns
ee.Filter.stringContains(leftField, rightValue, rightField, leftValue)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.

ee.Filter.stringEndsWith

Creates a unary or binary filter that passes if the left operand, a string, ends with the right operand, also a string.

Usage	Returns
ee.Filter.stringEndsWith(leftField, rightValue, rightField, leftValue)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.

ee.Filter.stringStartsWith

Creates a unary or binary filter that passes if the left operand, a string, starts with the right operand, also a string.

Usage	Returns
ee.Filter.stringStartsWith(leftField, rightValue, rightField, leftValue)	Filter

Argument	Type	Details
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.

ee.Filter.withinDistance

Creates a unary or binary filter that passes if the left geometry is within a specified distance of the right geometry. If used as a join condition, this distance is used as a join measure.

Usage	Returns
ee.Filter.withinDistance(distance, leftField, rightValue, rightField, leftValue, maxError)	Filter

Argument	Type	Details
distance	Float	The maximum distance for which the filter will return true.
leftField	String, default: null	A selector for the left operand. Should not be specified if leftValue is specified.
rightValue	Object, default: null	The value of the right operand. Should not be specified if rightField is specified.
rightField	String, default: null	A selector for the right operand. Should not be specified if rightValue is specified.
leftValue	Object, default: null	The value of the left operand. Should not be specified if leftField is specified.
maxError	ErrorMargin, optional	The maximum reprojection error allowed during filter application.

ee.Geometry

Creates a geometry.

Usage	Returns
ee.Geometry(geoJson, proj, geodesic, evenOdd)	Geometry

Argument	Type	Details
geoJson	Object	The GeoJSON object describing the geometry or a ComputedObject to be reinterpreted as a Geometry. Supports CRS specifications as per the GeoJSON spec, but only allows named (rather than "linked" CRSs). If this includes a 'geodesic' field, and opt_geodesic is not specified, it will be used as opt_geodesic.
proj	Projection, optional	An optional projection specification, either as a CRS ID code or as a WKT string. If specified, overrides any CRS found in the geoJson parameter. If unspecified and the geoJson does not declare a CRS, defaults to "EPSG:4326" (x=longitude, y=latitude).
geodesic	Boolean, optional	Whether line segments should be interpreted as spherical geodesics. If false, indicates that line segments should be interpreted as planar lines in the specified CRS. If absent, defaults to true if the CRS is geographic (including the default EPSG:4326), or to false if the CRS is projected.
evenOdd	Boolean, optional	If true, polygon interiors will be determined by the even/odd rule, where a point is inside if it crosses an odd number of edges to reach a point at infinity. Otherwise polygons use the left- inside rule, where interiors are on the left side of the shell's edges when walking the vertices in the given order. If unspecified, defaults to true.

ee.Geometry.LineString

Constructs an ee.Geometry describing a LineString.

For convenience, varargs may be used when all arguments are numbers. This allows creating geodesic EPSG:4326 LineStrings given an even number of arguments, e.g. ee.Geometry.LineString(aLng, aLat, bLng, bLat, ...).

Usage	Returns
ee.Geometry.LineString(coords, proj, geodesic, maxError)	Geometry.LineString

Argument	Type	Details
coords	List	A list of at least two points. May be a list of coordinates in the GeoJSON 'LineString' format, a list of at least two ee.Geometry describing a point, or a list of at least four numbers defining the [x,y] coordinates of at least two points.
proj	Projection, optional	The projection of this geometry. If unspecified, the default is the projection of the input ee.Geometry, or EPSG:4326 if there are no ee.Geometry inputs.
geodesic	Boolean, optional	If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth. The default is the geodesic state of the inputs, or true if the inputs are numbers.
maxError	ErrorMargin, optional	Max error when input geometry must be reprojected to an explicitly requested result projection or geodesic state.

ee.Geometry.LineString.area

Returns the area of the geometry. Area of points and line strings is 0, and the area of multi geometries is the sum of the areas of their componenets (intersecting areas are counted multiple times).

Usage	Returns
LineString.area(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The geometry input.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in square meters.

ee.Geometry.LineString.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
LineString.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Geometry.LineString.bounds

Returns the bounding rectangle of the geometry.

Usage	Returns
LineString.bounds(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Return the bounding box of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.LineString.buffer

Returns the input buffered by a given distance. If the distance is positive, the geometry is expanded, and if the distance is negative, the geometry is contracted.

Usage	Returns
LineString.buffer(distance, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry being buffered.
distance	Float	The distance of the buffering, which may be negative. If no projection is specified, the unit is meters. Otherwise the unit is in the coordinate system of the projection.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when approximating the buffering circle and performing any necessary reprojection. If unspecified, defaults to 1% of the distance.
proj	Projection, default: null	If specified, the buffering will be performed in this projection and the distance will be interpreted as units of the coordinate system of this projection. Otherwise the distance is interpereted as meters and the buffering is performed in a spherical coordinate system.

ee.Geometry.LineString.centroid

Returns a point at the center of the highest-dimension components of the geometry. Lower-dimensional components are ignored, so the centroid of a geometry containing two polygons, three lines and a point is equivalent to the centroid of a geometry containing just the two polygons.

Usage	Returns
LineString.centroid(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the centroid of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.LineString.containedIn

Returns true iff one geometry is contained in the other.

Usage	Returns
LineString.containedIn(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LineString.contains

Returns true iff one geometry contains the other.

Usage	Returns
LineString.contains(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LineString.convexHull

Returns the convex hull of the given geometry. The convex hull of a single point is the point itself, the convex hull of collinear points is a line, and the convex hull of everything else is a polygon. Note that a degenerate polygon with all vertices on the same line will result in a line segment.

Usage	Returns
LineString.convexHull(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the convex hull of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LineString.coordinates

Returns a GeoJSON-style list of the geometry's coordinates.

Usage	Returns
LineString.coordinates()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LineString.cutLines

Converts LineStrings into a MultiLineString by cutting it in two at each distance along the length of the LineString.

Usage	Returns
LineString.cutLines(distances, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Cuts the lines of this geometry.
distances	List	Distances along each LineString to cut the line into separate pieces, measured in units of the given proj, or meters if proj is unspecified.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	Projection of the result and distance measurements, or WGS84 if unspecified.

ee.Geometry.LineString.difference

Returns the result of subtracting the 'right' geometry from the 'left' geometry.

Usage	Returns
LineString.difference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LineString.disjoint

Returns true iff the geometries are disjoint.

Usage	Returns
LineString.disjoint(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LineString.dissolve

Returns the union of the geometry. This leaves single geometries untouched, and unions multi geometries.

Usage	Returns
LineString.dissolve(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to union.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the union will be performed in this projection. Otherwise it will be performed in a spherical coordinate system.

ee.Geometry.LineString.distance

Returns the minimum distance between two geometries.

Usage	Returns
LineString.distance(right, maxError, proj)	Float

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LineString.edgesAreGeodesics

Returns true if the geometry edges, if any, are geodesics along a spherical model of the earth; if false, any edges are straight lines in the projection.

Usage	Returns
LineString.edgesAreGeodesics()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LineString.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
LineString.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Geometry.LineString.geodesic

If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth.

Usage	Returns
LineString.geodesic()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LineString.geometries

Returns the list of geometries in a GeometryCollection, or a singleton list of the geometry for single geometries.

Usage	Returns
LineString.geometries()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LineString.getInfo

Retrieves the value of this object from the server.

If no callback function is provided, the request is made synchronously. If a callback is provided, the request is made asynchronously.

The asynchronous mode is preferred because the synchronous mode stops all other code (for example, the EE Code Editor UI) while waiting for the server. To make an asynchronous request, evaluate() is preferred over getInfo().

Returns the computed value of this object.

Usage	Returns
LineString.getInfo(callback)	Object

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Geometry.LineString.intersection

Returns the intersection of the two geometries.

Usage	Returns
LineString.intersection(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LineString.intersects

Returns true iff the geometries intersect.

Usage	Returns
LineString.intersects(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LineString.isUnbounded

Returns whether the geometry is unbounded.

Usage	Returns
LineString.isUnbounded()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LineString.length

Returns the length of the linear parts of the geometry. Polygonal parts are ignored. The length of multi geometries is the sum of the lengths of their components.

Usage	Returns
LineString.length(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.LineString.perimeter

Returns the length of the perimeter of the polygonal parts of the geometry. The perimeter of multi geometries is the sum of the perimeters of their components.

Usage	Returns
LineString.perimeter(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.LineString.projection

Returns the projection of the geometry.

Usage	Returns
LineString.projection()	Projection

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LineString.serialize

Returns the serialized representation of this object.

Usage	Returns
LineString.serialize()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.LineString.simplify

Simplifies the geometry to within a given error margin. Note that this does not respect the error margin requested by the consumer of this algorithm, unless maxError is explicitly specified to be null.

This overrides the default Earth Engine policy for propagating error margins, so regardless of the geometry accuracy requested from the output, the inputs will be requested with the error margin specified in the arguments to this algorithm. This results in consistent rendering at all zoom levels of a rendered vector map, but at lower zoom levels (i.e. zoomed out), the geometry won't be simplified, which may harm performance.

Usage	Returns
LineString.simplify(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to simplify.
maxError	ErrorMargin	The maximum amount of error by which the result may differ from the input.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in the same projection as the input. If the error margin is in projected units, the margin will be interpreted as units of this projection

ee.Geometry.LineString.symmetricDifference

Returns the symmetric difference between two geometries.

Usage	Returns
LineString.symmetricDifference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LineString.toGeoJSON

Returns a GeoJSON representation of the geometry.

Usage	Returns
LineString.toGeoJSON()	GeoJSONGeometry

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.LineString.toGeoJSONString

Returns a GeoJSON string representation of the geometry.

Usage	Returns
LineString.toGeoJSONString()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.LineString.transform

Transforms the geometry to a specific projection.

Usage	Returns
LineString.transform(proj, maxError)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to reproject.
proj	Projection, optional	The target projection. Defaults to WGS84. If this has a geographic CRS, the edges of the geometry will be interpreted as geodesics. Otherwise they will be interpreted as straight lines in the projection.
maxError	ErrorMargin, default: null	The maximum projection error.

ee.Geometry.LineString.type

Returns the GeoJSON type of the geometry.

Usage	Returns
LineString.type()	String

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LineString.union

Returns the union of the two geometries.

Usage	Returns
LineString.union(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LineString.withinDistance

Returns true iff the geometries are within a specified distance.

Usage	Returns
LineString.withinDistance(right, distance, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
distance	Float	The distance threshold. If a projection is specified, the distance is in units of that projected coordinate system, otherwise it is in meters.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LinearRing

Constructs an ee.Geometry describing a LinearRing. If the last point is not equal to the first, a duplicate of the first point will be added at the end.

For convenience, varargs may be used when all arguments are numbers. This allows creating geodesic EPSG:4326 LinearRings given an even number of arguments, e.g. ee.Geometry.LinearRing(aLng, aLat, bLng, bLat, ..., aLng, aLat).

Usage	Returns
ee.Geometry.LinearRing(coords, proj, geodesic, maxError)	Geometry.LinearRing

Argument	Type	Details
coords	List	A list of points in the ring. May be a list of coordinates in the GeoJSON 'LinearRing' format, a list of at least three ee.Geometry describing a point, or a list of at least six numbers defining the [x,y] coordinates of at least three points.
proj	Projection, optional	The projection of this geometry. If unspecified, the default is the projection of the input ee.Geometry, or EPSG:4326 if there are no ee.Geometry inputs.
geodesic	Boolean, optional	If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth. The default is the geodesic state of the inputs, or true if the inputs are numbers.
maxError	ErrorMargin, optional	Max error when input geometry must be reprojected to an explicitly requested result projection or geodesic state.

ee.Geometry.LinearRing.area

Returns the area of the geometry. Area of points and line strings is 0, and the area of multi geometries is the sum of the areas of their componenets (intersecting areas are counted multiple times).

Usage	Returns
LinearRing.area(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The geometry input.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in square meters.

ee.Geometry.LinearRing.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
LinearRing.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Geometry.LinearRing.bounds

Returns the bounding rectangle of the geometry.

Usage	Returns
LinearRing.bounds(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Return the bounding box of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.LinearRing.buffer

Returns the input buffered by a given distance. If the distance is positive, the geometry is expanded, and if the distance is negative, the geometry is contracted.

Usage	Returns
LinearRing.buffer(distance, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry being buffered.
distance	Float	The distance of the buffering, which may be negative. If no projection is specified, the unit is meters. Otherwise the unit is in the coordinate system of the projection.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when approximating the buffering circle and performing any necessary reprojection. If unspecified, defaults to 1% of the distance.
proj	Projection, default: null	If specified, the buffering will be performed in this projection and the distance will be interpreted as units of the coordinate system of this projection. Otherwise the distance is interpereted as meters and the buffering is performed in a spherical coordinate system.

ee.Geometry.LinearRing.centroid

Returns a point at the center of the highest-dimension components of the geometry. Lower-dimensional components are ignored, so the centroid of a geometry containing two polygons, three lines and a point is equivalent to the centroid of a geometry containing just the two polygons.

Usage	Returns
LinearRing.centroid(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the centroid of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.LinearRing.containedIn

Returns true iff one geometry is contained in the other.

Usage	Returns
LinearRing.containedIn(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LinearRing.contains

Returns true iff one geometry contains the other.

Usage	Returns
LinearRing.contains(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LinearRing.convexHull

Returns the convex hull of the given geometry. The convex hull of a single point is the point itself, the convex hull of collinear points is a line, and the convex hull of everything else is a polygon. Note that a degenerate polygon with all vertices on the same line will result in a line segment.

Usage	Returns
LinearRing.convexHull(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the convex hull of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LinearRing.coordinates

Returns a GeoJSON-style list of the geometry's coordinates.

Usage	Returns
LinearRing.coordinates()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LinearRing.cutLines

Converts LineStrings into a MultiLineString by cutting it in two at each distance along the length of the LineString.

Usage	Returns
LinearRing.cutLines(distances, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Cuts the lines of this geometry.
distances	List	Distances along each LineString to cut the line into separate pieces, measured in units of the given proj, or meters if proj is unspecified.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	Projection of the result and distance measurements, or WGS84 if unspecified.

ee.Geometry.LinearRing.difference

Returns the result of subtracting the 'right' geometry from the 'left' geometry.

Usage	Returns
LinearRing.difference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LinearRing.disjoint

Returns true iff the geometries are disjoint.

Usage	Returns
LinearRing.disjoint(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LinearRing.dissolve

Returns the union of the geometry. This leaves single geometries untouched, and unions multi geometries.

Usage	Returns
LinearRing.dissolve(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to union.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the union will be performed in this projection. Otherwise it will be performed in a spherical coordinate system.

ee.Geometry.LinearRing.distance

Returns the minimum distance between two geometries.

Usage	Returns
LinearRing.distance(right, maxError, proj)	Float

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LinearRing.edgesAreGeodesics

Returns true if the geometry edges, if any, are geodesics along a spherical model of the earth; if false, any edges are straight lines in the projection.

Usage	Returns
LinearRing.edgesAreGeodesics()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LinearRing.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
LinearRing.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Geometry.LinearRing.geodesic

If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth.

Usage	Returns
LinearRing.geodesic()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LinearRing.geometries

Returns the list of geometries in a GeometryCollection, or a singleton list of the geometry for single geometries.

Usage	Returns
LinearRing.geometries()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LinearRing.getInfo

Retrieves the value of this object from the server.

If no callback function is provided, the request is made synchronously. If a callback is provided, the request is made asynchronously.

The asynchronous mode is preferred because the synchronous mode stops all other code (for example, the EE Code Editor UI) while waiting for the server. To make an asynchronous request, evaluate() is preferred over getInfo().

Returns the computed value of this object.

Usage	Returns
LinearRing.getInfo(callback)	Object

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Geometry.LinearRing.intersection

Returns the intersection of the two geometries.

Usage	Returns
LinearRing.intersection(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LinearRing.intersects

Returns true iff the geometries intersect.

Usage	Returns
LinearRing.intersects(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LinearRing.isUnbounded

Returns whether the geometry is unbounded.

Usage	Returns
LinearRing.isUnbounded()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LinearRing.length

Returns the length of the linear parts of the geometry. Polygonal parts are ignored. The length of multi geometries is the sum of the lengths of their components.

Usage	Returns
LinearRing.length(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.LinearRing.perimeter

Returns the length of the perimeter of the polygonal parts of the geometry. The perimeter of multi geometries is the sum of the perimeters of their components.

Usage	Returns
LinearRing.perimeter(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.LinearRing.projection

Returns the projection of the geometry.

Usage	Returns
LinearRing.projection()	Projection

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LinearRing.serialize

Returns the serialized representation of this object.

Usage	Returns
LinearRing.serialize()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.LinearRing.simplify

Simplifies the geometry to within a given error margin. Note that this does not respect the error margin requested by the consumer of this algorithm, unless maxError is explicitly specified to be null.

This overrides the default Earth Engine policy for propagating error margins, so regardless of the geometry accuracy requested from the output, the inputs will be requested with the error margin specified in the arguments to this algorithm. This results in consistent rendering at all zoom levels of a rendered vector map, but at lower zoom levels (i.e. zoomed out), the geometry won't be simplified, which may harm performance.

Usage	Returns
LinearRing.simplify(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to simplify.
maxError	ErrorMargin	The maximum amount of error by which the result may differ from the input.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in the same projection as the input. If the error margin is in projected units, the margin will be interpreted as units of this projection

ee.Geometry.LinearRing.symmetricDifference

Returns the symmetric difference between two geometries.

Usage	Returns
LinearRing.symmetricDifference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LinearRing.toGeoJSON

Returns a GeoJSON representation of the geometry.

Usage	Returns
LinearRing.toGeoJSON()	GeoJSONGeometry

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.LinearRing.toGeoJSONString

Returns a GeoJSON string representation of the geometry.

Usage	Returns
LinearRing.toGeoJSONString()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.LinearRing.transform

Transforms the geometry to a specific projection.

Usage	Returns
LinearRing.transform(proj, maxError)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to reproject.
proj	Projection, optional	The target projection. Defaults to WGS84. If this has a geographic CRS, the edges of the geometry will be interpreted as geodesics. Otherwise they will be interpreted as straight lines in the projection.
maxError	ErrorMargin, default: null	The maximum projection error.

ee.Geometry.LinearRing.type

Returns the GeoJSON type of the geometry.

Usage	Returns
LinearRing.type()	String

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.LinearRing.union

Returns the union of the two geometries.

Usage	Returns
LinearRing.union(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.LinearRing.withinDistance

Returns true iff the geometries are within a specified distance.

Usage	Returns
LinearRing.withinDistance(right, distance, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
distance	Float	The distance threshold. If a projection is specified, the distance is in units of that projected coordinate system, otherwise it is in meters.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiLineString

Constructs an ee.Geometry describing a MultiLineString.

For convenience, varargs may be used when all arguments are numbers. This allows creating geodesic EPSG:4326 MultiLineStrings with a single LineString, given an even number of arguments, e.g. ee.Geometry.MultiLineString(aLng, aLat, bLng, bLat, ...).

Usage	Returns
ee.Geometry.MultiLineString(coords, proj, geodesic, maxError)	Geometry.MultiLineString

Argument	Type	Details
coords	List	A list of linestrings. May be a list of coordinates in the GeoJSON 'MultiLineString' format, a list of at least two ee.Geometry describing a LineString, or a list of number defining a single linestring.
proj	Projection, optional	The projection of this geometry. If unspecified, the default is the projection of the input ee.Geometry, or EPSG:4326 if there are no ee.Geometry inputs.
geodesic	Boolean, optional	If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth. The default is the geodesic state of the inputs, or true if the inputs are numbers.
maxError	ErrorMargin, optional	Max error when input geometry must be reprojected to an explicitly requested result projection or geodesic state.

ee.Geometry.MultiLineString.area

Returns the area of the geometry. Area of points and line strings is 0, and the area of multi geometries is the sum of the areas of their componenets (intersecting areas are counted multiple times).

Usage	Returns
MultiLineString.area(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The geometry input.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in square meters.

ee.Geometry.MultiLineString.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
MultiLineString.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Geometry.MultiLineString.bounds

Returns the bounding rectangle of the geometry.

Usage	Returns
MultiLineString.bounds(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Return the bounding box of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.MultiLineString.buffer

Returns the input buffered by a given distance. If the distance is positive, the geometry is expanded, and if the distance is negative, the geometry is contracted.

Usage	Returns
MultiLineString.buffer(distance, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry being buffered.
distance	Float	The distance of the buffering, which may be negative. If no projection is specified, the unit is meters. Otherwise the unit is in the coordinate system of the projection.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when approximating the buffering circle and performing any necessary reprojection. If unspecified, defaults to 1% of the distance.
proj	Projection, default: null	If specified, the buffering will be performed in this projection and the distance will be interpreted as units of the coordinate system of this projection. Otherwise the distance is interpereted as meters and the buffering is performed in a spherical coordinate system.

ee.Geometry.MultiLineString.centroid

Returns a point at the center of the highest-dimension components of the geometry. Lower-dimensional components are ignored, so the centroid of a geometry containing two polygons, three lines and a point is equivalent to the centroid of a geometry containing just the two polygons.

Usage	Returns
MultiLineString.centroid(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the centroid of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.MultiLineString.containedIn

Returns true iff one geometry is contained in the other.

Usage	Returns
MultiLineString.containedIn(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiLineString.contains

Returns true iff one geometry contains the other.

Usage	Returns
MultiLineString.contains(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiLineString.convexHull

Returns the convex hull of the given geometry. The convex hull of a single point is the point itself, the convex hull of collinear points is a line, and the convex hull of everything else is a polygon. Note that a degenerate polygon with all vertices on the same line will result in a line segment.

Usage	Returns
MultiLineString.convexHull(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the convex hull of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiLineString.coordinates

Returns a GeoJSON-style list of the geometry's coordinates.

Usage	Returns
MultiLineString.coordinates()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiLineString.cutLines

Converts LineStrings into a MultiLineString by cutting it in two at each distance along the length of the LineString.

Usage	Returns
MultiLineString.cutLines(distances, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Cuts the lines of this geometry.
distances	List	Distances along each LineString to cut the line into separate pieces, measured in units of the given proj, or meters if proj is unspecified.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	Projection of the result and distance measurements, or WGS84 if unspecified.

ee.Geometry.MultiLineString.difference

Returns the result of subtracting the 'right' geometry from the 'left' geometry.

Usage	Returns
MultiLineString.difference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiLineString.disjoint

Returns true iff the geometries are disjoint.

Usage	Returns
MultiLineString.disjoint(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiLineString.dissolve

Returns the union of the geometry. This leaves single geometries untouched, and unions multi geometries.

Usage	Returns
MultiLineString.dissolve(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to union.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the union will be performed in this projection. Otherwise it will be performed in a spherical coordinate system.

ee.Geometry.MultiLineString.distance

Returns the minimum distance between two geometries.

Usage	Returns
MultiLineString.distance(right, maxError, proj)	Float

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiLineString.edgesAreGeodesics

Returns true if the geometry edges, if any, are geodesics along a spherical model of the earth; if false, any edges are straight lines in the projection.

