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 numPoints 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).