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.

UsageReturns
Image.reduceToVectors(reducer, geometry, scale, geometryType, eightConnected, labelProperty, crs, crsTransform, bestEffort, maxPixels, tileScale, geometryInNativeProjection)FeatureCollection
ArgumentTypeDetails
this: imageImage

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.

reducerReducer, 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()

geometryGeometry, default: null

The region over which to reduce data. Defaults to the footprint of the image's first band.

scaleFloat, default: null

A nominal scale in meters of the projection to work in.

geometryTypeString, 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).

eightConnectedBoolean, default: true

If true, diagonally-connected pixels are considered adjacent; otherwise only pixels that share an edge are.

labelPropertyString, default: "label"

If non-null, the value of the first band will be saved as the specified property of each feature.

crsProjection, 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.

crsTransformList, 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.

bestEffortBoolean, 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.

maxPixelsLong, default: 10000000

The maximum number of pixels to reduce.

tileScaleFloat, 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.

geometryInNativeProjectionBoolean, default: false

Create geometries in the pixel projection, rather than WGS84.

Examples

JavaScript

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Python

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