Usage	Returns
MultiLineString.edgesAreGeodesics()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiLineString.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
MultiLineString.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Geometry.MultiLineString.geodesic

If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth.

Usage	Returns
MultiLineString.geodesic()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiLineString.geometries

Returns the list of geometries in a GeometryCollection, or a singleton list of the geometry for single geometries.

Usage	Returns
MultiLineString.geometries()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiLineString.getInfo

Retrieves the value of this object from the server.

If no callback function is provided, the request is made synchronously. If a callback is provided, the request is made asynchronously.

The asynchronous mode is preferred because the synchronous mode stops all other code (for example, the EE Code Editor UI) while waiting for the server. To make an asynchronous request, evaluate() is preferred over getInfo().

Returns the computed value of this object.

Usage	Returns
MultiLineString.getInfo(callback)	Object

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Geometry.MultiLineString.intersection

Returns the intersection of the two geometries.

Usage	Returns
MultiLineString.intersection(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiLineString.intersects

Returns true iff the geometries intersect.

Usage	Returns
MultiLineString.intersects(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiLineString.isUnbounded

Returns whether the geometry is unbounded.

Usage	Returns
MultiLineString.isUnbounded()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiLineString.length

Returns the length of the linear parts of the geometry. Polygonal parts are ignored. The length of multi geometries is the sum of the lengths of their components.

Usage	Returns
MultiLineString.length(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.MultiLineString.perimeter

Returns the length of the perimeter of the polygonal parts of the geometry. The perimeter of multi geometries is the sum of the perimeters of their components.

Usage	Returns
MultiLineString.perimeter(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.MultiLineString.projection

Returns the projection of the geometry.

Usage	Returns
MultiLineString.projection()	Projection

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiLineString.serialize

Returns the serialized representation of this object.

Usage	Returns
MultiLineString.serialize()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.MultiLineString.simplify

Simplifies the geometry to within a given error margin. Note that this does not respect the error margin requested by the consumer of this algorithm, unless maxError is explicitly specified to be null.

This overrides the default Earth Engine policy for propagating error margins, so regardless of the geometry accuracy requested from the output, the inputs will be requested with the error margin specified in the arguments to this algorithm. This results in consistent rendering at all zoom levels of a rendered vector map, but at lower zoom levels (i.e. zoomed out), the geometry won't be simplified, which may harm performance.

Usage	Returns
MultiLineString.simplify(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to simplify.
maxError	ErrorMargin	The maximum amount of error by which the result may differ from the input.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in the same projection as the input. If the error margin is in projected units, the margin will be interpreted as units of this projection

ee.Geometry.MultiLineString.symmetricDifference

Returns the symmetric difference between two geometries.

Usage	Returns
MultiLineString.symmetricDifference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiLineString.toGeoJSON

Returns a GeoJSON representation of the geometry.

Usage	Returns
MultiLineString.toGeoJSON()	GeoJSONGeometry

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.MultiLineString.toGeoJSONString

Returns a GeoJSON string representation of the geometry.

Usage	Returns
MultiLineString.toGeoJSONString()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.MultiLineString.transform

Transforms the geometry to a specific projection.

Usage	Returns
MultiLineString.transform(proj, maxError)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to reproject.
proj	Projection, optional	The target projection. Defaults to WGS84. If this has a geographic CRS, the edges of the geometry will be interpreted as geodesics. Otherwise they will be interpreted as straight lines in the projection.
maxError	ErrorMargin, default: null	The maximum projection error.

ee.Geometry.MultiLineString.type

Returns the GeoJSON type of the geometry.

Usage	Returns
MultiLineString.type()	String

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiLineString.union

Returns the union of the two geometries.

Usage	Returns
MultiLineString.union(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiLineString.withinDistance

Returns true iff the geometries are within a specified distance.

Usage	Returns
MultiLineString.withinDistance(right, distance, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
distance	Float	The distance threshold. If a projection is specified, the distance is in units of that projected coordinate system, otherwise it is in meters.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPoint

Constructs an ee.Geometry describing a MultiPoint.

For convenience, varargs may be used when all arguments are numbers. This allows creating EPSG:4326 MultiPoints given an even number of arguments, e.g. ee.Geometry.MultiPoint(aLng, aLat, bLng, bLat, ...).

Usage	Returns
ee.Geometry.MultiPoint(coords, proj)	Geometry.MultiPoint

Argument	Type	Details
coords	List	A list of points, each in the GeoJSON 'coordinates' format of a Point, or a list of the x,y coordinates in the given projection, or an ee.Geometry describing a point.
proj	Projection, optional	The projection of this geometry. If unspecified, the default is the projection of the input ee.Geometry, or EPSG:4326 if there are no ee.Geometry inputs.

ee.Geometry.MultiPoint.area

Returns the area of the geometry. Area of points and line strings is 0, and the area of multi geometries is the sum of the areas of their componenets (intersecting areas are counted multiple times).

Usage	Returns
MultiPoint.area(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The geometry input.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in square meters.

ee.Geometry.MultiPoint.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
MultiPoint.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Geometry.MultiPoint.bounds

Returns the bounding rectangle of the geometry.

Usage	Returns
MultiPoint.bounds(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Return the bounding box of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.MultiPoint.buffer

Returns the input buffered by a given distance. If the distance is positive, the geometry is expanded, and if the distance is negative, the geometry is contracted.

Usage	Returns
MultiPoint.buffer(distance, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry being buffered.
distance	Float	The distance of the buffering, which may be negative. If no projection is specified, the unit is meters. Otherwise the unit is in the coordinate system of the projection.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when approximating the buffering circle and performing any necessary reprojection. If unspecified, defaults to 1% of the distance.
proj	Projection, default: null	If specified, the buffering will be performed in this projection and the distance will be interpreted as units of the coordinate system of this projection. Otherwise the distance is interpereted as meters and the buffering is performed in a spherical coordinate system.

ee.Geometry.MultiPoint.centroid

Returns a point at the center of the highest-dimension components of the geometry. Lower-dimensional components are ignored, so the centroid of a geometry containing two polygons, three lines and a point is equivalent to the centroid of a geometry containing just the two polygons.

Usage	Returns
MultiPoint.centroid(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the centroid of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.MultiPoint.containedIn

Returns true iff one geometry is contained in the other.

Usage	Returns
MultiPoint.containedIn(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPoint.contains

Returns true iff one geometry contains the other.

Usage	Returns
MultiPoint.contains(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPoint.convexHull

Returns the convex hull of the given geometry. The convex hull of a single point is the point itself, the convex hull of collinear points is a line, and the convex hull of everything else is a polygon. Note that a degenerate polygon with all vertices on the same line will result in a line segment.

Usage	Returns
MultiPoint.convexHull(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the convex hull of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPoint.coordinates

Returns a GeoJSON-style list of the geometry's coordinates.

Usage	Returns
MultiPoint.coordinates()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPoint.cutLines

Converts LineStrings into a MultiLineString by cutting it in two at each distance along the length of the LineString.

Usage	Returns
MultiPoint.cutLines(distances, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Cuts the lines of this geometry.
distances	List	Distances along each LineString to cut the line into separate pieces, measured in units of the given proj, or meters if proj is unspecified.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	Projection of the result and distance measurements, or WGS84 if unspecified.

ee.Geometry.MultiPoint.difference

Returns the result of subtracting the 'right' geometry from the 'left' geometry.

Usage	Returns
MultiPoint.difference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPoint.disjoint

Returns true iff the geometries are disjoint.

Usage	Returns
MultiPoint.disjoint(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPoint.dissolve

Returns the union of the geometry. This leaves single geometries untouched, and unions multi geometries.

Usage	Returns
MultiPoint.dissolve(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to union.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the union will be performed in this projection. Otherwise it will be performed in a spherical coordinate system.

ee.Geometry.MultiPoint.distance

Returns the minimum distance between two geometries.

Usage	Returns
MultiPoint.distance(right, maxError, proj)	Float

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPoint.edgesAreGeodesics

Returns true if the geometry edges, if any, are geodesics along a spherical model of the earth; if false, any edges are straight lines in the projection.

Usage	Returns
MultiPoint.edgesAreGeodesics()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPoint.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
MultiPoint.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Geometry.MultiPoint.geodesic

If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth.

Usage	Returns
MultiPoint.geodesic()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPoint.geometries

Returns the list of geometries in a GeometryCollection, or a singleton list of the geometry for single geometries.

Usage	Returns
MultiPoint.geometries()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPoint.getInfo

Retrieves the value of this object from the server.

If no callback function is provided, the request is made synchronously. If a callback is provided, the request is made asynchronously.

The asynchronous mode is preferred because the synchronous mode stops all other code (for example, the EE Code Editor UI) while waiting for the server. To make an asynchronous request, evaluate() is preferred over getInfo().

Returns the computed value of this object.

Usage	Returns
MultiPoint.getInfo(callback)	Object

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Geometry.MultiPoint.intersection

Returns the intersection of the two geometries.

Usage	Returns
MultiPoint.intersection(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPoint.intersects

Returns true iff the geometries intersect.

Usage	Returns
MultiPoint.intersects(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPoint.isUnbounded

Returns whether the geometry is unbounded.

Usage	Returns
MultiPoint.isUnbounded()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPoint.length

Returns the length of the linear parts of the geometry. Polygonal parts are ignored. The length of multi geometries is the sum of the lengths of their components.

Usage	Returns
MultiPoint.length(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.MultiPoint.perimeter

Returns the length of the perimeter of the polygonal parts of the geometry. The perimeter of multi geometries is the sum of the perimeters of their components.

Usage	Returns
MultiPoint.perimeter(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.MultiPoint.projection

Returns the projection of the geometry.

Usage	Returns
MultiPoint.projection()	Projection

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPoint.serialize

Returns the serialized representation of this object.

Usage	Returns
MultiPoint.serialize()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.MultiPoint.simplify

Simplifies the geometry to within a given error margin. Note that this does not respect the error margin requested by the consumer of this algorithm, unless maxError is explicitly specified to be null.

This overrides the default Earth Engine policy for propagating error margins, so regardless of the geometry accuracy requested from the output, the inputs will be requested with the error margin specified in the arguments to this algorithm. This results in consistent rendering at all zoom levels of a rendered vector map, but at lower zoom levels (i.e. zoomed out), the geometry won't be simplified, which may harm performance.

Usage	Returns
MultiPoint.simplify(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to simplify.
maxError	ErrorMargin	The maximum amount of error by which the result may differ from the input.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in the same projection as the input. If the error margin is in projected units, the margin will be interpreted as units of this projection

ee.Geometry.MultiPoint.symmetricDifference

Returns the symmetric difference between two geometries.

Usage	Returns
MultiPoint.symmetricDifference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPoint.toGeoJSON

Returns a GeoJSON representation of the geometry.

Usage	Returns
MultiPoint.toGeoJSON()	GeoJSONGeometry

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.MultiPoint.toGeoJSONString

Returns a GeoJSON string representation of the geometry.

Usage	Returns
MultiPoint.toGeoJSONString()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.MultiPoint.transform

Transforms the geometry to a specific projection.

Usage	Returns
MultiPoint.transform(proj, maxError)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to reproject.
proj	Projection, optional	The target projection. Defaults to WGS84. If this has a geographic CRS, the edges of the geometry will be interpreted as geodesics. Otherwise they will be interpreted as straight lines in the projection.
maxError	ErrorMargin, default: null	The maximum projection error.

ee.Geometry.MultiPoint.type

Returns the GeoJSON type of the geometry.

Usage	Returns
MultiPoint.type()	String

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPoint.union

Returns the union of the two geometries.

Usage	Returns
MultiPoint.union(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPoint.withinDistance

Returns true iff the geometries are within a specified distance.

Usage	Returns
MultiPoint.withinDistance(right, distance, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
distance	Float	The distance threshold. If a projection is specified, the distance is in units of that projected coordinate system, otherwise it is in meters.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPolygon

Constructs an ee.Geometry describing a MultiPolygon.

For convenience, varargs may be used when all arguments are numbers. This allows creating geodesic EPSG:4326 MultiPolygons with a single Polygon with a single LinearRing given an even number of arguments, e.g. ee.Geometry.MultiPolygon(aLng, aLat, bLng, bLat, ..., aLng, aLat).

Usage	Returns
ee.Geometry.MultiPolygon(coords, proj, geodesic, maxError, evenOdd)	Geometry.MultiPolygon

Argument	Type	Details
coords	List	A list of polygons. May be a list of coordinates in the GeoJSON 'MultiPolygon' format, a list of ee.Geometry describing a Polygon, or a list of number defining a single polygon boundary.
proj	Projection, optional	The projection of this geometry. The default is the projection of the inputs, where Numbers are assumed to be EPSG:4326.
geodesic	Boolean, optional	If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth. The default is the geodesic state of the inputs, or true if the inputs are numbers.
maxError	ErrorMargin, optional	Max error when input geometry must be reprojected to an explicitly requested result projection or geodesic state.
evenOdd	Boolean, optional	If true, polygon interiors will be determined by the even/odd rule, where a point is inside if it crosses an odd number of edges to reach a point at infinity. Otherwise polygons use the left- inside rule, where interiors are on the left side of the shell's edges when walking the vertices in the given order. If unspecified, defaults to true.

ee.Geometry.MultiPolygon.area

Returns the area of the geometry. Area of points and line strings is 0, and the area of multi geometries is the sum of the areas of their componenets (intersecting areas are counted multiple times).

Usage	Returns
MultiPolygon.area(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The geometry input.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in square meters.

ee.Geometry.MultiPolygon.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
MultiPolygon.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Geometry.MultiPolygon.bounds

Returns the bounding rectangle of the geometry.

Usage	Returns
MultiPolygon.bounds(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Return the bounding box of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.MultiPolygon.buffer

Returns the input buffered by a given distance. If the distance is positive, the geometry is expanded, and if the distance is negative, the geometry is contracted.

Usage	Returns
MultiPolygon.buffer(distance, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry being buffered.
distance	Float	The distance of the buffering, which may be negative. If no projection is specified, the unit is meters. Otherwise the unit is in the coordinate system of the projection.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when approximating the buffering circle and performing any necessary reprojection. If unspecified, defaults to 1% of the distance.
proj	Projection, default: null	If specified, the buffering will be performed in this projection and the distance will be interpreted as units of the coordinate system of this projection. Otherwise the distance is interpereted as meters and the buffering is performed in a spherical coordinate system.

ee.Geometry.MultiPolygon.centroid

Returns a point at the center of the highest-dimension components of the geometry. Lower-dimensional components are ignored, so the centroid of a geometry containing two polygons, three lines and a point is equivalent to the centroid of a geometry containing just the two polygons.

Usage	Returns
MultiPolygon.centroid(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the centroid of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.MultiPolygon.containedIn

Returns true iff one geometry is contained in the other.

Usage	Returns
MultiPolygon.containedIn(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPolygon.contains

Returns true iff one geometry contains the other.

Usage	Returns
MultiPolygon.contains(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPolygon.convexHull

Returns the convex hull of the given geometry. The convex hull of a single point is the point itself, the convex hull of collinear points is a line, and the convex hull of everything else is a polygon. Note that a degenerate polygon with all vertices on the same line will result in a line segment.

Usage	Returns
MultiPolygon.convexHull(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the convex hull of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPolygon.coordinates

Returns a GeoJSON-style list of the geometry's coordinates.

Usage	Returns
MultiPolygon.coordinates()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPolygon.cutLines

Converts LineStrings into a MultiLineString by cutting it in two at each distance along the length of the LineString.

Usage	Returns
MultiPolygon.cutLines(distances, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Cuts the lines of this geometry.
distances	List	Distances along each LineString to cut the line into separate pieces, measured in units of the given proj, or meters if proj is unspecified.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	Projection of the result and distance measurements, or WGS84 if unspecified.

ee.Geometry.MultiPolygon.difference

Returns the result of subtracting the 'right' geometry from the 'left' geometry.

Usage	Returns
MultiPolygon.difference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPolygon.disjoint

Returns true iff the geometries are disjoint.

Usage	Returns
MultiPolygon.disjoint(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPolygon.dissolve

Returns the union of the geometry. This leaves single geometries untouched, and unions multi geometries.

Usage	Returns
MultiPolygon.dissolve(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to union.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the union will be performed in this projection. Otherwise it will be performed in a spherical coordinate system.

ee.Geometry.MultiPolygon.distance

Returns the minimum distance between two geometries.

Usage	Returns
MultiPolygon.distance(right, maxError, proj)	Float

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPolygon.edgesAreGeodesics

Returns true if the geometry edges, if any, are geodesics along a spherical model of the earth; if false, any edges are straight lines in the projection.

Usage	Returns
MultiPolygon.edgesAreGeodesics()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPolygon.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
MultiPolygon.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Geometry.MultiPolygon.geodesic

If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth.

Usage	Returns
MultiPolygon.geodesic()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPolygon.geometries

Returns the list of geometries in a GeometryCollection, or a singleton list of the geometry for single geometries.

Usage	Returns
MultiPolygon.geometries()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPolygon.getInfo

Retrieves the value of this object from the server.

If no callback function is provided, the request is made synchronously. If a callback is provided, the request is made asynchronously.

The asynchronous mode is preferred because the synchronous mode stops all other code (for example, the EE Code Editor UI) while waiting for the server. To make an asynchronous request, evaluate() is preferred over getInfo().

Returns the computed value of this object.

Usage	Returns
MultiPolygon.getInfo(callback)	Object

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Geometry.MultiPolygon.intersection

Returns the intersection of the two geometries.

Usage	Returns
MultiPolygon.intersection(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPolygon.intersects

Returns true iff the geometries intersect.

Usage	Returns
MultiPolygon.intersects(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPolygon.isUnbounded

Returns whether the geometry is unbounded.

Usage	Returns
MultiPolygon.isUnbounded()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPolygon.length

Returns the length of the linear parts of the geometry. Polygonal parts are ignored. The length of multi geometries is the sum of the lengths of their components.

Usage	Returns
MultiPolygon.length(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.MultiPolygon.perimeter

Returns the length of the perimeter of the polygonal parts of the geometry. The perimeter of multi geometries is the sum of the perimeters of their components.

Usage	Returns
MultiPolygon.perimeter(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.MultiPolygon.projection

Returns the projection of the geometry.

Usage	Returns
MultiPolygon.projection()	Projection

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPolygon.serialize

Returns the serialized representation of this object.

Usage	Returns
MultiPolygon.serialize()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.MultiPolygon.simplify

Simplifies the geometry to within a given error margin. Note that this does not respect the error margin requested by the consumer of this algorithm, unless maxError is explicitly specified to be null.

This overrides the default Earth Engine policy for propagating error margins, so regardless of the geometry accuracy requested from the output, the inputs will be requested with the error margin specified in the arguments to this algorithm. This results in consistent rendering at all zoom levels of a rendered vector map, but at lower zoom levels (i.e. zoomed out), the geometry won't be simplified, which may harm performance.

Usage	Returns
MultiPolygon.simplify(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to simplify.
maxError	ErrorMargin	The maximum amount of error by which the result may differ from the input.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in the same projection as the input. If the error margin is in projected units, the margin will be interpreted as units of this projection

ee.Geometry.MultiPolygon.symmetricDifference

Returns the symmetric difference between two geometries.

Usage	Returns
MultiPolygon.symmetricDifference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPolygon.toGeoJSON

Returns a GeoJSON representation of the geometry.

Usage	Returns
MultiPolygon.toGeoJSON()	GeoJSONGeometry

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.MultiPolygon.toGeoJSONString

Returns a GeoJSON string representation of the geometry.

Usage	Returns
MultiPolygon.toGeoJSONString()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.MultiPolygon.transform

Transforms the geometry to a specific projection.

Usage	Returns
MultiPolygon.transform(proj, maxError)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to reproject.
proj	Projection, optional	The target projection. Defaults to WGS84. If this has a geographic CRS, the edges of the geometry will be interpreted as geodesics. Otherwise they will be interpreted as straight lines in the projection.
maxError	ErrorMargin, default: null	The maximum projection error.

ee.Geometry.MultiPolygon.type

Returns the GeoJSON type of the geometry.

Usage	Returns
MultiPolygon.type()	String

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.MultiPolygon.union

Returns the union of the two geometries.

Usage	Returns
MultiPolygon.union(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.MultiPolygon.withinDistance

Returns true iff the geometries are within a specified distance.

Usage	Returns
MultiPolygon.withinDistance(right, distance, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
distance	Float	The distance threshold. If a projection is specified, the distance is in units of that projected coordinate system, otherwise it is in meters.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Point

Constructs an ee.Geometry describing a point.

For convenience, varargs may be used when all arguments are numbers. This allows creating EPSG:4326 points, e.g. ee.Geometry.Point(lng, lat).

Usage	Returns
ee.Geometry.Point(coords, proj)	Geometry.Point

Argument	Type	Details
coords	List	A list of two [x,y] coordinates in the given projection.
proj	Projection, optional	The projection of this geometry, or EPSG:4326 if unspecified.

ee.Geometry.Point.area

Returns the area of the geometry. Area of points and line strings is 0, and the area of multi geometries is the sum of the areas of their componenets (intersecting areas are counted multiple times).

Usage	Returns
Point.area(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The geometry input.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in square meters.

ee.Geometry.Point.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
Point.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Geometry.Point.bounds

Returns the bounding rectangle of the geometry.

Usage	Returns
Point.bounds(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Return the bounding box of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.Point.buffer

Returns the input buffered by a given distance. If the distance is positive, the geometry is expanded, and if the distance is negative, the geometry is contracted.

Usage	Returns
Point.buffer(distance, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry being buffered.
distance	Float	The distance of the buffering, which may be negative. If no projection is specified, the unit is meters. Otherwise the unit is in the coordinate system of the projection.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when approximating the buffering circle and performing any necessary reprojection. If unspecified, defaults to 1% of the distance.
proj	Projection, default: null	If specified, the buffering will be performed in this projection and the distance will be interpreted as units of the coordinate system of this projection. Otherwise the distance is interpereted as meters and the buffering is performed in a spherical coordinate system.

ee.Geometry.Point.centroid

Returns a point at the center of the highest-dimension components of the geometry. Lower-dimensional components are ignored, so the centroid of a geometry containing two polygons, three lines and a point is equivalent to the centroid of a geometry containing just the two polygons.

Usage	Returns
Point.centroid(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the centroid of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.Point.containedIn

Returns true iff one geometry is contained in the other.

Usage	Returns
Point.containedIn(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Point.contains

Returns true iff one geometry contains the other.

Usage	Returns
Point.contains(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Point.convexHull

Returns the convex hull of the given geometry. The convex hull of a single point is the point itself, the convex hull of collinear points is a line, and the convex hull of everything else is a polygon. Note that a degenerate polygon with all vertices on the same line will result in a line segment.

Usage	Returns
Point.convexHull(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the convex hull of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Point.coordinates

Returns a GeoJSON-style list of the geometry's coordinates.

Usage	Returns
Point.coordinates()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Point.cutLines

Converts LineStrings into a MultiLineString by cutting it in two at each distance along the length of the LineString.

Usage	Returns
Point.cutLines(distances, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Cuts the lines of this geometry.
distances	List	Distances along each LineString to cut the line into separate pieces, measured in units of the given proj, or meters if proj is unspecified.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	Projection of the result and distance measurements, or WGS84 if unspecified.

ee.Geometry.Point.difference

Returns the result of subtracting the 'right' geometry from the 'left' geometry.

Usage	Returns
Point.difference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Point.disjoint

Returns true iff the geometries are disjoint.

Usage	Returns
Point.disjoint(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Point.dissolve

Returns the union of the geometry. This leaves single geometries untouched, and unions multi geometries.

Usage	Returns
Point.dissolve(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to union.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the union will be performed in this projection. Otherwise it will be performed in a spherical coordinate system.

ee.Geometry.Point.distance

Returns the minimum distance between two geometries.

Usage	Returns
Point.distance(right, maxError, proj)	Float

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Point.edgesAreGeodesics

Returns true if the geometry edges, if any, are geodesics along a spherical model of the earth; if false, any edges are straight lines in the projection.

Usage	Returns
Point.edgesAreGeodesics()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Point.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
Point.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Geometry.Point.geodesic

If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth.

Usage	Returns
Point.geodesic()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Point.geometries

Returns the list of geometries in a GeometryCollection, or a singleton list of the geometry for single geometries.

Usage	Returns
Point.geometries()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Point.getInfo

Retrieves the value of this object from the server.

If no callback function is provided, the request is made synchronously. If a callback is provided, the request is made asynchronously.

The asynchronous mode is preferred because the synchronous mode stops all other code (for example, the EE Code Editor UI) while waiting for the server. To make an asynchronous request, evaluate() is preferred over getInfo().

Returns the computed value of this object.

Usage	Returns
Point.getInfo(callback)	Object

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Geometry.Point.intersection

Returns the intersection of the two geometries.

Usage	Returns
Point.intersection(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Point.intersects

Returns true iff the geometries intersect.

Usage	Returns
Point.intersects(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Point.isUnbounded

Returns whether the geometry is unbounded.

Usage	Returns
Point.isUnbounded()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Point.length

Returns the length of the linear parts of the geometry. Polygonal parts are ignored. The length of multi geometries is the sum of the lengths of their components.

Usage	Returns
Point.length(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.Point.perimeter

Returns the length of the perimeter of the polygonal parts of the geometry. The perimeter of multi geometries is the sum of the perimeters of their components.

Usage	Returns
Point.perimeter(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.Point.projection

Returns the projection of the geometry.

Usage	Returns
Point.projection()	Projection

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Point.serialize

Returns the serialized representation of this object.

Usage	Returns
Point.serialize()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.Point.simplify

Simplifies the geometry to within a given error margin. Note that this does not respect the error margin requested by the consumer of this algorithm, unless maxError is explicitly specified to be null.

This overrides the default Earth Engine policy for propagating error margins, so regardless of the geometry accuracy requested from the output, the inputs will be requested with the error margin specified in the arguments to this algorithm. This results in consistent rendering at all zoom levels of a rendered vector map, but at lower zoom levels (i.e. zoomed out), the geometry won't be simplified, which may harm performance.

Usage	Returns
Point.simplify(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to simplify.
maxError	ErrorMargin	The maximum amount of error by which the result may differ from the input.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in the same projection as the input. If the error margin is in projected units, the margin will be interpreted as units of this projection

ee.Geometry.Point.symmetricDifference

Returns the symmetric difference between two geometries.

Usage	Returns
Point.symmetricDifference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Point.toGeoJSON

Returns a GeoJSON representation of the geometry.

Usage	Returns
Point.toGeoJSON()	GeoJSONGeometry

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.Point.toGeoJSONString

Returns a GeoJSON string representation of the geometry.

Usage	Returns
Point.toGeoJSONString()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.Point.transform

Transforms the geometry to a specific projection.

Usage	Returns
Point.transform(proj, maxError)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to reproject.
proj	Projection, optional	The target projection. Defaults to WGS84. If this has a geographic CRS, the edges of the geometry will be interpreted as geodesics. Otherwise they will be interpreted as straight lines in the projection.
maxError	ErrorMargin, default: null	The maximum projection error.

ee.Geometry.Point.type

Returns the GeoJSON type of the geometry.

Usage	Returns
Point.type()	String

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Point.union

Returns the union of the two geometries.

Usage	Returns
Point.union(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Point.withinDistance

Returns true iff the geometries are within a specified distance.

Usage	Returns
Point.withinDistance(right, distance, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
distance	Float	The distance threshold. If a projection is specified, the distance is in units of that projected coordinate system, otherwise it is in meters.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Polygon

Constructs an ee.Geometry describing a polygon.

For convenience, varargs may be used when all arguments are numbers. This allows creating geodesic EPSG:4326 Polygons with a single LinearRing given an even number of arguments, e.g. ee.Geometry.Polygon(aLng, aLat, bLng, bLat, ..., aLng, aLat).

Usage	Returns
ee.Geometry.Polygon(coords, proj, geodesic, maxError, evenOdd)	Geometry.Polygon

Argument	Type	Details
coords	List	A list of rings defining the boundaries of the polygon. May be a list of coordinates in the GeoJSON 'Polygon' format, a list of ee.Geometry describing a LinearRing, or a list of number defining a single polygon boundary.
proj	Projection, optional	The projection of this geometry. The default is the projection of the inputs, where Numbers are assumed to be EPSG:4326.
geodesic	Boolean, optional	If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth. The default is the geodesic state of the inputs, or true if the inputs are numbers.
maxError	ErrorMargin, optional	Max error when input geometry must be reprojected to an explicitly requested result projection or geodesic state.
evenOdd	Boolean, optional	If true, polygon interiors will be determined by the even/odd rule, where a point is inside if it crosses an odd number of edges to reach a point at infinity. Otherwise polygons use the left- inside rule, where interiors are on the left side of the shell's edges when walking the vertices in the given order. If unspecified, defaults to true.

ee.Geometry.Polygon.area

Returns the area of the geometry. Area of points and line strings is 0, and the area of multi geometries is the sum of the areas of their componenets (intersecting areas are counted multiple times).

Usage	Returns
Polygon.area(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The geometry input.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in square meters.

ee.Geometry.Polygon.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
Polygon.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Geometry.Polygon.bounds

Returns the bounding rectangle of the geometry.

Usage	Returns
Polygon.bounds(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Return the bounding box of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.Polygon.buffer

Returns the input buffered by a given distance. If the distance is positive, the geometry is expanded, and if the distance is negative, the geometry is contracted.

Usage	Returns
Polygon.buffer(distance, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry being buffered.
distance	Float	The distance of the buffering, which may be negative. If no projection is specified, the unit is meters. Otherwise the unit is in the coordinate system of the projection.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when approximating the buffering circle and performing any necessary reprojection. If unspecified, defaults to 1% of the distance.
proj	Projection, default: null	If specified, the buffering will be performed in this projection and the distance will be interpreted as units of the coordinate system of this projection. Otherwise the distance is interpereted as meters and the buffering is performed in a spherical coordinate system.

ee.Geometry.Polygon.centroid

Returns a point at the center of the highest-dimension components of the geometry. Lower-dimensional components are ignored, so the centroid of a geometry containing two polygons, three lines and a point is equivalent to the centroid of a geometry containing just the two polygons.

Usage	Returns
Polygon.centroid(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the centroid of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.Polygon.containedIn

Returns true iff one geometry is contained in the other.

Usage	Returns
Polygon.containedIn(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Polygon.contains

Returns true iff one geometry contains the other.

Usage	Returns
Polygon.contains(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Polygon.convexHull

Returns the convex hull of the given geometry. The convex hull of a single point is the point itself, the convex hull of collinear points is a line, and the convex hull of everything else is a polygon. Note that a degenerate polygon with all vertices on the same line will result in a line segment.

Usage	Returns
Polygon.convexHull(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the convex hull of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Polygon.coordinates

Returns a GeoJSON-style list of the geometry's coordinates.

Usage	Returns
Polygon.coordinates()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Polygon.cutLines

Converts LineStrings into a MultiLineString by cutting it in two at each distance along the length of the LineString.

Usage	Returns
Polygon.cutLines(distances, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Cuts the lines of this geometry.
distances	List	Distances along each LineString to cut the line into separate pieces, measured in units of the given proj, or meters if proj is unspecified.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	Projection of the result and distance measurements, or WGS84 if unspecified.

ee.Geometry.Polygon.difference

Returns the result of subtracting the 'right' geometry from the 'left' geometry.

Usage	Returns
Polygon.difference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Polygon.disjoint

Returns true iff the geometries are disjoint.

Usage	Returns
Polygon.disjoint(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Polygon.dissolve

Returns the union of the geometry. This leaves single geometries untouched, and unions multi geometries.

Usage	Returns
Polygon.dissolve(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to union.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the union will be performed in this projection. Otherwise it will be performed in a spherical coordinate system.

ee.Geometry.Polygon.distance

Returns the minimum distance between two geometries.

Usage	Returns
Polygon.distance(right, maxError, proj)	Float

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Polygon.edgesAreGeodesics

Returns true if the geometry edges, if any, are geodesics along a spherical model of the earth; if false, any edges are straight lines in the projection.

Usage	Returns
Polygon.edgesAreGeodesics()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Polygon.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
Polygon.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Geometry.Polygon.geodesic

If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth.

Usage	Returns
Polygon.geodesic()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Polygon.geometries

Returns the list of geometries in a GeometryCollection, or a singleton list of the geometry for single geometries.

Usage	Returns
Polygon.geometries()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Polygon.getInfo

Retrieves the value of this object from the server.

If no callback function is provided, the request is made synchronously. If a callback is provided, the request is made asynchronously.

The asynchronous mode is preferred because the synchronous mode stops all other code (for example, the EE Code Editor UI) while waiting for the server. To make an asynchronous request, evaluate() is preferred over getInfo().

Returns the computed value of this object.

Usage	Returns
Polygon.getInfo(callback)	Object

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Geometry.Polygon.intersection

Returns the intersection of the two geometries.

Usage	Returns
Polygon.intersection(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Polygon.intersects

Returns true iff the geometries intersect.

Usage	Returns
Polygon.intersects(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Polygon.isUnbounded

Returns whether the geometry is unbounded.

Usage	Returns
Polygon.isUnbounded()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Polygon.length

Returns the length of the linear parts of the geometry. Polygonal parts are ignored. The length of multi geometries is the sum of the lengths of their components.

Usage	Returns
Polygon.length(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.Polygon.perimeter

Returns the length of the perimeter of the polygonal parts of the geometry. The perimeter of multi geometries is the sum of the perimeters of their components.

Usage	Returns
Polygon.perimeter(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.Polygon.projection

Returns the projection of the geometry.

Usage	Returns
Polygon.projection()	Projection

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Polygon.serialize

Returns the serialized representation of this object.

Usage	Returns
Polygon.serialize()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.Polygon.simplify

Simplifies the geometry to within a given error margin. Note that this does not respect the error margin requested by the consumer of this algorithm, unless maxError is explicitly specified to be null.

This overrides the default Earth Engine policy for propagating error margins, so regardless of the geometry accuracy requested from the output, the inputs will be requested with the error margin specified in the arguments to this algorithm. This results in consistent rendering at all zoom levels of a rendered vector map, but at lower zoom levels (i.e. zoomed out), the geometry won't be simplified, which may harm performance.

Usage	Returns
Polygon.simplify(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to simplify.
maxError	ErrorMargin	The maximum amount of error by which the result may differ from the input.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in the same projection as the input. If the error margin is in projected units, the margin will be interpreted as units of this projection

ee.Geometry.Polygon.symmetricDifference

Returns the symmetric difference between two geometries.

Usage	Returns
Polygon.symmetricDifference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Polygon.toGeoJSON

Returns a GeoJSON representation of the geometry.

Usage	Returns
Polygon.toGeoJSON()	GeoJSONGeometry

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.Polygon.toGeoJSONString

Returns a GeoJSON string representation of the geometry.

Usage	Returns
Polygon.toGeoJSONString()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.Polygon.transform

Transforms the geometry to a specific projection.

Usage	Returns
Polygon.transform(proj, maxError)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to reproject.
proj	Projection, optional	The target projection. Defaults to WGS84. If this has a geographic CRS, the edges of the geometry will be interpreted as geodesics. Otherwise they will be interpreted as straight lines in the projection.
maxError	ErrorMargin, default: null	The maximum projection error.

ee.Geometry.Polygon.type

Returns the GeoJSON type of the geometry.

Usage	Returns
Polygon.type()	String

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Polygon.union

Returns the union of the two geometries.

Usage	Returns
Polygon.union(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Polygon.withinDistance

Returns true iff the geometries are within a specified distance.

Usage	Returns
Polygon.withinDistance(right, distance, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
distance	Float	The distance threshold. If a projection is specified, the distance is in units of that projected coordinate system, otherwise it is in meters.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Rectangle

Constructs an ee.Geometry describing a rectangular polygon.

For convenience, varargs may be used when all arguments are numbers. This allows creating EPSG:4326 Polygons given exactly four coordinates, e.g. ee.Geometry.Rectangle(minLng, minLat, maxLng, maxLat).

Usage	Returns
ee.Geometry.Rectangle(coords, proj, geodesic, evenOdd)	Geometry.Rectangle

Argument	Type	Details
coords	List	The minimum and maximum corners of the rectangle, as a list of two points each in the format of GeoJSON 'Point' coordinates, or a list of two ee.Geometry describing a point, or a list of four numbers in the order xMin, yMin, xMax, yMax.
proj	Projection, optional	The projection of this geometry. If unspecified, the default is the projection of the input ee.Geometry, or EPSG:4326 if there are no ee.Geometry inputs.
geodesic	Boolean, optional	If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth. The default is the geodesic state of the inputs, or true if the inputs are numbers.
evenOdd	Boolean, optional	If true, polygon interiors will be determined by the even/odd rule, where a point is inside if it crosses an odd number of edges to reach a point at infinity. Otherwise polygons use the left- inside rule, where interiors are on the left side of the shell's edges when walking the vertices in the given order. If unspecified, defaults to true.

ee.Geometry.Rectangle.area

Returns the area of the geometry. Area of points and line strings is 0, and the area of multi geometries is the sum of the areas of their componenets (intersecting areas are counted multiple times).

Usage	Returns
Rectangle.area(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The geometry input.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in square meters.

ee.Geometry.Rectangle.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
Rectangle.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Geometry.Rectangle.bounds

Returns the bounding rectangle of the geometry.

Usage	Returns
Rectangle.bounds(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Return the bounding box of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.Rectangle.buffer

Returns the input buffered by a given distance. If the distance is positive, the geometry is expanded, and if the distance is negative, the geometry is contracted.

Usage	Returns
Rectangle.buffer(distance, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry being buffered.
distance	Float	The distance of the buffering, which may be negative. If no projection is specified, the unit is meters. Otherwise the unit is in the coordinate system of the projection.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when approximating the buffering circle and performing any necessary reprojection. If unspecified, defaults to 1% of the distance.
proj	Projection, default: null	If specified, the buffering will be performed in this projection and the distance will be interpreted as units of the coordinate system of this projection. Otherwise the distance is interpereted as meters and the buffering is performed in a spherical coordinate system.

ee.Geometry.Rectangle.centroid

Returns a point at the center of the highest-dimension components of the geometry. Lower-dimensional components are ignored, so the centroid of a geometry containing two polygons, three lines and a point is equivalent to the centroid of a geometry containing just the two polygons.

Usage	Returns
Rectangle.centroid(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the centroid of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.Rectangle.containedIn

Returns true iff one geometry is contained in the other.

Usage	Returns
Rectangle.containedIn(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Rectangle.contains

Returns true iff one geometry contains the other.

Usage	Returns
Rectangle.contains(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Rectangle.convexHull

Returns the convex hull of the given geometry. The convex hull of a single point is the point itself, the convex hull of collinear points is a line, and the convex hull of everything else is a polygon. Note that a degenerate polygon with all vertices on the same line will result in a line segment.

Usage	Returns
Rectangle.convexHull(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the convex hull of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Rectangle.coordinates

Returns a GeoJSON-style list of the geometry's coordinates.

Usage	Returns
Rectangle.coordinates()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Rectangle.cutLines

Converts LineStrings into a MultiLineString by cutting it in two at each distance along the length of the LineString.

Usage	Returns
Rectangle.cutLines(distances, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Cuts the lines of this geometry.
distances	List	Distances along each LineString to cut the line into separate pieces, measured in units of the given proj, or meters if proj is unspecified.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	Projection of the result and distance measurements, or WGS84 if unspecified.

ee.Geometry.Rectangle.difference

Returns the result of subtracting the 'right' geometry from the 'left' geometry.

Usage	Returns
Rectangle.difference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Rectangle.disjoint

Returns true iff the geometries are disjoint.

Usage	Returns
Rectangle.disjoint(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Rectangle.dissolve

Returns the union of the geometry. This leaves single geometries untouched, and unions multi geometries.

Usage	Returns
Rectangle.dissolve(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to union.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the union will be performed in this projection. Otherwise it will be performed in a spherical coordinate system.

ee.Geometry.Rectangle.distance

Returns the minimum distance between two geometries.

Usage	Returns
Rectangle.distance(right, maxError, proj)	Float

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Rectangle.edgesAreGeodesics

Returns true if the geometry edges, if any, are geodesics along a spherical model of the earth; if false, any edges are straight lines in the projection.

Usage	Returns
Rectangle.edgesAreGeodesics()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Rectangle.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
Rectangle.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Geometry.Rectangle.geodesic

If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth.

Usage	Returns
Rectangle.geodesic()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Rectangle.geometries

Returns the list of geometries in a GeometryCollection, or a singleton list of the geometry for single geometries.

Usage	Returns
Rectangle.geometries()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Rectangle.getInfo

Retrieves the value of this object from the server.

If no callback function is provided, the request is made synchronously. If a callback is provided, the request is made asynchronously.

The asynchronous mode is preferred because the synchronous mode stops all other code (for example, the EE Code Editor UI) while waiting for the server. To make an asynchronous request, evaluate() is preferred over getInfo().

Returns the computed value of this object.

Usage	Returns
Rectangle.getInfo(callback)	Object

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Geometry.Rectangle.intersection

Returns the intersection of the two geometries.

Usage	Returns
Rectangle.intersection(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Rectangle.intersects

Returns true iff the geometries intersect.

Usage	Returns
Rectangle.intersects(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Rectangle.isUnbounded

Returns whether the geometry is unbounded.

Usage	Returns
Rectangle.isUnbounded()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Rectangle.length

Returns the length of the linear parts of the geometry. Polygonal parts are ignored. The length of multi geometries is the sum of the lengths of their components.

Usage	Returns
Rectangle.length(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.Rectangle.perimeter

Returns the length of the perimeter of the polygonal parts of the geometry. The perimeter of multi geometries is the sum of the perimeters of their components.

Usage	Returns
Rectangle.perimeter(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.Rectangle.projection

Returns the projection of the geometry.

Usage	Returns
Rectangle.projection()	Projection

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Rectangle.serialize

Returns the serialized representation of this object.

Usage	Returns
Rectangle.serialize()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.Rectangle.simplify

Simplifies the geometry to within a given error margin. Note that this does not respect the error margin requested by the consumer of this algorithm, unless maxError is explicitly specified to be null.

This overrides the default Earth Engine policy for propagating error margins, so regardless of the geometry accuracy requested from the output, the inputs will be requested with the error margin specified in the arguments to this algorithm. This results in consistent rendering at all zoom levels of a rendered vector map, but at lower zoom levels (i.e. zoomed out), the geometry won't be simplified, which may harm performance.

Usage	Returns
Rectangle.simplify(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to simplify.
maxError	ErrorMargin	The maximum amount of error by which the result may differ from the input.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in the same projection as the input. If the error margin is in projected units, the margin will be interpreted as units of this projection

ee.Geometry.Rectangle.symmetricDifference

Returns the symmetric difference between two geometries.

Usage	Returns
Rectangle.symmetricDifference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Rectangle.toGeoJSON

Returns a GeoJSON representation of the geometry.

Usage	Returns
Rectangle.toGeoJSON()	GeoJSONGeometry

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.Rectangle.toGeoJSONString

Returns a GeoJSON string representation of the geometry.

Usage	Returns
Rectangle.toGeoJSONString()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.Rectangle.transform

Transforms the geometry to a specific projection.

Usage	Returns
Rectangle.transform(proj, maxError)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to reproject.
proj	Projection, optional	The target projection. Defaults to WGS84. If this has a geographic CRS, the edges of the geometry will be interpreted as geodesics. Otherwise they will be interpreted as straight lines in the projection.
maxError	ErrorMargin, default: null	The maximum projection error.

ee.Geometry.Rectangle.type

Returns the GeoJSON type of the geometry.

Usage	Returns
Rectangle.type()	String

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.Rectangle.union

Returns the union of the two geometries.

Usage	Returns
Rectangle.union(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.Rectangle.withinDistance

Returns true iff the geometries are within a specified distance.

Usage	Returns
Rectangle.withinDistance(right, distance, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
distance	Float	The distance threshold. If a projection is specified, the distance is in units of that projected coordinate system, otherwise it is in meters.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.area

Returns the area of the geometry. Area of points and line strings is 0, and the area of multi geometries is the sum of the areas of their componenets (intersecting areas are counted multiple times).

Usage	Returns
Geometry.area(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The geometry input.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in square meters.

ee.Geometry.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
Geometry.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Geometry.bounds

Returns the bounding rectangle of the geometry.

Usage	Returns
Geometry.bounds(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Return the bounding box of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.buffer

Returns the input buffered by a given distance. If the distance is positive, the geometry is expanded, and if the distance is negative, the geometry is contracted.

Usage	Returns
Geometry.buffer(distance, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry being buffered.
distance	Float	The distance of the buffering, which may be negative. If no projection is specified, the unit is meters. Otherwise the unit is in the coordinate system of the projection.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when approximating the buffering circle and performing any necessary reprojection. If unspecified, defaults to 1% of the distance.
proj	Projection, default: null	If specified, the buffering will be performed in this projection and the distance will be interpreted as units of the coordinate system of this projection. Otherwise the distance is interpereted as meters and the buffering is performed in a spherical coordinate system.

ee.Geometry.centroid

Returns a point at the center of the highest-dimension components of the geometry. Lower-dimensional components are ignored, so the centroid of a geometry containing two polygons, three lines and a point is equivalent to the centroid of a geometry containing just the two polygons.

Usage	Returns
Geometry.centroid(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the centroid of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in WGS84.

ee.Geometry.containedIn

Returns true iff one geometry is contained in the other.

Usage	Returns
Geometry.containedIn(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.contains

Returns true iff one geometry contains the other.

Usage	Returns
Geometry.contains(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.convexHull

Returns the convex hull of the given geometry. The convex hull of a single point is the point itself, the convex hull of collinear points is a line, and the convex hull of everything else is a polygon. Note that a degenerate polygon with all vertices on the same line will result in a line segment.

Usage	Returns
Geometry.convexHull(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Calculates the convex hull of this geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.coordinates

Returns a GeoJSON-style list of the geometry's coordinates.

Usage	Returns
Geometry.coordinates()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.cutLines

Converts LineStrings into a MultiLineString by cutting it in two at each distance along the length of the LineString.

Usage	Returns
Geometry.cutLines(distances, maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	Cuts the lines of this geometry.
distances	List	Distances along each LineString to cut the line into separate pieces, measured in units of the given proj, or meters if proj is unspecified.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	Projection of the result and distance measurements, or WGS84 if unspecified.

ee.Geometry.difference

Returns the result of subtracting the 'right' geometry from the 'left' geometry.

Usage	Returns
Geometry.difference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.disjoint

Returns true iff the geometries are disjoint.

Usage	Returns
Geometry.disjoint(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.dissolve

Returns the union of the geometry. This leaves single geometries untouched, and unions multi geometries.

Usage	Returns
Geometry.dissolve(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to union.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the union will be performed in this projection. Otherwise it will be performed in a spherical coordinate system.

ee.Geometry.distance

Returns the minimum distance between two geometries.

Usage	Returns
Geometry.distance(right, maxError, proj)	Float

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.edgesAreGeodesics

Returns true if the geometry edges, if any, are geodesics along a spherical model of the earth; if false, any edges are straight lines in the projection.

Usage	Returns
Geometry.edgesAreGeodesics()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
Geometry.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Geometry.geodesic

If false, edges are straight in the projection. If true, edges are curved to follow the shortest path on the surface of the Earth.

Usage	Returns
Geometry.geodesic()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.geometries

Returns the list of geometries in a GeometryCollection, or a singleton list of the geometry for single geometries.

Usage	Returns
Geometry.geometries()	List

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.getInfo

Retrieves the value of this object from the server.

If no callback function is provided, the request is made synchronously. If a callback is provided, the request is made asynchronously.

The asynchronous mode is preferred because the synchronous mode stops all other code (for example, the EE Code Editor UI) while waiting for the server. To make an asynchronous request, evaluate() is preferred over getInfo().

Returns the computed value of this object.

Usage	Returns
Geometry.getInfo(callback)	Object

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Geometry.intersection

Returns the intersection of the two geometries.

Usage	Returns
Geometry.intersection(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.intersects

Returns true iff the geometries intersect.

Usage	Returns
Geometry.intersects(right, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.isUnbounded

Returns whether the geometry is unbounded.

Usage	Returns
Geometry.isUnbounded()	Boolean

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.length

Returns the length of the linear parts of the geometry. Polygonal parts are ignored. The length of multi geometries is the sum of the lengths of their components.

Usage	Returns
Geometry.length(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.perimeter

Returns the length of the perimeter of the polygonal parts of the geometry. The perimeter of multi geometries is the sum of the perimeters of their components.

Usage	Returns
Geometry.perimeter(maxError, proj)	Float

Argument	Type	Details
this: geometry	Geometry	The input geometry.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	If specified, the result will be in the units of the coordinate system of this projection. Otherwise it will be in meters.

ee.Geometry.projection

Returns the projection of the geometry.

Usage	Returns
Geometry.projection()	Projection

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.serialize

Returns the serialized representation of this object.

Usage	Returns
Geometry.serialize()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.simplify

Simplifies the geometry to within a given error margin. Note that this does not respect the error margin requested by the consumer of this algorithm, unless maxError is explicitly specified to be null.

This overrides the default Earth Engine policy for propagating error margins, so regardless of the geometry accuracy requested from the output, the inputs will be requested with the error margin specified in the arguments to this algorithm. This results in consistent rendering at all zoom levels of a rendered vector map, but at lower zoom levels (i.e. zoomed out), the geometry won't be simplified, which may harm performance.

Usage	Returns
Geometry.simplify(maxError, proj)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to simplify.
maxError	ErrorMargin	The maximum amount of error by which the result may differ from the input.
proj	Projection, default: null	If specified, the result will be in this projection. Otherwise it will be in the same projection as the input. If the error margin is in projected units, the margin will be interpreted as units of this projection

ee.Geometry.symmetricDifference

Returns the symmetric difference between two geometries.

Usage	Returns
Geometry.symmetricDifference(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.toGeoJSON

Returns a GeoJSON representation of the geometry.

Usage	Returns
Geometry.toGeoJSON()	GeoJSONGeometry

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.toGeoJSONString

Returns a GeoJSON string representation of the geometry.

Usage	Returns
Geometry.toGeoJSONString()	String

Argument	Type	Details
this: geometry	Geometry	The Geometry instance.

ee.Geometry.transform

Transforms the geometry to a specific projection.

Usage	Returns
Geometry.transform(proj, maxError)	Geometry

Argument	Type	Details
this: geometry	Geometry	The geometry to reproject.
proj	Projection, optional	The target projection. Defaults to WGS84. If this has a geographic CRS, the edges of the geometry will be interpreted as geodesics. Otherwise they will be interpreted as straight lines in the projection.
maxError	ErrorMargin, default: null	The maximum projection error.

ee.Geometry.type

Returns the GeoJSON type of the geometry.

Usage	Returns
Geometry.type()	String

Argument	Type	Details
this: geometry	Geometry

ee.Geometry.union

Returns the union of the two geometries.

Usage	Returns
Geometry.union(right, maxError, proj)	Geometry

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Geometry.withinDistance

Returns true iff the geometries are within a specified distance.

Usage	Returns
Geometry.withinDistance(right, distance, maxError, proj)	Boolean

Argument	Type	Details
this: left	Geometry	The geometry used as the left operand of the operation.
right	Geometry	The geometry used as the right operand of the operation.
distance	Float	The distance threshold. If a projection is specified, the distance is in units of that projected coordinate system, otherwise it is in meters.
maxError	ErrorMargin, default: null	The maximum amount of error tolerated when performing any necessary reprojection.
proj	Projection, default: null	The projection in which to perform the operation. If not specified, the operation will be performed in a spherical coordinate system, and linear distances will be in meters on the sphere.

ee.Image

An object to represent an Earth Engine image. This constructor accepts a variety of arguments:

  - A string: an EarthEngine asset id,

  - A string and a number - an EarthEngine asset id and version,

  - A number or EEArray: creates a constant image,

  - A list: creates an image out of each list element and combines them into a single image,

  - An ee.Image: returns the argument,

  - Nothing: results in an empty transparent image.

Usage	Returns
ee.Image(args)	Image

Argument	Type	Details
args	Image|List, optional	Constructor argument.

ee.Image.abs

Computes the absolute value of the input.

Usage	Returns
Image.abs()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.acos

Computes the arc cosine in radians of the input.

Usage	Returns
Image.acos()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.add

Adds the first value to the second for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.add(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.addBands

Returns an image containing all bands copied from the first input and selected bands from the second input, optionally overwriting bands in the first image with the same name. The new image has the metadata and footprint from the first input image.

Usage	Returns
Image.addBands(srcImg, names, overwrite)	Image

Argument	Type	Details
this: dstImg	Image	An image into which to copy bands.
srcImg	Image	An image containing bands to copy.
names	List, default: null	Optional list of band names to copy. If names is omitted, all bands from srcImg will be copied over.
overwrite	Boolean, default: false	If true, bands from srcImg will override bands with the same names in dstImg. Otherwise the new band will be renamed with a numerical suffix ('foo' to 'foo_1' unless 'foo_1' exists, then 'foo_2' unless it exists, etc).

ee.Image.and

Returns 1 iff both values are non-zero for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is boolean.

Usage	Returns
Image.and(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.arrayAccum

Accumulates elements of each array pixel along the given axis, by setting each element of the result array pixel to the reduction of elements in that pixel along the given axis, up to and including the current position on the axis. May be used to make a cumulative sum, a monotonically increasing sequence, etc.

Usage	Returns
Image.arrayAccum(axis, reducer)	Image

Argument	Type	Details
this: input	Image	Input image.
axis	Integer	Axis along which to perform the cumulative sum.
reducer	Reducer, default: null	Reducer to accumulate values. Default is SUM, to produce the cumulative sum of each vector along the given axis.

ee.Image.arrayArgmax

Computes the positional indices of the maximum value in image of array values. If there are multiple occurrences of the maximum, the indices reflect the first.

Usage	Returns
Image.arrayArgmax()	Image

Argument	Type	Details
this: image	Image	The input image.

ee.Image.arrayCat

Creates an array image by concatenating each array pixel along the given axis in each band.

Usage	Returns
Image.arrayCat(image2, axis)	Image

Argument	Type	Details
this: image1	Image	First array image to concatenate.
image2	Image	Second array image to concatenate.
axis	Integer	Axis to concatenate along.

ee.Image.arrayDimensions

Returns the number of dimensions in each array band, and 0 for scalar image bands.

Usage	Returns
Image.arrayDimensions()	Image

Argument	Type	Details
this: input	Image	Input image.

ee.Image.arrayDotProduct

Computes the dot product of each pair of 1-D arrays in the bands of the input images.

Usage	Returns
Image.arrayDotProduct(image2)	Image

Argument	Type	Details
this: image1	Image	First array image of 1-D vectors.
image2	Image	Second array image of 1-D vectors.

ee.Image.arrayFlatten

Converts a single band image of equal-shape multidimensional pixels to an image of scalar pixels, with one band for each element of the array.

Usage	Returns
Image.arrayFlatten(coordinateLabels, separator)	Image

Argument	Type	Details
this: image	Image	Image of multidimensional pixels to flatten.
coordinateLabels	List	Name of each position along each axis. For example, 2x2 arrays with axes meaning 'day' and 'color' could have labels like [['monday', 'tuesday'], ['red', 'green']], resulting in band names'monday_red', 'monday_green', 'tuesday_red', and 'tuesday_green'.
separator	String, default: "_"	Separator between array labels in each band name.

ee.Image.arrayGet

For each band, an output band of the same name is created with the value at the given position extracted from the input multidimensional pixel in that band.

Usage	Returns
Image.arrayGet(position)	Image

Argument	Type	Details
this: image	Image	Array to get an element from.
position	Image	The coordinates of the element to get. There must be as many scalar bands as there are dimensions in the input image.

ee.Image.arrayLength

Returns the length of each pixel's array along the given axis.

Usage	Returns
Image.arrayLength(axis)	Image

Argument	Type	Details
this: input	Image	Input image.
axis	Integer	The axis along which to take the length.

ee.Image.arrayLengths

Returns a 1D array image with the length of each array axis.

Usage	Returns
Image.arrayLengths()	Image

Argument	Type	Details
this: input	Image	Input image.

ee.Image.arrayMask

Creates an array image where each array-valued pixel is masked with another array-valued pixel, retaining only the elements where the mask is non-zero. If the mask image has one band it will be applied to all the bands of 'input', otherwise they must have the same number of bands.

Usage	Returns
Image.arrayMask(mask)	Image

Argument	Type	Details
this: input	Image	Array image to mask.
mask	Image	Array image to mask with.

ee.Image.arrayProject

Projects the array in each pixel to a lower dimensional space by specifying the axes to retain. Dropped axes must be at most length 1.

Usage	Returns
Image.arrayProject(axes)	Image

Argument	Type	Details
this: input	Image	Input image.
axes	List	The axes to retain. Other axes will be discarded and must be at most length 1.

ee.Image.arrayReduce

Reduces elements of each array pixel.

Usage	Returns
Image.arrayReduce(reducer, axes, fieldAxis)	Image

Argument	Type	Details
this: input	Image	Input image.
reducer	Reducer	The reducer to apply
axes	List	The list of array axes to reduce in each pixel. The output will have a length of 1 in all these axes.
fieldAxis	Integer, default: null	The axis for the reducer's input and output fields. Only required if the reducer has multiple inputs or outputs.

ee.Image.arrayRepeat

Repeats each array pixel along the given axis. Each output pixel will have the shape of the input pixel, except length along the repeated axis, which will be multiplied by the number of copies.

Usage	Returns
Image.arrayRepeat(axis, copies)	Image

Argument	Type	Details
this: input	Image	Image of array pixels to be repeated.
axis	Integer	Axis along which to repeat each pixel's array.
copies	Image	Number of copies of each pixel.

ee.Image.arraySlice

Creates a subarray by slicing out each position along the given axis from the 'start' (inclusive) to 'end' (exclusive) by increments of 'step'. The result will have as many dimensions as the input, and the same length in all directions except the slicing axis, where the length will be the number of positions from 'start' to 'end' by 'step' that are in range of the input array's length along 'axis'. This means the result can be length 0 along the given axis if start=end, or if the start or end values are entirely out of range.

Usage	Returns
Image.arraySlice(axis, start, end, step)	Image

Argument	Type	Details
this: input	Image	Input array image.
axis	Integer, default: 0	Axis to subset.
start	Image, default: null	The coordinate of the first slice (inclusive) along 'axis'. Negative numbers are used to position the start of slicing relative to the end of the array, where -1 starts at the last position on the axis, -2 starts at the next to last position, etc. There must one band for start indices, or one band per 'input' band. If this argument is not set or masked at some pixel, then the slice at that pixel will start at index 0.
end	Image, default: null	The coordinate (exclusive) at which to stop taking slices. By default this will be the length of the given axis. Negative numbers are used to position the end of slicing relative to the end of the array, where -1 will exclude the last position, -2 will exclude the last two positions, etc. There must be one band for end indices, or one band per 'input' band. If this argument is not set or masked at some pixel, then the slice at that pixel will end just after the last index.
step	Integer, default: 1	The separation between slices along 'axis'; a slice will be taken at each whole multiple of 'step' from 'start' (inclusive) to 'end' (exclusive). Must be positive.

ee.Image.arraySort

Sorts elements of each array pixel along one axis.

Usage	Returns
Image.arraySort(keys)	Image

Argument	Type	Details
this: image	Image	Array image to sort.
keys	Image, default: null	Optional keys to sort by. If not provided, the values are used as the keys. The keys can only have multiple elements along one axis, which determines the direction to sort in.

ee.Image.arrayTranspose

Transposes two dimensions of each array pixel.

Usage	Returns
Image.arrayTranspose(axis1, axis2)	Image

Argument	Type	Details
this: input	Image	Input image.
axis1	Integer, default: 0	First axis to swap.
axis2	Integer, default: 1	Second axis to swap.

ee.Image.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
Image.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.Image.asin

Computes the arc sine in radians of the input.

Usage	Returns
Image.asin()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.atan

Computes the arc tangent in radians of the input.

Usage	Returns
Image.atan()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.atan2

Calculates the angle formed by the 2D vector [x, y] for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is float.

Usage	Returns
Image.atan2(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.bandNames

Returns a list containing the names of the bands of an image.

Usage	Returns
Image.bandNames()	List

Argument	Type	Details
this: image	Image	The image from which to get band names.

ee.Image.bandTypes

Returns a dictionary of the image's band types.

Usage	Returns
Image.bandTypes()	Dictionary

Argument	Type	Details
this: image	Image	The image from which to get band types.

ee.Image.bitCount

Calculates the number of one-bits in the 64-bit two's complement binary representation of the input.

Usage	Returns
Image.bitCount()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.bitsToArrayImage

Turns the bits of an integer into a 1-D array. The array has a lengthup to the highest 'on' bit in the input.

Usage	Returns
Image.bitsToArrayImage()	Image

Argument	Type	Details
this: input	Image	Input image.

ee.Image.bitwiseAnd

Calculates the bitwise AND of the input values for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.bitwiseAnd(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.bitwiseNot

Calculates the bitwise NOT of the input, in the smallest signed integer type that can hold the input.

Usage	Returns
Image.bitwiseNot()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.bitwiseOr

Calculates the bitwise OR of the input values for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.bitwiseOr(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.bitwiseXor

Calculates the bitwise XOR of the input values for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.bitwiseXor(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.bitwise_and

Calculates the bitwise AND of the input values for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.bitwise_and(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.bitwise_not

Calculates the bitwise NOT of the input, in the smallest signed integer type that can hold the input.

Usage	Returns
Image.bitwise_not()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.bitwise_or

Calculates the bitwise OR of the input values for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.bitwise_or(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.bitwise_xor

Calculates the bitwise XOR of the input values for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.bitwise_xor(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.blend

Overlays one image on top of another. The images are blended together using the masks as opacity. If either of images has only 1 band, it is replicated to match the number of bands in the other image.

Usage	Returns
Image.blend(top)	Image

Argument	Type	Details
this: bottom	Image	The bottom image.
top	Image	The top image.

ee.Image.byte

Casts the input value to an unsigned 8-bit integer.

Usage	Returns
Image.byte()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.cast

Casts some or all bands of an image to the specified types.

Usage	Returns
Image.cast(bandTypes, bandOrder)	Image

Argument	Type	Details
this: image	Image	The image to cast.
bandTypes	Dictionary	A dictionary from band name to band types. Types can be PixelTypes or strings. The valid strings are: 'int8', 'int16', 'int32', 'int64', 'uint8', 'uint16', 'uint32', 'byte', 'short', 'int', 'long', 'float' and 'double'. If bandTypes includes bands that are not already in the input image, they will be added to the image as transparent bands. If bandOrder isn't also specified, new bands will be appended in alphabetical order.
bandOrder	List, default: null	A list specifying the order of the bands in the result. If specified, must match the full list of bands in the result.

ee.Image.cat

Concatenate the given images together into a single image.

Returns the combined image.

Usage	Returns
ee.Image.cat(var_args)	Image

Argument	Type	Details
var_args	VarArgs	The images to be combined.

ee.Image.cbrt

Computes the cubic root of the input.

Usage	Returns
Image.cbrt()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.ceil

Computes the smallest integer greater than or equal to the input.

Usage	Returns
Image.ceil()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.changeProj

Tweaks the projection of the input image, moving each pixel from its location in srcProj to the same coordinates in dstProj.

Usage	Returns
Image.changeProj(srcProj, dstProj)	Image

Argument	Type	Details
this: input	Image
srcProj	Projection	The original projection.
dstProj	Projection	The new projection.

ee.Image.clamp

Clamps the values in all bands of an image to all lie within the specified range.

Usage	Returns
Image.clamp(low, high)	Image

Argument	Type	Details
this: input	Image	The image to clamp.
low	Float	The minimum allowed value in the range.
high	Float	The maximum allowed value in the range.

ee.Image.classify

Classifies an image.

Usage	Returns
Image.classify(classifier, outputName)	Image

Argument	Type	Details
this: image	Image	The image to classify. Bands are extracted from this image by name, and it must contain all the bands named in the classifier's schema.
classifier	Classifier	The classifier to use.
outputName	String, default: "classification"	The name of the band to be added.

ee.Image.clip

Clips an image to a Geometry or Feature.

The output bands correspond exactly the input bands, except data not covered by the geometry is masked. The output image retains the metadata of the input image.

Use clipToCollection to clip an image to a FeatureCollection.

Returns the clipped image.

Usage	Returns
Image.clip(geometry)	Image

Argument	Type	Details
this: image	Image	The Image instance.
geometry	Feature|Geometry|Object	The Geometry or Feature to clip to.

ee.Image.clipToBoundsAndScale

Clips an image to the bounds of a Geometry, and scales the clipped image to a particular size or scale.

Usage	Returns
Image.clipToBoundsAndScale(geometry, width, height, maxDimension, scale)	Image

Argument	Type	Details
this: input	Image	The image to clip and scale.
geometry	Geometry, default: null	The Geometry to clip the image to. The image will be clipped to the bounding box, in the image's projection, of this geometry.
width	Integer, default: null	The width to scale the image to, in pixels. Must be provided along with "height". Exclusive with "maxDimension" and "scale".
height	Integer, default: null	The height to scale the image to, in pixels. Must be provided along with "width". Exclusive with "maxDimension" and "scale".
maxDimension	Integer, default: null	The maximum dimension to scale the image to, in pixels. Exclusive with "width", "height" and "scale".
scale	Float, default: null	If scale is specified, then the projection is scaled by dividing the specified scale value by the nominal size of a meter in the image's projection. Exclusive with "width", "height" and "maxDimension".

ee.Image.clipToCollection

Clips an image to a FeatureCollection. The output bands correspond exactly the input bands, except data not covered by the geometry of at least one feature from the collection is masked. The output image retains the metadata of the input image.

Usage	Returns
Image.clipToCollection(collection)	Image

Argument	Type	Details
this: input	Image	The image to clip.
collection	Object	The FeatureCollection to clip to.

ee.Image.cluster

Applies a clusterer to an image. Returns a new image with a single band containing values from 0 to N, indicating the cluster each pixel is assigned to.

Usage	Returns
Image.cluster(clusterer, outputName)	Image

Argument	Type	Details
this: image	Image	The image to cluster. Must contain all the bands in the clusterer's schema.
clusterer	Clusterer	The clusterer to use.
outputName	String, default: "cluster"	The name of the output band.

ee.Image.connectedComponents

Finds connected components with the same value of the first band of the input and labels them with a globally unique value. Connectedness is specified by the given kernel. Objects larger than maxSize are considered background, and are masked.

Usage	Returns
Image.connectedComponents(connectedness, maxSize)	Image

Argument	Type	Details
this: image	Image	The image to label.
connectedness	Kernel	Connectedness kernel.
maxSize	Integer	Maximum size of objects to be labeled.

ee.Image.connectedPixelCount

Generate an image where each pixel contains the number of 4- or 8-connected neighbors (including itself).

Usage	Returns
Image.connectedPixelCount(maxSize, eightConnected)	Image

Argument	Type	Details
this: input	Image	The input image.
maxSize	Integer, default: 100	The maximum size of the neighborhood in pixels.
eightConnected	Boolean, default: true	Whether to use 8-connected rather 4-connected rules.

ee.Image.constant

Generates an image containing a constant value everywhere.

Usage	Returns
ee.Image.constant(value)	Image

Argument	Type	Details
value	Object	The value of the pixels in the constant image. Must be a number or an Array or a list of numbers or Arrays.

ee.Image.convolve

Convolves each band of an image with the given kernel.

Usage	Returns
Image.convolve(kernel)	Image

Argument	Type	Details
this: image	Image	The image to convolve.
kernel	Kernel	The kernel to convolve with.

ee.Image.cos

Computes the cosine of the input in radians.

Usage	Returns
Image.cos()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.cosh

Computes the hyperbolic cosine of the input.

Usage	Returns
Image.cosh()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.cumulativeCost

Computes a cumulative cost map based on an image containing costs to traverse each pixel and an image containing source locations.

Usage	Returns
Image.cumulativeCost(source, maxDistance, geodeticDistance)	Image

Argument	Type	Details
this: cost	Image	A single-band image representing the cost to traverse each pixel. Masked pixels can't be traversed.
source	Image	A single-band image representing the sources. A pixel value different from 0 defines a source pixel.
maxDistance	Float	Maximum distance for computation, in meters.
geodeticDistance	Boolean, default: true	If true, geodetic distance along the curved surface is used, assuming a spherical Earth of radius 6378137.0. If false, euclidean distance in the 2D plane of the map projection is used (faster, but less accurate).

ee.Image.date

Returns the acquisition time of an image as a Date object. This helper function is equivalent to ee.Date(image.get('system:time_start')).

Usage	Returns
Image.date()	Date

Argument	Type	Details
this: image	Image	The image whose acquisition time to return.

ee.Image.derivative

Computes the X and Y discrete derivatives for each band in the input image, in pixel coordinates.

For each band of the input image, the output image will have two bands named with the suffixes '_x' and '_y', containing the respective derivatives.

Usage	Returns
Image.derivative()	Image

Argument	Type	Details
this: image	Image	The input image.

ee.Image.digamma

Computes the digamma function of the input.

Usage	Returns
Image.digamma()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.displace

Warps an image using an image of displacements.

Usage	Returns
Image.displace(displacement, mode)	Image

Argument	Type	Details
this: image	Image	The image to warp.
displacement	Image	An image containing displacement values. The first band is interpreted as the 'X' displacement and the second as the 'Y' displacement. Each displacement pixel is a [dx,dy] vector added to the pixel location to determine the corresponding pixel location in 'image'. Displacements are interpreted as meters in the default projection of the displacement image.
mode	String, default: "bicubic"	The interpolation mode to use. One of 'nearest_neighbor', 'bilinear' or 'bicubic'.)

ee.Image.displacement

Determines displacements required to register an image to a reference image while allowing local, rubber sheet deformations. Displacements are computed in the CRS of the reference image, at a scale dictated by the lowest resolution of the following three projections: input image projection, reference image projection, and requested projection. The displacements are then transformed into the user-specified projection for output.

Usage	Returns
Image.displacement(referenceImage, maxOffset, projection, patchWidth, stiffness)	Image

Argument	Type	Details
this: image	Image	The image to register.
referenceImage	Image	The image to register to.
maxOffset	Float	The maximum offset allowed when attempting to align the input images, in meters. Using a smaller value can reduce computation time significantly, but it must still be large enough to cover the greatest displacement within the entire image region.
projection	Projection, default: null	The projection in which to output displacement values. The default is the projection of the first band of the reference image.
patchWidth	Float, default: null	Patch size for detecting image offsets, in meters. This should be set large enough to capture texture, as well as large enough that ignorable objects are small within the patch. Default is null. Patch size will be determined automatically if not provided.
stiffness	Float, default: 5	Enforces a stiffness constraint on the solution. Valid values are in the range [0,10]. The stiffness is used for outlier rejection when determining displacements at adjacent grid points. Higher values move the solution towards a rigid transformation. Lower values allow more distortion or warping of the image during registration.

ee.Image.distance

Computes the distance to the nearest non-zero pixel in each band, using the specified distance kernel.

Usage	Returns
Image.distance(kernel, skipMasked)	Image

Argument	Type	Details
this: image	Image	The input image.
kernel	Kernel, default: null	The distance kernel.
skipMasked	Boolean, default: true	Mask output pixels if the corresponding input pixel is masked.

ee.Image.divide

Divides the first value by the second, returning 0 for division by 0 for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.divide(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.double

Casts the input value to a 64-bit float.

Usage	Returns
Image.double()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.entropy

Computes the windowed entropy for each band using the specified kernel centered on each input pixel.

Usage	Returns
Image.entropy(kernel)	Image

Argument	Type	Details
this: image	Image	The image for which to compute the entropy.
kernel	Kernel	A kernel specifying the window in which to compute.

ee.Image.eq

Returns 1 iff the first value is equal to the second for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is boolean.

Usage	Returns
Image.eq(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.erf

Computes the error function of the input.

Usage	Returns
Image.erf()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.erfInv

Computes the inverse error function of the input.

Usage	Returns
Image.erfInv()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.erfc

Computes the complementary error function of the input.

Usage	Returns
Image.erfc()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.erfcInv

Computes the inverse complementary error function of the input.

Usage	Returns
Image.erfcInv()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
Image.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.Image.exp

Computes the Euler's number e raised to the power of the input.

Usage	Returns
Image.exp()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.expression

Evaluates an arithmetic expression on an image, possibly involving additional images.

The bands of the primary input image are available using the built-in function b(), as b(0) or b('band_name').

Variables in the expression are interpreted as additional image parameters which must be supplied in opt_map. The bands of each such image can be accessed like image.band_name or image[0].

Both b() and image[] allow multiple arguments, to specify multiple bands, such as b(1, 'name', 3). Calling b() with no arguments, or using a variable by itself, returns all bands of the image.

If the result of an expression is a single band, it can be assigned a name using the '=' operator (e.g.: x = a + b).

Returns the image computed by the provided expression.

Usage	Returns
Image.expression(expression, map)	Image

Argument	Type	Details
this: image	Image	The Image instance.
expression	String	The expression to evaluate.
map	Dictionary, optional	A map of input images available by name.

ee.Image.fastDistanceTransform

Returns the distance, as determined by the specified distance metric, to the nearest non-zero valued pixel in the input. The output contains values for all pixels within the given neighborhood size, regardless of the input's mask. Note: the default distance metric returns squared distance.

Usage	Returns
Image.fastDistanceTransform(neighborhood, units, metric)	Image

Argument	Type	Details
this: image	Image	The input image.
neighborhood	Integer, default: 256	Neighborhood size in pixels.
units	String, default: "pixels"	The units of the neighborhood, currently only 'pixels' are supported.
metric	String, default: "squared_euclidean"	Distance metric to use: options are 'squared_euclidean', 'manhattan' or 'chebyshev'.

ee.Image.first

Selects the value of the first value for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.first(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.firstNonZero

Selects the first value if it is non-zero, and the second value otherwise for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.firstNonZero(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.first_nonzero

Selects the first value if it is non-zero, and the second value otherwise for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.first_nonzero(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.float

Casts the input value to a 32-bit float.

Usage	Returns
Image.float()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.floor

Computes the largest integer less than or equal to the input.

Usage	Returns
Image.floor()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.focal_max

Applies a morphological reducer() filter to each band of an image using a named or custom kernel.

Usage	Returns
Image.focal_max(radius, kernelType, units, iterations, kernel)	Image

Argument	Type	Details
this: image	Image	The image to which to apply the operations.
radius	Float, default: 1.5	The radius of the kernel to use.
kernelType	String, default: "circle"	The type of kernel to use. Options include: 'circle', 'square', 'cross', 'plus', octagon' and 'diamond'.
units	String, default: "pixels"	If a kernel is not specified, this determines whether the kernel is in meters or pixels.
iterations	Integer, default: 1	The number of times to apply the given kernel.
kernel	Kernel, default: null	A custom kernel. If used, kernelType and radius are ignored.

ee.Image.focal_mean

Applies a morphological mean filter to each band of an image using a named or custom kernel.

Usage	Returns
Image.focal_mean(radius, kernelType, units, iterations, kernel)	Image

Argument	Type	Details
this: image	Image	The image to which to apply the operations.
radius	Float, default: 1.5	The radius of the kernel to use.
kernelType	String, default: "circle"	The type of kernel to use. Options include: 'circle', 'square', 'cross', 'plus', octagon' and 'diamond'.
units	String, default: "pixels"	If a kernel is not specified, this determines whether the kernel is in meters or pixels.
iterations	Integer, default: 1	The number of times to apply the given kernel.
kernel	Kernel, default: null	A custom kernel. If used, kernelType and radius are ignored.

ee.Image.focal_median

Applies a morphological reducer() filter to each band of an image using a named or custom kernel.

Usage	Returns
Image.focal_median(radius, kernelType, units, iterations, kernel)	Image

Argument	Type	Details
this: image	Image	The image to which to apply the operations.
radius	Float, default: 1.5	The radius of the kernel to use.
kernelType	String, default: "circle"	The type of kernel to use. Options include: 'circle', 'square', 'cross', 'plus', octagon' and 'diamond'.
units	String, default: "pixels"	If a kernel is not specified, this determines whether the kernel is in meters or pixels.
iterations	Integer, default: 1	The number of times to apply the given kernel.
kernel	Kernel, default: null	A custom kernel. If used, kernelType and radius are ignored.

ee.Image.focal_min

Applies a morphological reducer() filter to each band of an image using a named or custom kernel.

Usage	Returns
Image.focal_min(radius, kernelType, units, iterations, kernel)	Image

Argument	Type	Details
this: image	Image	The image to which to apply the operations.
radius	Float, default: 1.5	The radius of the kernel to use.
kernelType	String, default: "circle"	The type of kernel to use. Options include: 'circle', 'square', 'cross', 'plus', octagon' and 'diamond'.
units	String, default: "pixels"	If a kernel is not specified, this determines whether the kernel is in meters or pixels.
iterations	Integer, default: 1	The number of times to apply the given kernel.
kernel	Kernel, default: null	A custom kernel. If used, kernelType and radius are ignored.

ee.Image.focal_mode

Applies a morphological reducer() filter to each band of an image using a named or custom kernel.

Usage	Returns
Image.focal_mode(radius, kernelType, units, iterations, kernel)	Image

Argument	Type	Details
this: image	Image	The image to which to apply the operations.
radius	Float, default: 1.5	The radius of the kernel to use.
kernelType	String, default: "circle"	The type of kernel to use. Options include: 'circle', 'square', 'cross', 'plus', octagon' and 'diamond'.
units	String, default: "pixels"	If a kernel is not specified, this determines whether the kernel is in meters or pixels.
iterations	Integer, default: 1	The number of times to apply the given kernel.
kernel	Kernel, default: null	A custom kernel. If used, kernelType and radius are ignored.

ee.Image.gamma

Computes the gamma function of the input.

Usage	Returns
Image.gamma()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.gammainc

Calculates the regularized lower incomplete Gamma function γ(x,a) for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is float.

Usage	Returns
Image.gammainc(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.get

Extract a property from a feature.

Usage	Returns
Image.get(property)

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.Image.getArray

Extract a property from a feature.

Usage	Returns
Image.getArray(property)	Array

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.Image.getDownloadURL

Get a Download URL

Returns returns a download URL, or undefined if a callback was specified.

Usage	Returns
Image.getDownloadURL(params, callback)	Object|String

Argument	Type	Details
this: image	Image	The Image instance.
params	Object	An object containing download options with the following possible values:   - name: a base name to use when constructing filenames.   - bands: a description of the bands to download. Must be a list of dictionaries, each with the following keys:     + id: the name of the band, a string, required.     + crs: an optional CRS string defining the band projection.     + crs_transform: an optional list of 6 numbers specifying an affine transform from the specified CRS, in row-major order: [xScale, xShearing, xTranslation, yShearing, yScale, yTranslation]     + dimensions: an optional list of two integers defining the width and height to which the band is cropped.     + scale: an optional number, specifying the scale in meters of the band; ignored if crs and crs_transform is specified.   - crs: a default CRS string to use for any bands that do not explicitly specify one.   - crs_transform: a default affine transform to use for any bands that do not specify one, of the same format as the crs_transform of bands.   - dimensions: default image cropping dimensions to use for any bands that do not specify them.   - scale: a default scale to use for any bands that do not specify one; ignored if crs and crs_transform is specified.   - region: a polygon specifying a region to download; ignored if crs and crs_transform is specified.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Image.getInfo

An imperative function that returns information about this image via an AJAX call.

Returns a description of the image. Includes:

  - bands - a list containing metadata about the bands in the collection.

  - properties - a dictionary containing the image's metadata properties.

Usage	Returns
Image.getInfo(callback)	ImageDescription

Argument	Type	Details
this: image	Image	The Image instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously. If supplied, will be called with the first parameter if successful and the second if unsuccessful.

ee.Image.getMap

An imperative function that returns a map id and token, suitable for generating a Map overlay.

Returns an object containing a mapid string, an access token plus this object, or an error message. Or undefined if a callback was specified.

Usage	Returns
Image.getMap(visParams, callback)	MapId|Object

Argument	Type	Details
this: image	Image	The Image instance.
visParams	ImageVisualizationParameters, optional	The visualization parameters.
callback	Function, optional	An async callback. If not supplied, the call is made synchronously.

ee.Image.getNumber

Extract a property from a feature.

Usage	Returns
Image.getNumber(property)	Number

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.Image.getString

Extract a property from a feature.

Usage	Returns
Image.getString(property)	String

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.Image.getThumbURL

Get a thumbnail URL for this image.

Returns a thumbnail URL, or undefined if a callback was specified.

Usage	Returns
Image.getThumbURL(params, callback)	Object|String

Argument	Type	Details
this: image	Image	The Image instance.
params	Object	Parameters identical to ee.data.getMapId, plus, optionally:   - dimensions (a number or pair of numbers in format WIDTHxHEIGHT) Maximum dimensions of the thumbnail to render, in pixels. If only one number is passed, it is used as the maximum, and the other dimension is computed by proportional scaling.   - region Geospatial region of the image to render, it may be an ee.Geometry, GeoJSON, or an array of lat/lon points (E,S,W,N). If not set the   - format (string) Either 'png' or 'jpg'.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously.

ee.Image.glcmTexture

Computes texture metrics from the Gray Level Co-occurrence Matrix around each pixel of every band.

Usage	Returns
Image.glcmTexture(size, kernel, average)	Image

Argument	Type	Details
this: image	Image	The image for which to compute texture metrics.
size	Integer, default: 1	The size of the neighborhood to include in each GLCM.
kernel	Kernel, default: null	A kernel specifying the x and y offsets over which to compute the GLCMs. A GLCM is computed for each pixel in the kernel that is non-zero, except the center pixel and as long as a GLCM hasn't already been computed for the same direction and distance. For example, if either or both of the east and west pixels are set, only 1 (horizontal) GLCM is computed. Kernels are scanned from left to right and top to bottom. The default is a 3x3 square, resulting in 4 GLCMs with the offsets (-1, -1), (0, -1), (1, -1) and (-1, 0).
average	Boolean, default: true	If true, the directional bands for each metric are averaged.

ee.Image.gradient

Calculates the x and y gradient.

Usage	Returns
Image.gradient()	Image

Argument	Type	Details
this: input	Image	The input image.

ee.Image.gt

Returns 1 iff the first value is greater than the second for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is boolean.

Usage	Returns
Image.gt(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.gte

Returns 1 iff the first value is greater than or equal to the second for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is boolean.

Usage	Returns
Image.gte(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.hsvToRgb

Transforms the image from the HSV color space to the RGB color space. Produces three bands: red, green and blue, all floating point values in the range [0, 1].

Usage	Returns
Image.hsvToRgb()	Image

Argument	Type	Details
this: image	Image	The image to transform.

ee.Image.hypot

Calculates the magnitude of the 2D vector [x, y] for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is float.

Usage	Returns
Image.hypot(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.id

Returns the ID of a given element within a collection. Objects outside collections are not guaranteed to have IDs.

Usage	Returns
Image.id()	String

Argument	Type	Details
this: element	Element	The element from which the ID is taken.

ee.Image.int

Casts the input value to a signed 32-bit integer.

Usage	Returns
Image.int()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.int16

Casts the input value to a signed 16-bit integer.

Usage	Returns
Image.int16()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.int32

Casts the input value to a signed 32-bit integer.

Usage	Returns
Image.int32()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.int64

Casts the input value to a signed 64-bit integer.

Usage	Returns
Image.int64()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.int8

Casts the input value to a signed 8-bit integer.

Usage	Returns
Image.int8()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.interpolate

Interpolates each point in the first band of the input image into the piecewise-linear function specified by the x and y arrays. The x values must be strictly increasing. If an input point is less than the first or greater than the last x value, then the output is specified by the "behavior" argument: "extrapolate" specifies the output value is extrapolated from the two nearest points, "clamp" specifies the output value is taken from the nearest point, "input" specifies the output value is copied from the input and "mask" specifies the output value is masked.

Usage	Returns
Image.interpolate(x, y, behavior)	Image

Argument	Type	Details
this: image	Image	The image to which the interpolation is applied.
x	List	The x axis (input) values in the piecewise function.
y	List	The y axis (output) values in the piecewise function.
behavior	String, default: "extrapolate"	The behavior for points that are outside of the range of the supplied function. Options are: 'extrapolate', 'clamp', 'mask' or 'input'.

ee.Image.lanczos

Computes the Lanczos approximation of the input.

Usage	Returns
Image.lanczos()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.leftShift

Calculates the left shift of v1 by v2 bits for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.leftShift(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.left_shift

Calculates the left shift of v1 by v2 bits for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.left_shift(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.load

Returns the image given its ID.

Usage	Returns
ee.Image.load(id, version)	Image

Argument	Type	Details
id	String	The asset ID of the image.
version	Long, default: -1	The version of the asset. -1 signifies the latest version.

ee.Image.log

Computes the natural logarithm of the input.

Usage	Returns
Image.log()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.log10

Computes the base-10 logarithm of the input.

Usage	Returns
Image.log10()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.long

Casts the input value to a signed 64-bit integer.

Usage	Returns
Image.long()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.lt

Returns 1 iff the first value is less than the second for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is boolean.

Usage	Returns
Image.lt(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.lte

Returns 1 iff the first value is less than or equal to the second for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is boolean.

Usage	Returns
Image.lte(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.mask

Gets or sets an image's mask. The output image retains the metadata and footprint of the input image. Pixels where the mask changes from zero to another value will be filled with zeros, or the values closest to zero within the range of the pixel type.

Note: the version that sets a mask will be deprecated. To set a mask from an image on previously unmasked pixels, use Image.updateMask. To unmask previously masked pixels, use Image.unmask.

Usage	Returns
Image.mask(mask)	Image

Argument	Type	Details
this: image	Image	The input image.
mask	Image, default: null	The mask image. If specified, the input image is copied to the output but given the mask by the values of this image. If this is a single band, it is used for all bands in the input image. If not specified, returns an image created from the mask of the input image, scaled to the range [0:1] (invalid = 0, valid = 1.0).

ee.Image.matrixCholeskyDecomposition

Calculates the Cholesky decomposition of a matrix. The Cholesky decomposition is a decomposition into the form L*L' where L is a lower triangular matrix. The input must be a symmetric positive-definite matrix. Returns an image with 1 band named 'L'.

Usage	Returns
Image.matrixCholeskyDecomposition()	Image

Argument	Type	Details
this: image	Image	Image of 2-D matrices to be decomposed.

ee.Image.matrixDeterminant

Computes the determinant of the matrix.

Usage	Returns
Image.matrixDeterminant()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.matrixDiagonal

Computes the diagonal of the matrix in a single column.

Usage	Returns
Image.matrixDiagonal()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.matrixFnorm

Computes the Frobenius norm of the matrix.

Usage	Returns
Image.matrixFnorm()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.matrixIdentity

Creates an image where each pixel is a 2D identity matrix of the given size.

Usage	Returns
ee.Image.matrixIdentity(size)	Image

Argument	Type	Details
size	Integer	The length of each axis.

ee.Image.matrixInverse

Computes the inverse of the matrix.

Usage	Returns
Image.matrixInverse()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.matrixLUDecomposition

Calculates the LU matrix decomposition such that P×input=L×U, where L is lower triangular (with unit diagonal terms), U is upper triangular and P is a partial pivot permutation matrix. The input matrix must be square. Returns an image with bands named 'L', 'U' and 'P'.

Usage	Returns
Image.matrixLUDecomposition()	Image

Argument	Type	Details
this: image	Image	Image of 2-D matrices to be decomposed.

ee.Image.matrixMultiply

Returns the matrix multiplication A*B for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.matrixMultiply(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.matrixPseudoInverse

Computes the Moore-Penrose pseudoinverse of the matrix.

Usage	Returns
Image.matrixPseudoInverse()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.matrixQRDecomposition

Calculates the QR-decomposition of a matrix into two matrices Q and R such that input = QR, where Q is orthogonal, and R is upper triangular. Returns an image with bands named 'Q' and 'R'.

Usage	Returns
Image.matrixQRDecomposition()	Image

Argument	Type	Details
this: image	Image	Image of 2-D matrices to be decomposed.

ee.Image.matrixSingularValueDecomposition

Calculates the Singular Value Decomposition of the input matrix into U×S×V', such that U and V are orthogonal and S is diagonal. Returns an image with bands named 'U', 'S' and 'V'.

Usage	Returns
Image.matrixSingularValueDecomposition()	Image

Argument	Type	Details
this: image	Image	Image of 2-D matrices to be decomposed.

ee.Image.matrixSolve

Solves for x in the matrix equation A*x=B, finding a least-squares solution if A is overdetermined for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.matrixSolve(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.matrixToDiag

Computes a square diagonal matrix from a single column matrix.

Usage	Returns
Image.matrixToDiag()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.matrixTrace

Computes the trace of the matrix.

Usage	Returns
Image.matrixTrace()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.matrixTranspose

Transposes two dimensions of each array pixel.

Usage	Returns
Image.matrixTranspose(axis1, axis2)	Image

Argument	Type	Details
this: input	Image	Input image.
axis1	Integer, default: 0	First axis to swap.
axis2	Integer, default: 1	Second axis to swap.

ee.Image.max

Selects the maximum of the first and second values for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.max(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.medialAxis

Computes the discrete medial axis of the zero valued pixels of the first band of the input. Outputs 4 bands:

 medial - the medial axis points, scaled by the distance.

 coverage - the number of points supporting each medial axis point.

 xlabel - the horizontal distance to the power point for each pixel.

 ylabel - the vertical distance to the power point for each pixel.

Usage	Returns
Image.medialAxis(neighborhood, units)	Image

Argument	Type	Details
this: image	Image	The input image.
neighborhood	Integer, default: 256	Neighborhood size in pixels.
units	String, default: "pixels"	The units of the neighborhood, currently only 'pixels' are supported.

ee.Image.metadata

Generates a constant image of type double from a metadata property.

Usage	Returns
Image.metadata(property, name)	Image

Argument	Type	Details
this: image	Image	The image from which to get the metadata
property	String	The property from which to take the value.
name	String, default: null	The name for the output band. If unspecified, it will be the same as the property name.

ee.Image.min

Selects the minimum of the first and second values for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.min(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.mod

Calculates the remainder of the first value divided by the second for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.mod(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.multiply

Multiplies the first value by the second for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.multiply(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.neighborhoodToArray

Turns the neighborhood of each pixel in a scalar image into a 2D array. Axes 0 and 1 of the output array correspond to Y and X axes of the image, respectively. The output image will have as many bands as the input; each output band has the same mask as the corresponding input band. The footprint and metadata of the input image are preserved.

Usage	Returns
Image.neighborhoodToArray(kernel, defaultValue)	Image

Argument	Type	Details
this: image	Image	The image to get pixels from; must be scalar-valued.
kernel	Kernel	The kernel specifying the shape of the neighborhood. Only fixed, square and rectangle kernels are supported. Weights are ignored; only the shape of the kernel is used.
defaultValue	Float, default: 0	The value to use in the output arrays to replace the invalid (masked) pixels of the input. If the band type is integral, the fractional part of this value is discarded; in all cases, the value is clamped to the value range of the band.

ee.Image.neighborhoodToBands

Turn the neighborhood of a pixel into a set of bands. The neighborhood is specified using a Kernel, and only non-zero-weight kernel values are used. The weights of the kernel is otherwise ignored.

Each input band produces x * y output bands. Each output band is named 'input_x_y' where x and y indicate the pixel's location in the kernel. For example, a 3x3 kernel operating on a 2-band image produces 18 output bands.

Usage	Returns
Image.neighborhoodToBands(kernel)	Image

Argument	Type	Details
this: image	Image	The image to get pixels from.
kernel	Kernel	The kernel specifying the neighborhood. Zero-weight values are ignored.

ee.Image.neq

Returns 1 iff the first value is not equal to the second for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is boolean.

Usage	Returns
Image.neq(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.normalizedDifference

Computes the normalized difference between two bands. If the bands to use are not specified, uses the first two bands. The normalized difference is computed as (first − second) / (first + second).

Usage	Returns
Image.normalizedDifference(bandNames)	Image

Argument	Type	Details
this: input	Image	The input image.
bandNames	List, default: null	A list of names specifying the bands to use. If not specified, the first and second bands are used.

ee.Image.not

Returns 0 if the input is non-zero, and 1 otherwise.

Usage	Returns
Image.not()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.or

Returns 1 iff either input value is non-zero for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is boolean.

Usage	Returns
Image.or(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.paint

Paints the geometries of a collection onto an image.

Usage	Returns
Image.paint(featureCollection, color, width)	Image

Argument	Type	Details
this: image	Image	The image on which the collection is painted.
featureCollection	FeatureCollection	The collection painted onto the image.
color	Object, default: 0	Either the name of a color property or a number.
width	Object, default: null	Either the name of a line-width property or a number.

ee.Image.pixelArea

Generate an image in which the value of each pixel is the area of that pixel in square meters.

Usage	Returns
ee.Image.pixelArea()	Image

No arguments.

ee.Image.pixelCoordinates

Creates a two band image containing the x and y coordinates of each pixel in the given projection.

Usage	Returns
ee.Image.pixelCoordinates(projection)	Image

Argument	Type	Details
projection	Projection	The projection in which to provide pixel.

ee.Image.pixelLonLat

Creates an image with two bands named 'longitude' and 'latitude', containing the longitude and latitude at each pixel, in degrees.

Usage	Returns
ee.Image.pixelLonLat()	Image

No arguments.

ee.Image.polynomial

Compute a polynomial at each pixel using the given coefficients.

Usage	Returns
Image.polynomial(coefficients)	Image

Argument	Type	Details
this: image	Image	The input image.
coefficients	List	The polynomial coefficients in increasing order of degree starting with the constant term.

ee.Image.pow

Raises the first value to the power of the second for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is float.

Usage	Returns
Image.pow(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.projection

Returns the default projection of an Image. Throws an error if the bands of the image don't all have the same projection.

Usage	Returns
Image.projection()	Projection

Argument	Type	Details
this: image	Image	The image from which to get the projection.

ee.Image.propertyNames

Returns the names of properties on this element.

Usage	Returns
Image.propertyNames()	List

Argument	Type	Details
this: element	Element

ee.Image.random

Generates a uniform random number at each pixel location, in the range of 0 to 1.

Usage	Returns
ee.Image.random(seed)	Image

Argument	Type	Details
seed	Long, default: 0	Seed for the random number generator.

ee.Image.randomVisualizer

Creates a vizualization image by assigning a random color to each unique value of the pixels of the first band. The first three bands of the output image will contan 8-bit R, G and B values, followed by all bands of the input image.

Usage	Returns
Image.randomVisualizer()	Image

Argument	Type	Details
this: image	Image	Image with at least one band.

ee.Image.reduce

Applies a reducer to all of the bands of an image.

The reducer must have a single input and will be called at each pixel to reduce the stack of band values.

The output image will have one band for each reducer output.

Usage	Returns
Image.reduce(reducer)	Image

Argument	Type	Details
this: image	Image	The image to reduce.
reducer	Reducer	The reducer to apply to the given image.

ee.Image.reduceConnectedComponents

Applies a reducer to all of the pixels inside of each 'object'. Pixels are considered to belong to an object if they are connected (8-way) and have the same value in the 'label' band. The label band is only used to identify the connectedness; the rest are provided as inputs to the reducer.

Usage	Returns
Image.reduceConnectedComponents(reducer, labelBand, maxSize)	Image

Argument	Type	Details
this: image	Image	The input image.
reducer	Reducer	The reducer to apply to pixels within the connected component.
labelBand	String, default: null	The name of the band to use to detect connectedness. If unspecified, the first band is used.
maxSize	Integer, default: 256	Size of the neighborhood to consider when aggregating values. Any objects larger than maxSize in either the horizontal or vertical dimension will be masked, since portions of the object might be outside of the neighborhood.

ee.Image.reduceNeighborhood

Applies the given reducer to the neighborhood around each pixel, as determined by the given kernel. If the reducer has a single input, it will be applied separately to each band of the collection; otherwise it must have the same number of inputs as the input image has bands.

The reducer output names determine the names of the output bands: reducers with multiple inputs will use the output names directly, while reducers with a single input will prefix the output name with the input band name (e.g. '10_mean', '20_mean', etc.).

Reducers with weighted inputs can have the input weight based on the input mask, the kernel value, or the smaller of those two.

Usage	Returns
Image.reduceNeighborhood(reducer, kernel, inputWeight, skipMasked, optimization)	Image

Argument	Type	Details
this: image	Image	The input image.
reducer	Reducer	The reducer to apply to pixels within the neighborhood.
kernel	Kernel	The kernel defining the neighborhood.
inputWeight	String, default: "kernel"	One of 'mask', 'kernel', or 'min'.
skipMasked	Boolean, default: true	Mask output pixels if the corresponding input pixel is masked.
optimization	String, default: null	Optimization strategy. Options are 'boxcar' and 'window'. The 'boxcar' method is a fast method for computing count, sum or mean. It requires a homogeneous kernel, a single-input reducer and either MASK, KERNEL or no weighting. The 'window' method uses a running window, and has the same requirements as 'boxcar', but can use any single input reducer. Both methods require considerable additional memory.

ee.Image.reduceRegion

Apply a reducer to all the pixels in a specific region.

Either the reducer must have the same number of inputs as the input image has bands, or it must have a single input and will be repeated for each band.

Returns a dictionary of the reducer's outputs.

Usage	Returns
Image.reduceRegion(reducer, geometry, scale, crs, crsTransform, bestEffort, maxPixels, tileScale)	Dictionary

Argument	Type	Details
this: image	Image	The image to reduce.
reducer	Reducer	The reducer to apply.
geometry	Geometry, default: null	The region over which to reduce data. Defaults to the footprint of the image's first band.
scale	Float, default: null	A nominal scale in meters of the projection to work in.
crs	Projection, default: null	The projection to work in. If unspecified, the projection of the image's first band is used. If specified in addition to scale, rescaled to the specified scale.
crsTransform	List, default: null	The list of CRS transform values. This is a row-major ordering of the 3x2 transform matrix. This option is mutually exclusive with 'scale', and replaces any transform already set on the projection.
bestEffort	Boolean, default: false	If the polygon would contain too many pixels at the given scale, compute and use a larger scale which would allow the operation to succeed.
maxPixels	Long, default: 10000000	The maximum number of pixels to reduce.
tileScale	Float, default: 1	A scaling factor used to reduce aggregation tile size; using a larger tileScale (e.g. 2 or 4) may enable computations that run out of memory with the default.

ee.Image.reduceRegions

Apply a reducer over the area of each feature in the given collection.

The reducer must have the same number of inputs as the input image has bands.

Returns the input features, each augmented with the corresponding reducer outputs.

Usage	Returns
Image.reduceRegions(collection, reducer, scale, crs, crsTransform, tileScale)	FeatureCollection

Argument	Type	Details
this: image	Image	The image to reduce.
collection	FeatureCollection	The features to reduce over.
reducer	Reducer	The reducer to apply.
scale	Float, default: null	A nominal scale in meters of the projection to work in.
crs	Projection, default: null	The projection to work in. If unspecified, the projection of the image's first band is used. If specified in addition to scale, rescaled to the specified scale.
crsTransform	List, default: null	The list of CRS transform values. This is a row-major ordering of the 3x2 transform matrix. This option is mutually exclusive with 'scale', and will replace any transform already set on the projection.
tileScale	Float, default: 1	A scaling factor used to reduce aggregation tile size; using a larger tileScale (e.g. 2 or 4) may enable computations that run out of memory with the default.

ee.Image.reduceResolution

Enables reprojection using the given reducer to combine all input pixels corresponding to each output pixel. If the reducer has a single input, it will be applied separately to each band of the collection; otherwise it must have the same number of inputs as the input image has bands.

The reducer output names determine the names of the output bands: reducers with multiple inputs will use the output names directly, reducers with a single input and single output will preserve the input band names, and reducers with a single input and multiple outputs will prefix the output name with the input band name (e.g. '10_mean', '10_stdDev', '20_mean', '20_stdDev', etc.).

Reducer input weights will be the product of the input mask and the fraction of the output pixel covered by the input pixel.

Usage	Returns
Image.reduceResolution(reducer, bestEffort, maxPixels)	Image

Argument	Type	Details
this: image	Image	The input image.
reducer	Reducer	The reducer to apply to be used for combining pixels.
bestEffort	Boolean, default: false	If using the input at its default resolution would require too many pixels, start with already-reduced input pixels from a pyramid level that allows the operation to succeed.
maxPixels	Integer, default: 64	The maximum number of input pixels to combine for each output pixel. Setting this too large will cause out-of-memory problems.

ee.Image.reduceToVectors

Convert an image to a feature collection by reducing homogenous regions. Given an image containing a band of labeled segments and zero or more additional bands, runs a reducer over the pixels in each segment producing a feature per segment.

Either the reducer must have one fewer inputs than the image has bands, or it must have a single input and will be repeated for each band.

Usage	Returns
Image.reduceToVectors(reducer, geometry, scale, geometryType, eightConnected, labelProperty, crs, crsTransform, bestEffort, maxPixels, tileScale, geometryInNativeProjection)	FeatureCollection

Argument	Type	Details
this: image	Image	The input image. The first band is expected to be an integer type; adjacent pixels will be in the same segment if they have the same value in this band.
reducer	Reducer, default: null	The reducer to apply. Its inputs will be taken from the image's bands after dropping the first band. Defaults to Reducer.countEvery()
geometry	Geometry, default: null	The region over which to reduce data. Defaults to the footprint of the image's first band.
scale	Float, default: null	A nominal scale in meters of the projection to work in.
geometryType	String, default: "polygon"	How to choose the geometry of each generated feature; one of 'polygon' (a polygon enclosing the pixels in the segment), 'bb' (a rectangle bounding the pixels), or 'centroid' (the centroid of the pixels).
eightConnected	Boolean, default: true	If true, diagonally-connected pixels are considered adjacent; otherwise only pixels that share an edge are.
labelProperty	String, default: "label"	If non-null, the value of the first band will be saved as the specified property of each feature.
crs	Projection, default: null	The projection to work in. If unspecified, the projection of the image's first band is used. If specified in addition to scale, rescaled to the specified scale.
crsTransform	List, default: null	The list of CRS transform values. This is a row-major ordering of the 3x2 transform matrix. This option is mutually exclusive with 'scale', and replaces any transform already set on the projection.
bestEffort	Boolean, default: false	If the polygon would contain too many pixels at the given scale, compute and use a larger scale which would allow the operation to succeed.
maxPixels	Long, default: 10000000	The maximum number of pixels to reduce.
tileScale	Float, default: 1	A scaling factor used to reduce aggregation tile size; using a larger tileScale (e.g. 2 or 4) may enable computations that run out of memory with the default.
geometryInNativeProjection	Boolean, default: false	Create geometries in the pixel projection, rather than WGS84.

ee.Image.regexpRename

Renames the bands of an image by applying a regular expression replacement to the current band names. Any bands not matched by the regex will be copied over without renaming.

Usage	Returns
Image.regexpRename(regex, replacement, all)	Image

Argument	Type	Details
this: input	Image	The image containing the bands to rename.
regex	String	A regular expression to match in each band name.
replacement	String	The text with which to replace each match. Supports $n syntax for captured values.
all	Boolean, default: true	If true, all matches in a given string will be replaced. Otherwise, only the first match in each string will be replaced.

ee.Image.register

Registers an image to a reference image while allowing local, rubber sheet deformations. Displacements are computed in the CRS of the reference image, at a scale dictated by the lowest resolution of the following three projections: input image projection, reference image projection, and requested projection. The displacements then applied to the input image to register it with the reference.

Usage	Returns
Image.register(referenceImage, maxOffset, patchWidth, stiffness)	Image

Argument	Type	Details
this: image	Image	The image to register.
referenceImage	Image	The image to register to.
maxOffset	Float	The maximum offset allowed when attempting to align the input images, in meters. Using a smaller value can reduce computation time significantly, but it must still be large enough to cover the greatest displacement within the entire image region.
patchWidth	Float, default: null	Patch size for detecting image offsets, in meters. This should be set large enough to capture texture, as well as large enough that ignorable objects are small within the patch. Default is null. Patch size will be determined automatically if notprovided.
stiffness	Float, default: 5	Enforces a stiffness constraint on the solution. Valid values are in the range [0,10]. The stiffness is used for outlier rejection when determining displacements at adjacent grid points. Higher values move the solution towards a rigid transformation. Lower values allow more distortion or warping of the image during registration.

ee.Image.remap

Maps from input values to output values, represented by two parallel lists. Any input values not included in the input list are either set to defaultValue if it is given, or masked if it isn't. Note that inputs containing floating point values might sometimes fail to match due to floating point precision errors.

Usage	Returns
Image.remap(from, to, defaultValue, bandName)	Image

Argument	Type	Details
this: image	Image	The image to which the remapping is applied.
from	List	The source values (numbers or EEArrays). All values in this list will be mapped to the corresponding value in 'to'.
to	List	The destination values (numbers or EEArrays). These are used to replace the corresponding values in 'from'. Must have the same number of values as 'from'.
defaultValue	Object, default: null	The default value to replace values that weren't matched by a value in 'from'. If not specified, unmatched values are masked out.
bandName	String, default: null	The name of the band to remap. If not specified, the first band in the image is used.

ee.Image.rename

Rename the bands of an image.

Returns the renamed image.

Usage	Returns
Image.rename(var_args)	Image

Argument	Type	Details
this: image	Image	The Image instance.
var_args	List	The new names for the bands. Must match the number of bands in the Image.

ee.Image.reproject

Force an image to be computed in a given projection and resolution.

Usage	Returns
Image.reproject(crs, crsTransform, scale)	Image

Argument	Type	Details
this: image	Image	The Image to reproject.
crs	Projection	The CRS to project the image to.
crsTransform	List, default: null	The list of CRS transform values. This is a row-major ordering of the 3x2 transform matrix. This option is mutually exclusive with the scale option, and replaces any transform already on the projection.
scale	Float, default: null	If scale is specified, then the projection is scaled by dividing the specified scale value by the nominal size of a meter in the specified projection. If scale is not specified, then the scale of the given projection will be used.

ee.Image.resample

An algorithm that returns an image identical to its argument, but which uses bilinear or bicubic interpolation (rather than the default nearest-neighbor) to compute pixels in projections other than its native projection or other levels of the same image pyramid.

This relies on the input image's default projection being meaningful, and so cannot be used on composites, for example. (Instead, you should resample the images that are used to create the composite.)

Usage	Returns
Image.resample(mode)	Image

Argument	Type	Details
this: image	Image	The Image to resample.
mode	String, default: "bilinear"	The interpolation mode to use. One of 'bilinear' or 'bicubic'.)

ee.Image.rgb

Create a 3-band image specifically for visualization. This uses the first band in each image.

Returns the combined image.

Usage	Returns
ee.Image.rgb(r, g, b)	Image

Argument	Type	Details
r	Image	The red image.
g	Image	The green image.
b	Image	The blue image.

ee.Image.rgbToHsv

Transforms the image from the RGB color space to the HSV color space. Produces three bands: hue, saturation and value, all floating point values in the range [0, 1].

Usage	Returns
Image.rgbToHsv()	Image

Argument	Type	Details
this: image	Image	The image to transform.

ee.Image.rightShift

Calculates the signed right shift of v1 by v2 bits for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.rightShift(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.right_shift

Calculates the signed right shift of v1 by v2 bits for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.right_shift(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.round

Computes the integer nearest to the input.

Usage	Returns
Image.round()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.rsedTransform

Computes the 2D maximal height surface created by placing an inverted parabola over each non-zero pixel of the input image, where the pixel's value is the height of the parabola. Viewed as a binary image (zero/not-zero) this is equivalent to buffering each non-zero input pixel by the square root of its value, in pixels.

Usage	Returns
Image.rsedTransform(neighborhood, units)	Image

Argument	Type	Details
this: image	Image	The input image.
neighborhood	Integer, default: 256	Neighborhood size in pixels.
units	String, default: "pixels"	The units of the neighborhood, currently only 'pixels' are supported.

ee.Image.sample

Samples the pixels of an image, returning them as a FeatureCollection. Each feature will have 1 property per band in the input image. Note that the default behavior is to drop features that intersect masked pixels, which result in null-valued properties (see dropNulls argument).

Usage	Returns
Image.sample(region, scale, projection, factor, numPixels, seed, dropNulls, tileScale, geometries)	FeatureCollection

Argument	Type	Details
this: image	Image	The image to sample.
region	Geometry, default: null	The region to sample from. If unspecified, uses the image's whole footprint.
scale	Float, default: null	A nominal scale in meters of the projection to sample in.
projection	Projection, default: null	The projection in which to sample. If unspecified, the projection of the image's first band is used. If specified in addition to scale, rescaled to the specified scale.
factor	Float, default: null	A subsampling factor, within (0, 1]. If specified, 'numPixels' must not be specified. Defaults to no subsampling.
numPixels	Long, default: null	The approximate number of pixels to sample. If specified, 'factor' must not be specified.
seed	Integer, default: 0	A randomization seed to use for subsampling.
dropNulls	Boolean, default: true	Post filter the result to drop features that have null-valued properties.
tileScale	Float, default: 1	A scaling factor used to reduce aggregation tile size; using a larger tileScale (e.g. 2 or 4) may enable computations that run out of memory with the default.
geometries	Boolean, default: false	If true, adds the center of the sampled pixel as the geometry property of the output feature. Otherwise, geometries will be omitted (saving memory).

ee.Image.sampleRegions

Samples the pixels of an image in one or more regions, returning them as a FeatureCollection. Each output feature will have 1 property per band in the input image, as well as any specified properties copied from the input feature. Note that geometries will be snapped to pixel centers.

Usage	Returns
Image.sampleRegions(collection, properties, scale, projection, tileScale, geometries)	FeatureCollection

Argument	Type	Details
this: image	Image	The image to sample.
collection	FeatureCollection	The regions to sample over.
properties	List, default: null	The list of properties to copy from each input feature. Defaults to all non-system properties.
scale	Float, default: null	A nominal scale in meters of the projection to sample in. If unspecified,the scale of the image's first band is used.
projection	Projection, default: null	The projection in which to sample. If unspecified, the projection of the image's first band is used. If specified in addition to scale, rescaled to the specified scale.
tileScale	Float, default: 1	A scaling factor used to reduce aggregation tile size; using a larger tileScale (e.g. 2 or 4) may enable computations that run out of memory with the default.
geometries	Boolean, default: false	If true, the results will include a geometry per sampled pixel. Otherwise, geometries will be omitted (saving memory).

ee.Image.select

Selects bands from an image.

Returns an image with the selected bands.

Usage	Returns
Image.select(var_args)	Image

Argument	Type	Details
this: image	Image	The Image instance.
var_args	VarArgs	One of two possibilities:   - Any number of non-list arguments. All of these will be interpreted as band selectors. These can be band names, regexes, or numeric indices. E.g. selected = image.select('a', 'b', 3, 'd');   - Two lists. The first will be used as band selectors and the second as new names for the selected bands. The number of new names must match the number of selected bands. E.g. selected = image.select(['a', 4], ['newA', 'newB']);

ee.Image.selfMask

Updates an image's mask at all positions where the existing mask is not zero using the value of the image as the new mask value. The output image retains the metadata and footprint of the input image.

Usage	Returns
Image.selfMask()	Image

Argument	Type	Details
this: image	Image	The image to mask with itself.

ee.Image.serialize

Returns the serialized representation of this object.

Usage	Returns
Image.serialize()	String

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.

ee.Image.set

Overrides one or more metadata properties of an Element.

Returns the element with the specified properties overridden.

Usage	Returns
Image.set(var_args)	Element

Argument	Type	Details
this: element	Element	The Element instance.
var_args	VarArgs	Either a dictionary of properties, or a vararg sequence of properties, e.g. key1, value1, key2, value2, ...

ee.Image.setDefaultProjection

Set a default projection to be applied to this image. The projection's resolution may be overridden by later operations.

Usage	Returns
Image.setDefaultProjection(crs, crsTransform, scale)	Image

Argument	Type	Details
this: image	Image	The Image to reproject.
crs	Projection	The CRS to project the image to.
crsTransform	List, default: null	The list of CRS transform values. This is a row-major ordering of the 3x2 transform matrix. This option is mutually exclusive with the scale option, and replaces any transform already on the projection.
scale	Float, default: null	If scale is specified, then the projection is scaled by dividing the specified scale value by the nominal size of a meter in the specified projection. If scale is not specified, then the scale of the given projection will be used.

ee.Image.setMulti

Overrides one or more metadata properties of an object.

Usage	Returns
Image.setMulti(properties)	Element

Argument	Type	Details
this: object	Element	The object whose properties to override.
properties	Dictionary	The property values to override.

ee.Image.short

Casts the input value to a signed 16-bit integer.

Usage	Returns
Image.short()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.sin

Computes the sine of the input in radians.

Usage	Returns
Image.sin()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.sinh

Computes the hyperbolic sine of the input.

Usage	Returns
Image.sinh()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.sldStyle

Styles a raster input with the provided OGC SLD styling.

Points of note:

 * OGC SLD 1.0 and OGC SE 1.1 are supported.

 * The XML document passed in can be complete, or just the SldRasterSymbolizer element and down.

 * Exactly one SldRasterSymbolizer is required.

 * Bands may be selected by their proper EarthEngine names or using numeric identifiers ("1", "2", ...). Proper EarthEngine names are tried first.

 * The Histogram and Normalize contrast stretch mechanisms are supported.

 * The type="values", type="intervals" and type="ramp" attributes for ColorMap element in SLD 1.0 (GeoServer extensions) are

   supported.

 * Opacity is only taken into account when it is 0.0 (transparent). Non-zero opacity values are treated as completely opaque.

 * The OverlapBehavior definition is currently ignored.

 * The ShadedRelief mechanism is not currently supported.

 * The ImageOutline mechanism is not currently supported.

 * The Geometry element is ignored.

The output image will have histogram_bandname metadata if histogram equalization or normalization is requested.

Usage	Returns
Image.sldStyle(sldXml)	Image

Argument	Type	Details
this: input	Image	The image to rendering using the SLD.
sldXml	String	The OGC SLD 1.0 or 1.1 document (or fragment).

ee.Image.slice

Selects a contiguous group of bands from an image by position.

Usage	Returns
Image.slice(start, end)	Image

Argument	Type	Details
this: image	Image	The image from which to select bands.
start	Integer	Where to start the selection. Negative numbers select from the end, counting backwards.
end	Integer, default: null	Where to end the selection. If omitted, selects all bands from the start position to the end.

ee.Image.spectralDilation

Computes the spectral/spatial dilation of an image by computing the spectral distance of each pixel under a structuring kernel from the centroid of all pixels under the kernel and taking the most distant result. See 'Spatial/spectral endmember extraction by multidimensional morphological operations.' IEEE transactions on geoscience and remote sensing 40.9 (2002): 2025-2041.

Usage	Returns
Image.spectralDilation(metric, kernel, useCentroid)	Image

Argument	Type	Details
this: image	Image	The input image.
metric	String, default: "sam"	The spectral distance metric to use. One of 'sam' (spectral angle mapper), 'sid' (spectral information divergence), 'sed' (squared euclidean distance), or 'emd' (earth movers distance).
kernel	Kernel, default: null	Connectedness kernel. Defaults to a square of radius 1 (8-way connected).
useCentroid	Boolean, default: false	If true, distances are computed from the mean of all pixels under the kernel instead of the kernel's center pixel.

ee.Image.spectralDistance

Computes the per-pixel spectral distance between two images. If the images are array based then only the first band of each image is used; otherwise all bands are involved in the distance computation. The two images are therefore expected to contain the same number of bands or have the same 1-dimensional array length.

Usage	Returns
Image.spectralDistance(image2, metric)	Image

Argument	Type	Details
this: image1	Image	The first image.
image2	Image	The second image.
metric	String, default: "sam"	The spectral distance metric to use. One of 'sam' (spectral angle mapper), 'sid' (spectral information divergence), 'sed' (squared euclidean distance), or 'emd' (earth movers distance).

ee.Image.spectralErosion

Computes the spectral/spatial erosion of an image by computing the spectral distance of each pixel under a structuring kernel from the centroid of all pixels under the kernel and taking the closest result. See 'Spatial/spectral endmember extraction by multidimensional morphological operations.' IEEE transactions on geoscience and remote sensing 40.9 (2002): 2025-2041.

Usage	Returns
Image.spectralErosion(metric, kernel, useCentroid)	Image

Argument	Type	Details
this: image	Image	The input image.
metric	String, default: "sam"	The spectral distance metric to use. One of 'sam' (spectral angle mapper), 'sid' (spectral information divergence), 'sed' (squared euclidean distance), or 'emd' (earth movers distance).
kernel	Kernel, default: null	Connectedness kernel. Defaults to a square of radius 1 (8-way connected).
useCentroid	Boolean, default: false	If true, distances are computed from the mean of all pixels under the kernel instead of the kernel's center pixel.

ee.Image.spectralGradient

Computes the spectral gradient over all bands of an image (or the first band if the image is Array typed) by computing the per-pixel difference between the spectral erosion and dilation with a given structuring kernel and distance metric. See: Plaza, Antonio, et al. 'Spatial/spectral endmember extraction by multidimensional morphological operations.' IEEE transactions on geoscience and remote sensing 40.9 (2002): 2025-2041.

Usage	Returns
Image.spectralGradient(metric, kernel, useCentroid)	Image

Argument	Type	Details
this: image	Image	The input image.
metric	String, default: "sam"	The spectral distance metric to use. One of 'sam' (spectral angle mapper), 'sid' (spectral information divergence), 'sed' (squared euclidean distance), or 'emd' (earth movers distance).
kernel	Kernel, default: null	Connectedness kernel. Defaults to a square of radius 1 (8-way connected).
useCentroid	Boolean, default: false	If true, distances are computed from the mean of all pixels under the kernel instead of the kernel's center pixel.

ee.Image.sqrt

Computes the square root of the input.

Usage	Returns
Image.sqrt()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.stratifiedSample

Extracts a stratified random sample of points from an image. Extracts the specified number of samples for each distinct value discovered within the 'classBand'. Returns a FeatureCollection of 1 Feature per extracted point, with each feature having 1 property per band in the input image. If there are less than the specified number of samples available for a given class value, then all of the points for that class will be included. Requires that the classBand contain integer values.

Usage	Returns
Image.stratifiedSample(numPoints, classBand, region, scale, projection, seed, classValues, classPoints, dropNulls, tileScale, geometries)	FeatureCollection

Argument	Type	Details
this: image	Image	The image to sample.
numPoints	Integer	The default number of points to sample in each class. Can be overridden for specific classes using the 'classValues' and 'classPoints' properties.
classBand	String, default: null	The name of the band containing the classes to use for stratification. If unspecified, the first band of the input image is used.
region	Geometry, default: null	The region to sample from. If unspecified, the input image's whole footprint is used.
scale	Float, default: null	A nominal scale in meters of the projection to sample in. Defaults to the scale of the first band of the input image.
projection	Projection, default: null	The projection in which to sample. If unspecified, the projection of the input image's first band is used. If specified in addition to scale, rescaled to the specified scale.
seed	Integer, default: 0	A randomization seed to use for subsampling.
classValues	List, default: null	A list of class values for which to override the numPixels parameter. Must be the same size as classPoints or null.
classPoints	List, default: null	A list of the per-class maximum number of pixels to sample for each class in the classValues list. Must be the same size as classValues or null.
dropNulls	Boolean, default: true	Skip pixels in which any band is masked.
tileScale	Float, default: 1	A scaling factor used to reduce aggregation tile size; using a larger tileScale (e.g. 2 or 4) may enable computations that run out of memory with the default.
geometries	Boolean, default: false	If true, the results will include a geometry per sampled pixel. Otherwise, geometries will be omitted (saving memory).

ee.Image.subtract

Subtracts the second value from the first for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.

Usage	Returns
Image.subtract(image2)	Image

Argument	Type	Details
this: image1	Image	The image from which the left operand bands are taken.
image2	Image	The image from which the right operand bands are taken.

ee.Image.tan

Computes the tangent of the input in radians.

Usage	Returns
Image.tan()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.tanh

Computes the hyperbolic tangent of the input.

Usage	Returns
Image.tanh()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.toArray

Concatenates pixels from each band into a single array per pixel. The result will be masked if any input bands are masked.

Usage	Returns
Image.toArray(axis)	Image

Argument	Type	Details
this: image	Image	Image of bands to convert to an array per pixel. Bands must have scalar pixels, or array pixels with equal dimensionality.
axis	Integer, default: 0	Axis to concatenate along; must be at least 0 and at most the dimension of the inputs. If the axis equals the dimension of the inputs, the result will have 1 more dimension than the inputs.

ee.Image.toByte

Casts the input value to an unsigned 8-bit integer.

Usage	Returns
Image.toByte()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.toDictionary

Extract properties from a feature as a dictionary.

Usage	Returns
Image.toDictionary(properties)	Dictionary

Argument	Type	Details
this: element	Element	The feature to extract the property from.
properties	List, default: null	The list of properties to extract. Defaults to all non-system properties.

ee.Image.toDouble

Casts the input value to a 64-bit float.

Usage	Returns
Image.toDouble()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.toFloat

Casts the input value to a 32-bit float.

Usage	Returns
Image.toFloat()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.toInt

Casts the input value to a signed 32-bit integer.

Usage	Returns
Image.toInt()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.toInt16

Casts the input value to a signed 16-bit integer.

Usage	Returns
Image.toInt16()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.toInt32

Casts the input value to a signed 32-bit integer.

Usage	Returns
Image.toInt32()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.toInt64

Casts the input value to a signed 64-bit integer.

Usage	Returns
Image.toInt64()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.toInt8

Casts the input value to a signed 8-bit integer.

Usage	Returns
Image.toInt8()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.toLong

Casts the input value to a signed 64-bit integer.

Usage	Returns
Image.toLong()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.toShort

Casts the input value to a signed 16-bit integer.

Usage	Returns
Image.toShort()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.toUint16

Casts the input value to an unsigned 16-bit integer.

Usage	Returns
Image.toUint16()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.toUint32

Casts the input value to an unsigned 32-bit integer.

Usage	Returns
Image.toUint32()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.toUint8

Casts the input value to an unsigned 8-bit integer.

Usage	Returns
Image.toUint8()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.translate

Translate the input image.

Usage	Returns
Image.translate(x, y, units, proj)	Image

Argument	Type	Details
this: input	Image
x	Float
y	Float
units	String, default: "meters"	The units for x and y; "meters" or "pixels".
proj	Projection, default: null	The projection in which to translate the image; defaults to the projection of the first band.

ee.Image.trigamma

Computes the trigamma function of the input.

Usage	Returns
Image.trigamma()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.uint16

Casts the input value to an unsigned 16-bit integer.

Usage	Returns
Image.uint16()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.uint32

Casts the input value to an unsigned 32-bit integer.

Usage	Returns
Image.uint32()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.uint8

Casts the input value to an unsigned 8-bit integer.

Usage	Returns
Image.uint8()	Image

Argument	Type	Details
this: value	Image	The image to which the operation is applied.

ee.Image.unitScale

Scales the input so that the range of input values [low, high] becomes [0, 1]. Values outside the range are NOT clamped. This algorithm always produces floating point pixels.

Usage	Returns
Image.unitScale(low, high)	Image

Argument	Type	Details
this: input	Image	The image to scale.
low	Float	The value mapped to 0.
high	Float	The value mapped to 1.

ee.Image.unmask

Replaces mask and value of the input image with the mask and value of another image at all positions where the input mask is zero. The output image retains the metadata of the input image. By default, the output image also retains the footprint of the input, but setting sameFootprint to false allows to extend the footprint.

Usage	Returns
Image.unmask(value, sameFootprint)	Image

Argument	Type	Details
this: input	Image	Input image.
value	Image, default: null	New value and mask for the masked pixels of the input image. If not specified, defaults to constant zero image which is valid everywhere.
sameFootprint	Boolean, default: true	If true (or unspecified), the output retains the footprint of the input image. If false, the footprint of the output is the union of the input footprint with the footprint of the value image.

ee.Image.unmix

Unmix each pixel with the given endmembers, by computing the pseudo-inverse and multiplying it through each pixel. Returns an image of doubles with the same number of bands as endmembers.

Usage	Returns
Image.unmix(endmembers, sumToOne, nonNegative)	Image

Argument	Type	Details
this: image	Image	The input image.
endmembers	List	The endmembers to unmix with.
sumToOne	Boolean, default: false	Constrain the outputs to sum to one.
nonNegative	Boolean, default: false	Constrain the outputs to be non-negative.

ee.Image.updateMask

Updates an image's mask at all positions where the existing mask is not zero. The output image retains the metadata and footprint of the input image.

Usage	Returns
Image.updateMask(mask)	Image

Argument	Type	Details
this: image	Image	Input image.
mask	Image	New mask for the image, as a floating-point value in the range [0, 1] (invalid = 0, valid = 1). If this image has a single band, it is used for all bands in the input image; otherwise, must have the same number of bands as the input image.

ee.Image.visualize

Produces an RGB or grayscale visualization of an image. Each of the gain, bias, min, max and gamma arguments can take either a single value, which will be applied to all bands, or a list of values the same length as bands.

Usage	Returns
Image.visualize(bands, gain, bias, min, max, gamma, opacity, palette, forceRgbOutput)	Image

Argument	Type	Details
this: image	Image	The image to visualize.
bands	Object, default: null	A list of the bands to visualize. If empty, the first 3 are used.
gain	Object, default: null	The visualization gain(s) to use.
bias	Object, default: null	The visualization bias(es) to use.
min	Object, default: null	The value(s) to map to RGB8 value 0.
max	Object, default: null	The value(s) to map to RGB8 value 255.
gamma	Object, default: null	The gamma correction factor(s) to use.
opacity	Number, default: null	The opacity scaling factor to use.
palette	Object, default: null	The color palette to use. List of CSS color identifiers or hexadecimal color strings (e.g. ['red', '00FF00', 'bluevlolet']).
forceRgbOutput	Boolean, default: false	Whether to produce RGB output even for single-band inputs.

ee.Image.where

Performs conditional replacement of values.

For each pixel in each band of 'input', if the corresponding pixel in 'test' is nonzero, output the corresponding pixel in value, otherwise output the input pixel.

If at a given pixel, either test or value is masked, the input value is used. If the input is masked, nothing is done.

The output bands have the same names as the input bands. The output type of each band is the larger of the input and value types. The output image retains the metadata and footprint of the input image.

Usage	Returns
Image.where(test, value)	Image

Argument	Type	Details
this: input	Image	The input image.
test	Image	The test image. The pixels of this image determines which of the input pixels is returned. If this is a single band, it is used for all bands in the input image. This may not be an array image.
value	Image	The output value to use where test is not zero. If this is a single band, it is used for all bands in the input image.

ee.Image.zeroCrossing

Finds zero-crossings on each band of an image.

Usage	Returns
Image.zeroCrossing()	Image

Argument	Type	Details
this: image	Image	The image from which to compute zero crossings.

ee.ImageCollection

ImageCollections can be constructed from the following arguments:

  - A string: assumed to be the name of a collection,

  - A list of images, or anything that can be used to construct an image.

  - A single image.

  - A computed object - reinterpreted as a collection.

Usage	Returns
ee.ImageCollection(args)	ImageCollection

Argument	Type	Details
args	ComputedObject|Image|List	The constructor arguments.

ee.ImageCollection.aggregate_array

Aggregates over a given property of the objects in a collection, calculating a list of all the values of the selected property.

Usage	Returns
ImageCollection.aggregate_array(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_count

Aggregates over a given property of the objects in a collection, calculating the number of non-null values of the property.

Usage	Returns
ImageCollection.aggregate_count(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_count_distinct

Aggregates over a given property of the objects in a collection, calculating the number of distinct values for the selected property.

Usage	Returns
ImageCollection.aggregate_count_distinct(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_first

Aggregates over a given property of the objects in a collection, calculating the property value of the first object in the collection.

Usage	Returns
ImageCollection.aggregate_first(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_histogram

Aggregates over a given property of the objects in a collection, calculating a histogram of the selected property.

Usage	Returns
ImageCollection.aggregate_histogram(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_max

Aggregates over a given property of the objects in a collection, calculating the maximum of the values of the selected property.

Usage	Returns
ImageCollection.aggregate_max(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_mean

Aggregates over a given property of the objects in a collection, calculating the mean of the selected property.

Usage	Returns
ImageCollection.aggregate_mean(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_min

Aggregates over a given property of the objects in a collection, calculating the minimum of the values of the selected property.

Usage	Returns
ImageCollection.aggregate_min(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_product

Aggregates over a given property of the objects in a collection, calculating the product of the values of the selected property.

Usage	Returns
ImageCollection.aggregate_product(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_sample_sd

Aggregates over a given property of the objects in a collection, calculating the sample std. deviation of the values of the selected property.

Usage	Returns
ImageCollection.aggregate_sample_sd(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_sample_var

Aggregates over a given property of the objects in a collection, calculating the sample variance of the values of the selected property.

Usage	Returns
ImageCollection.aggregate_sample_var(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_stats

Aggregates over a given property of the objects in a collection, calculating the sum, min, max, mean, sample standard deviation, sample variance, total standard deviation and total variance of the selected property.

Usage	Returns
ImageCollection.aggregate_stats(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_sum

Aggregates over a given property of the objects in a collection, calculating the sum of the values of the selected property.

Usage	Returns
ImageCollection.aggregate_sum(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_total_sd

Aggregates over a given property of the objects in a collection, calculating the total std. deviation of the values of the selected property.

Usage	Returns
ImageCollection.aggregate_total_sd(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.aggregate_total_var

Aggregates over a given property of the objects in a collection, calculating the total variance of the values of the selected property.

Usage	Returns
ImageCollection.aggregate_total_var(property)	Object

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

ee.ImageCollection.and

Reduces an image collection by setting each pixel to 1 iff all the non-masked values at that pixel are non-zero across the stack of all matching bands. Bands are matched by name.

Usage	Returns
ImageCollection.and()	Image

Argument	Type	Details
this: collection	ImageCollection	The image collection to reduce.

ee.ImageCollection.aside

Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:

var c = ee.ImageCollection('foo').aside(print)

.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')

.filterBounds(geom).aside(print, 'In region')

.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')

.select('a', 'b');

Returns the same object, for chaining.

Usage	Returns
ImageCollection.aside(func, var_args)	ComputedObject

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
func	Function	The function to call.
var_args	VarArgs	Any extra arguments to pass to the function.

ee.ImageCollection.cast

Casts some or all bands of each image in an ImageCollection to the specified types.

Usage	Returns
ImageCollection.cast(bandTypes, bandOrder)	ImageCollection

Argument	Type	Details
this: collection	ImageCollection	The image collection to cast.
bandTypes	Dictionary	A dictionary from band name to band types. Types can be PixelTypes or strings. The valid strings are: 'int8', 'int16', 'int32', 'int64', 'uint8', 'uint16', 'uint32', 'byte', 'short', 'int', 'long', 'float' and 'double'. Must include all bands already in any image in the collection. If this includes bands that are not already in an input image, they will be added to the image as transparent bands.
bandOrder	List	A list specifying the order of the bands in the result.Must match the keys of bandTypes.

ee.ImageCollection.combine

Makes a new collection that is a copy of the images in primary, adding all the bands from the image in secondary with a matching ID. If there's no matching image, the primary image is just copied. This is equivalent to a join on ID with merging of the bands of the result.

Note that this algorithm assumes that for a matching pair of inputs, both have the same footprint and metadata.

Usage	Returns
ImageCollection.combine(secondary, overwrite)	ImageCollection

Argument	Type	Details
this: primary	ImageCollection	The primary collection to join.
secondary	ImageCollection	The secondary collection to join.
overwrite	Boolean, default: false	If true, bands with the same name will get overwritten. If false, bands with the same name will be renamed.

ee.ImageCollection.copyProperties

Copies metadata properties from one element to another.

Usage	Returns
ImageCollection.copyProperties(source, properties, exclude)	Element

Argument	Type	Details
this: destination	Element, default: null	The object whose properties to override.
source	Element, default: null	The object from which to copy the properties.
properties	List, default: null	The properties to copy. If omitted, all ordinary (i.e. non-system) properties are copied.
exclude	List, default: null	The list of properties to exclude when copying all properties. Must not be specified if properties is.

ee.ImageCollection.count

Reduces an image collection by calculating the number of images with a valid mask at each pixel across the stack of all matching bands. Bands are matched by name.

Usage	Returns
ImageCollection.count()	Image

Argument	Type	Details
this: collection	ImageCollection	The image collection to reduce.

ee.ImageCollection.distance

Produces a DOUBLE image where each pixel is the distance in meters from the pixel center to the nearest Point, LineString, or polygonal boundary in the collection. Note distance is also measured within interiors of polygons. Pixels that are not within 'searchRadius' meters of a geometry will be masked out.

Distances are computed on a sphere, so there is a small error proportional to the latitude difference between each pixel and the nearest geometry.

Usage	Returns
ImageCollection.distance(searchRadius, maxError)	Image

Argument	Type	Details
this: features	FeatureCollection	Feature collection from which to get features used to compute pixel distances.
searchRadius	Float, default: 100000	Maximum distance in meters from each pixel to look for edges. Pixels will be masked unless there are edges within this distance.
maxError	Float, default: 100	Maximum reprojection error in meters, only used if the input polylines require reprojection. If '0' is provided, then this operation will fail if projection is required.

ee.ImageCollection.distinct

Removes duplicates from a collection. Note that duplicates are determined using a strong hash over the serialized form of the selected properties.

Usage	Returns
ImageCollection.distinct(properties)	FeatureCollection

Argument	Type	Details
this: collection	FeatureCollection	The input collection from which objects will be selected.
properties	Object	A property name or a list of property names to use for comparison. The '.geo' property can be included to compare object geometries.

ee.ImageCollection.draw

Paints a vector collection for visualization. Not intended for use as input to other algorithms.

Usage	Returns
ImageCollection.draw(color, pointRadius, strokeWidth)	Image

Argument	Type	Details
this: collection	FeatureCollection	The collection to draw.
color	String	A hex string in the format RRGGBB specifying the color to use for drawing the features.
pointRadius	Integer, default: 3	The radius in pixels of the point markers.
strokeWidth	Integer, default: 2	The width in pixels of lines and polygon borders.

ee.ImageCollection.errorMatrix

Computes a 2D error matrix for a collection by comparing two columns of a collection: one containing the actual values, and one containing predicted values.The values are expected to be small contiguous integers, starting from 0. Axis 0 (the rows) of the matrix correspond to the actual values, and Axis 1 (the columns) to the predicted values.

Usage	Returns
ImageCollection.errorMatrix(actual, predicted, order)	ConfusionMatrix

Argument	Type	Details
this: collection	FeatureCollection	The input collection.
actual	String	The name of the property containing the actual value.
predicted	String	The name of the property containing the predicted value.
order	List, default: null	A list of the expected values. If this argument is not specified, the values are assumed to be contiguous and span the range 0 to maxValue. If specified, only values matching this list are used, and the matrix will have dimensions and order matching the this list.

ee.ImageCollection.evaluate

Asynchronously retrieves the value of this object from the server and passes it to the provided callback function.

Usage	Returns
ImageCollection.evaluate(callback)

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.
callback	Function	A function of the form function(success, failure), called when the server returns an answer. If the request succeeded, the success argument contains the evaluated result. If the request failed, the failure argument will contains an error message.

ee.ImageCollection.filter

Apply a filter to this collection.

Returns the filtered collection.

Usage	Returns
ImageCollection.filter(filter)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
filter	Filter	A filter to apply to this collection.

ee.ImageCollection.filterBounds

Shortcut to filter a collection by geometry. Items in the collection with a footprint that fails to intersect the bounds will be excluded when the collection is evaluated.

This is equivalent to this.filter(ee.Filter.bounds(...)).

Returns the filtered collection.

Usage	Returns
ImageCollection.filterBounds(geometry)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
geometry	Feature|Geometry	The geometry to filter to.

ee.ImageCollection.filterDate

Shortcut to filter a collection by a date range. Items in the collection with a time_start property that doesn't fall between the start and end dates will be excluded.

This is equivalent to this.filter(ee.Filter.date(...)).

Returns the filtered collection.

Usage	Returns
ImageCollection.filterDate(start, end)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
start	Date|Number|String	The start date as a Date object, a string representation of a date, or milliseconds since epoch.
end	Date|Number|String, optional	The end date as a Date object, a string representation of a date, or milliseconds since epoch.

ee.ImageCollection.filterMetadata

Shortcuts to filter a collection by metadata. This is equivalent to this.filter(ee.Filter.metadata(...)).

Returns the filtered collection.

Usage	Returns
ImageCollection.filterMetadata(name, operator, value)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
name	String	The name of a property to filter.
operator	String	The name of a comparison operator. Possible values are: "equals", "less_than", "greater_than", "not_equals", "not_less_than", "not_greater_than", "starts_with", "ends_with", "not_starts_with", "not_ends_with", "contains", "not_contains".
value	Object	- The value to compare against.

ee.ImageCollection.first

Returns the first entry from a given collection.

Usage	Returns
ImageCollection.first()	Image

Argument	Type	Details
this: imagecollection	ImageCollection	The ImageCollection instance.

ee.ImageCollection.flatten

Flattens collections of collections.

Usage	Returns
ImageCollection.flatten()	FeatureCollection

Argument	Type	Details
this: collection	FeatureCollection	The input collection of collections.

ee.ImageCollection.formaTrend

Computes the long and short term trends of a time series or optionally, the trends of the ratio of the time series and a covariate. The long term trend is estimated from the linear term of a regression on the full time series. The short term trend is computed as the windowed minimum over the time series.

The time series and covariate series are expected to contain a single band each, and the time series is expected to be evenly spaced in time. The output is 4 float bands: the long and short term trends, the t-test of the long term trend against the time series, and the Bruce Hansen test of parameter stability.

Usage	Returns
ImageCollection.formaTrend(covariates, windowSize)	Image

Argument	Type	Details
this: timeSeries	ImageCollection	Collection from which to extract trends.
covariates	ImageCollection, default: null	Cofactors to use in the trend analysis.
windowSize	Integer, default: 6	Short term trend analysis window size, in images.

ee.ImageCollection.fromImages

Returns the image collection containing the given images.

Usage	Returns
ee.ImageCollection.fromImages(images)	ImageCollection

Argument	Type	Details
images	List	The images to include in the collection.

ee.ImageCollection.geometry

Extracts and merges the geometries of a collection. Requires that all the geometries in the collection share the projection and edge interpretation.

Usage	Returns
ImageCollection.geometry(maxError)	Geometry

Argument	Type	Details
this: collection	FeatureCollection	The collection whose geometries will be extracted.
maxError	ErrorMargin, optional	An error margin to use when merging geometries.

ee.ImageCollection.get

Extract a property from a feature.

Usage	Returns
ImageCollection.get(property)

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.ImageCollection.getArray

Extract a property from a feature.

Usage	Returns
ImageCollection.getArray(property)	Array

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.ImageCollection.getFilmstripThumbURL

Get the URL of a tiled thumbnail for this ImageCollection.

Returns a thumbnail URL, or undefined if a callback was specified.

Usage	Returns
ImageCollection.getFilmstripThumbURL(params, callback)	Object|String

Argument	Type	Details
this: imagecollection	ImageCollection	The ImageCollection instance.
params	Object	Parameters identical to ee.data.getMapId, plus, optionally:   - dimensions (a number or pair of numbers in format WIDTHxHEIGHT) Maximum dimensions of each thumbnail frame to render, in pixels. If only one number is passed, it is used as the maximum, and the other dimension is computed by proportional scaling.   - region (E,S,W,N or GeoJSON) Geospatial region of the image to render. By default, the whole image.   - format (string) Encoding format. Only 'png' or 'jpg' are accepted.
callback	Function, optional	An optional callback which handles the resulting URL string. If not supplied, the call is made synchronously.

ee.ImageCollection.getInfo

An imperative function that returns all the known information about this collection via an AJAX call.

Returns a collection description whose fields include:

  - features: a list containing metadata about the images in the collection.

  - bands: a dictionary describing the bands of the images in this collection.

  - properties: an optional dictionary containing the collection's metadata properties.

Usage	Returns
ImageCollection.getInfo(callback)	ImageCollectionDescription

Argument	Type	Details
this: imagecollection	ImageCollection	The ImageCollection instance.
callback	Function, optional	An optional callback. If not supplied, the call is made synchronously. If supplied, will be called with the first parameter if successful and the second if unsuccessful.

ee.ImageCollection.getMap

An imperative function that returns a mapid via a synchronous AJAX call.

This mosaics the collection to a single image and return a mapid suitable for building a Google Maps overlay.

Returns returns a mapid and token, or undefined if a callback was specified.

Usage	Returns
ImageCollection.getMap(visParams, callback)	MapId|Object

Argument	Type	Details
this: imagecollection	ImageCollection	The ImageCollection instance.
visParams	Object, optional	The visualization parameters.
callback	Function, optional	An async callback. If not supplied, the call is made synchronously.

ee.ImageCollection.getNumber

Extract a property from a feature.

Usage	Returns
ImageCollection.getNumber(property)	Number

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.ImageCollection.getRegion

Output an array of values for each [pixel, band, image] tuple in an ImageCollection. The output contains rows of id, lon, lat, time, and all bands for each image that intersects each pixel in the given region.

Usage	Returns
ImageCollection.getRegion(geometry, scale, crs, crsTransform)	List

Argument	Type	Details
this: collection	ImageCollection	The image collection to extract data from.
geometry	Geometry	The region over which to extract data.
scale	Float, default: null	A nominal scale in meters of the projection to work in.
crs	Projection, optional	The projection to work in. If unspecified, defaults to EPSG:4326. If specified in addition to scale, the projection is rescaled to the specified scale.
crsTransform	List, default: null	The array of CRS transform values. This is a row-major ordering of a 3x2 affine transform. This option is mutually exclusive with the scale option, and will replace any transform already set on the given projection.

ee.ImageCollection.getString

Extract a property from a feature.

Usage	Returns
ImageCollection.getString(property)	String

Argument	Type	Details
this: object	Element	The feature to extract the property from.
property	String	The property to extract.

ee.ImageCollection.getVideoThumbURL

Get the URL of an animated thumbnail for this ImageCollection.

Returns a thumbnail URL, or undefined if a callback was specified.

Usage	Returns
ImageCollection.getVideoThumbURL(params, callback)	Object|String

Argument	Type	Details
this: imagecollection	ImageCollection	The ImageCollection instance.
params	Object	Parameters identical to ee.data.getMapId, plus, optionally:   - dimensions (a number or pair of numbers in format WIDTHxHEIGHT) Maximum dimensions of the thumbnail to render, in pixels. If only one number is passed, it is used as the maximum, and the other dimension is computed by proportional scaling.   - region (E,S,W,N or GeoJSON) Geospatial region of the image to render. By default, the whole image.   - format (string) Encoding format. Only 'gif' is accepted.   - framesPerSecond (number) Animation speed.
callback	Function, optional	An optional callback which handles the resulting URL string. If not supplied, the call is made synchronously.

ee.ImageCollection.iterate

Applies a user-supplied function to each element of a collection. The user-supplied function is given two arguments: the current element, and the value returned by the previous call to iterate() or the first argument, for the first iteration. The result is the value returned by the final call to the user-supplied function.

Returns the result of the Collection.iterate() call.

Usage	Returns
ImageCollection.iterate(algorithm, first)	ComputedObject

Argument	Type	Details
this: collection	Collection	The Collection instance.
algorithm	Function	The function to apply to each element. Must take two arguments: an element of the collection and the value from the previous iteration.
first	Object, optional	The initial state.

ee.ImageCollection.limit

Limit a collection to the specified number of elements, optionally sorting them by a specified property first.

Returns the limited collection.

Usage	Returns
ImageCollection.limit(max, property, ascending)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
max	Number	The number to limit the collection to.
property	String, optional	The property to sort by, if sorting.
ascending	Boolean, optional	Whether to sort in ascending or descending order. The default is true (ascending).

ee.ImageCollection.load

Returns the image collection given its ID.

Usage	Returns
ee.ImageCollection.load(id, version)	ImageCollection

Argument	Type	Details
id	String	The asset ID of the image collection.
version	Long, default: null	The version of the asset. -1 signifies the latest version.

ee.ImageCollection.map

Maps an algorithm over a collection.

Returns the mapped collection.

Usage	Returns
ImageCollection.map(algorithm, dropNulls)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
algorithm	Function	The operation to map over the images or features of the collection. A JavaScript function that receives an image or features and returns one. The function is called only once and the result is captured as a description, so it cannot perform imperative operations or rely on external state.
dropNulls	Boolean, optional	If true, the mapped algorithm is allowed to return nulls, and the elements for which it returns nulls will be dropped.

ee.ImageCollection.max

Reduces an image collection by calculating the maximum value of each pixel across the stack of all matching bands. Bands are matched by name.

Usage	Returns
ImageCollection.max()	Image

Argument	Type	Details
this: collection	ImageCollection	The image collection to reduce.

ee.ImageCollection.mean

Reduces an image collection by calculating the mean of all values at each pixel across the stack of all matching bands. Bands are matched by name.

Usage	Returns
ImageCollection.mean()	Image

Argument	Type	Details
this: collection	ImageCollection	The image collection to reduce.

ee.ImageCollection.median

Reduces an image collection by calculating the median of all values at each pixel across the stack of all matching bands. Bands are matched by name.

Usage	Returns
ImageCollection.median()	Image

Argument	Type	Details
this: collection	ImageCollection	The image collection to reduce.

ee.ImageCollection.merge

Merges two image collections into one. The result has all the images that were in either collection.

Usage	Returns
ImageCollection.merge(collection2)	ImageCollection

Argument	Type	Details
this: collection1	ImageCollection	The first collection to merge.
collection2	ImageCollection	The second collection to merge.

ee.ImageCollection.min

Reduces an image collection by calculating the minimum value of each pixel across the stack of all matching bands. Bands are matched by name.

Usage	Returns
ImageCollection.min()	Image

Argument	Type	Details
this: collection	ImageCollection	The image collection to reduce.

ee.ImageCollection.mode

Reduces an image collection by calculating the most common value at each pixel across the stack of all matching bands. Bands are matched by name.

Usage	Returns
ImageCollection.mode()	Image

Argument	Type	Details
this: collection	ImageCollection	The image collection to reduce.

ee.ImageCollection.mosaic

Composites all the images in a collection, using the mask.

Usage	Returns
ImageCollection.mosaic()	Image

Argument	Type	Details
this: collection	ImageCollection	The collection to mosaic.

ee.ImageCollection.or

Reduces an image collection by setting each pixel to 1 iff any of the non-masked values at that pixel are non-zero across the stack of all matching bands. Bands are matched by name.

Usage	Returns
ImageCollection.or()	Image

Argument	Type	Details
this: collection	ImageCollection	The image collection to reduce.

ee.ImageCollection.product

Reduces an image collection by calculating the product of all values at each pixel across the stack of all matching bands. Bands are matched by name.

Usage	Returns
ImageCollection.product()	Image

Argument	Type	Details
this: collection	ImageCollection	The image collection to reduce.

ee.ImageCollection.propertyNames

Returns the names of properties on this element.

Usage	Returns
ImageCollection.propertyNames()	List

Argument	Type	Details
this: element	Element

ee.ImageCollection.qualityMosaic

Composites all the images in a collection, using a quality band as a per-pixel ordering function.

Usage	Returns
ImageCollection.qualityMosaic(qualityBand)	Image

Argument	Type	Details
this: collection	ImageCollection	The collection to mosaic.
qualityBand	String	The name of the quality band in the collection.

ee.ImageCollection.randomColumn

Adds a column of deterministic pseudorandom numbers to a collection. The numbers are double-precision floating point numbers in the range 0.0 (inclusive) to 1.0 (exclusive).

Usage	Returns
ImageCollection.randomColumn(columnName, seed)	FeatureCollection

Argument	Type	Details
this: collection	FeatureCollection	The input collection to which to add a random column.
columnName	String, default: "random"	The name of the column to add.
seed	Long, default: 0	A seed used when generating the random numbers.

ee.ImageCollection.reduce

Applies a reducer across all of the images in a collection.

If the reducer has a single input, it will be applied separately to each band of the collection; otherwise it must have the same number of inputs as the collection has bands.

The reducer output names determine the names of the output bands: reducers with multiple inputs will use the output names directly, while reducers with a single input will prefix the output name with the input band name (e.g. '10_mean', '20_mean', etc.).

Usage	Returns
ImageCollection.reduce(reducer, parallelScale)	Image

Argument	Type	Details
this: collection	ImageCollection	The image collection to reduce.
reducer	Reducer	The reducer to apply to the given collection.
parallelScale	Float, default: 1	A scaling factor used to limit memory use; using a larger parallelScale (e.g. 2 or 4) may enable computations that run out of memory with the default.

ee.ImageCollection.reduceColumns

Apply a reducer to each element of a collection, using the given selectors to determine the inputs.

Returns a dictionary of results, keyed with the output names.

Usage	Returns
ImageCollection.reduceColumns(reducer, selectors, weightSelectors)	Dictionary

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
reducer	Reducer	The reducer to apply.
selectors	List	A selector for each input of the reducer.
weightSelectors	List, default: null	A selector for each weighted input of the reducer.

ee.ImageCollection.reduceToImage

Creates an image from a feature collection by applying a reducer over the selected properties of all the features that intersect each pixel.

Usage	Returns
ImageCollection.reduceToImage(properties, reducer)	Image

Argument	Type	Details
this: collection	FeatureCollection	Feature collection to intersect with each output pixel.
properties	List	Properties to select from each feature and pass into the reducer.
reducer	Reducer	A Reducer to combine the properties of each intersecting feature into a final result to store in the pixel.

ee.ImageCollection.remap

Remaps the value of a specific property in a collection. Takes two parallel lists and maps values found in one to values in the other. Any element with a value that is not specified in the first list is dropped from the output collection.

Usage	Returns
ImageCollection.remap(lookupIn, lookupOut, columnName)	FeatureCollection

Argument	Type	Details
this: collection	FeatureCollection	The collection to be modified.
lookupIn	List	The input mapping values. Restricted to strings and integers.
lookupOut	List	The output mapping values. Must be the same size as lookupIn.
columnName	String	The name of the property to remap.

ee.ImageCollection.select

Select bands from each image in a collection.

Returns the image collection with selected bands.

Usage	Returns
ImageCollection.select(selectors, names)	ImageCollection

Argument	Type	Details
this: imagecollection	ImageCollection	The ImageCollection instance.
selectors	List	A list of names, regexes or numeric indices specifying the bands to select.
names	List, optional	A list of new names for the output bands. Must match the number of bands selected.

ee.ImageCollection.serialize

Returns the serialized representation of this object.

Usage	Returns
ImageCollection.serialize()	String

Argument	Type	Details
this: computedobject	ComputedObject	The ComputedObject instance.

ee.ImageCollection.set

Overrides one or more metadata properties of an Element.

Returns the element with the specified properties overridden.

Usage	Returns
ImageCollection.set(var_args)	Element

Argument	Type	Details
this: element	Element	The Element instance.
var_args	VarArgs	Either a dictionary of properties, or a vararg sequence of properties, e.g. key1, value1, key2, value2, ...

ee.ImageCollection.setMulti

Overrides one or more metadata properties of an object.

Usage	Returns
ImageCollection.setMulti(properties)	Element

Argument	Type	Details
this: object	Element	The object whose properties to override.
properties	Dictionary	The property values to override.

ee.ImageCollection.size

Returns the number of elements in the collection.

Usage	Returns
ImageCollection.size()	Integer

Argument	Type	Details
this: collection	FeatureCollection	The collection to count.

ee.ImageCollection.sort

Sort a collection by the specified property.

Returns the sorted collection.

Usage	Returns
ImageCollection.sort(property, ascending)	Collection

Argument	Type	Details
this: collection	Collection	The Collection instance.
property	String	The property to sort by.
ascending	Boolean, optional	Whether to sort in ascending or descending order. The default is true (ascending).

ee.ImageCollection.style

Draw a vector collection for visualization using a simple style language.

Usage	Returns
ImageCollection.style(color, pointSize, pointShape, width, fillColor, styleProperty, neighborhood)	Image

Argument	Type	Details
this: collection	FeatureCollection	The collection to draw.
color	String, default: "black"	A default color (CSS 3.0 color value e.g. 'FF0000' or 'red') to use for drawing the features. Supports opacity (e.g.: 'FF000088' for 50% transparent red).
pointSize	Integer, default: 3	The default size in pixels of the point markers.
pointShape	String, default: "circle"	The default shape of the marker to draw at each point location. One of: circle, square, diamond, cross, plus, pentagram, hexagram, triangle, triangle_up triangle_down, triangle_left, triangle_right, pentagon, hexagon, star5, star6. This argument also supports the following Matlab marker abbreviations: o, s, d, x, +, p, h, ^, v, <, >.
width	Float, default: 2	The default line width for lines and outlines for polygons and point shapes.
fillColor	String, default: null	The color for filling polygons and point shapes. Defaults to 'color' at 0.66 opacity.
styleProperty	String, default: null	A per-feature property expected to contain a dictionary. Values in the dictionary override any default values for that feature.
neighborhood	Integer, default: 5	If styleProperty is used and any feature has a pointSize or width larger than the defaults, tiling artifacts can occur. Specifies the maximum neighborhood (pointSize + width) needed for any feature.

ee.ImageCollection.sum

Reduces an image collection by calculating the sum of all values at each pixel across the stack of all matching bands. Bands are matched by name.

Usage	Returns
ImageCollection.sum()	Image

Argument	Type	Details
this: collection	ImageCollection	The image collection to reduce.

ee.ImageCollection.toArray

Converts an image collection into an image of 2D arrays. At each pixel, the images that have valid (unmasked) values in all bands are laid out along the first axis of the array in the order they appear in the image collection. The bands of each image are laid out along the second axis of the array, in the order the bands appear in that image. The array element type will be the union of the types of each band.

Usage	Returns
ImageCollection.toArray()	Image

Argument	Type	Details
this: collection	ImageCollection	Image collection to convert to an array image. Bands must have scalar values, not array values.

ee.ImageCollection.toArrayPerBand

Concatenates multiple images into a single array image. The result will be masked if any input is masked.

Usage	Returns
ImageCollection.toArrayPerBand(axis)	Image

Argument	Type	Details
this: collection	ImageCollection	Images to concatenate. A separate concatenation is done per band, so all the images must have the same dimensionality and shape per band, except length along the concatenation axis.
axis	Integer, default: 0	Axis to concatenate along; must be at least 0 and at most the minimum dimension of any band in the collection.

ee.ImageCollection.toBands

Converts a collection to a single multi-band image containing all of the bands of every image in the collection. Output bands are named by prefixing the existing band names with the image id from which it came (e.g.: 'image1_band1')

Usage	Returns
ImageCollection.toBands()	Image

Argument	Type	Details
this: collection	ImageCollection	The input collection.

ee.ImageCollection.toDictionary

Extract properties from a feature as a dictionary.

Usage	Returns
ImageCollection.toDictionary(properties)	Dictionary

Argument	Type	Details
this: element	Element	The feature to extract the property from.
properties	List, default: null	The list of properties to extract. Defaults to all non-system properties.

ee.ImageCollection.toList

Returns the elements of a collection as a list.

Usage	Returns
ImageCollection.toList(count, offset)	List

Argument	Type	Details
this: collection	FeatureCollection	The input collection to fetch.
count	Integer	The maximum number of elements to fetch.
offset	Integer, default: 0	The number of elements to discard from the start. If set, (offset + count) elements will be fetched and the first offset elements will be discarded.

ee.ImageCollection.union

Merges all geometries in a given collection into one and returns a collection containing a single feature with only an ID of 'union_result' and a geometry.

Usage	Returns
ImageCollection.union(maxError)	FeatureCollection

Argument	Type	Details
this: collection	FeatureCollection	The collection being merged.
maxError	ErrorMargin, default: null	The maximum error allowed when performing any necessary reprojections. If not specified, defaults to the error margin requested from the output.

ee.Join.apply

Joins two collections.

Usage	Returns
Join.apply(primary, secondary, condition)	FeatureCollection

Argument	Type	Details
this: join	Join	The join to apply; determines how the the results are constructed.
primary	FeatureCollection	The primary collection.
secondary	FeatureCollection	The secondary collection.
condition	Filter	The join condition used to select the matches from the two collections.

ee.Join.inner

Returns a join that pairs elements from the primary collection with matching elements from the secondary collection. Each result has a 'primary' property that contains the element from the primary collection, and a 'secondary' property containing the matching element from the secondary collection. If measureKey is specified, the join measure is also attached to the object as a property.

Usage	Returns
ee.Join.inner(primaryKey, secondaryKey, measureKey)	Join

Argument	Type	Details
primaryKey	String, default: "primary"	The property name used to save the primary match.
secondaryKey	String, default: "secondary"	The property name used to save the secondary match.
measureKey	String, default: null	An optional property name used to save the measure of the join condition.

ee.Join.inverted

Returns a join that produces the elements of the primary collection that match no elements of the secondary collection. No properties are added to the results.

Usage	Returns
ee.Join.inverted()	Join

No arguments.

ee.Join.saveAll

Returns a join that pairs each element from the first collection with a group of matching elements from the second collection. The list of matches is added to each result as an additional property. If measureKey is specified, each match has the value of its join measure attached. Join measures are produced when withinDistance or maxDifference filters are used as the join condition.

Usage	Returns
ee.Join.saveAll(matchesKey, ordering, ascending, measureKey)	Join

Argument	Type	Details
matchesKey	String	The property name used to save the matches list.
ordering	String, default: null	The property on which to sort the matches list.
ascending	Boolean, default: true	Whether the ordering is ascending.
measureKey	String, default: null	An optional property name used to save the measure of the join condition on each match.

ee.Join.saveBest

Returns a join that pairs each element from the first collection with a matching element from the second collection. The match with the best join measure is added to each result as an additional property. Join measures are produced when withinDistance or maxDifference filters are used as the join condition.

Usage	Returns
ee.Join.saveBest(matchKey, measureKey)	Join

Argument	Type	Details
matchKey	String	The key used to save the match.
measureKey	String	The key used to save the measure of the join condition on the match.

ee.Join.saveFirst

Returns a join that pairs each element from the first collection with a matching element from the second collection. The first match is added to the result as an additional property.

Usage	Returns
ee.Join.saveFirst(matchKey, ordering, ascending, measureKey)	Join

Argument	Type	Details
matchKey	String	The property name used to save the match.
ordering	String, default: null	The property on which to sort the matches before selecting the first.
ascending	Boolean, default: true	Whether the ordering is ascending.
measureKey	String, default: null	An optional property name used to save the measure of the join condition on the match.

ee.Join.simple

Returns a join that produces the elements of the primary collection that match any element of the secondary collection. No properties are added to the results.

Usage	Returns
ee.Join.simple()	Join

No arguments.

ee.Kernel.add

Adds two kernels (pointwise), after aligning their centers.

Usage	Returns
Kernel.add(kernel2, normalize)	Kernel

Argument	Type	Details
this: kernel1	Kernel	The first kernel.
kernel2	Kernel	The second kernel.
normalize	Boolean, default: false	Normalize the kernel.

ee.Kernel.chebyshev

Generates a distance kernel based on Chebyshev distance (greatest distance along any dimension).

Usage	Returns
ee.Kernel.chebyshev(radius, units, normalize, magnitude)	Kernel

Argument	Type	Details
radius	Float	The radius of the kernel to generate.
units	String, default: "pixels"	The system of measurement for the kernel ('pixels' or 'meters'). If the kernel is specified in meters, it will resize when the zoom-level is changed.
normalize	Boolean, default: false	Normalize the kernel values to sum to 1.
magnitude	Float, default: 1	Scale each value by this amount.

ee.Kernel.circle

Generates a circle-shaped boolean kernel.

Usage	Returns
ee.Kernel.circle