Item Statistics

STAC Collection Identifier

STAC Item Identifier

The API version to use for this operation.

Dataset band indexes

Asset's names.

Band math expression between assets

Per asset band indexes (coma separated indexes, e.g. "image|1,2,3" means use the bands 1, 2, and 3 from the asset named "image")

Asset as Band

Overwrite internal Nodata value

Apply internal Scale or Offset

WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.

Resampling method.

Maximum dimension in pixels for the source data used to calculate statistics

Return statistics for categorical dataset.

List of pixel categorical values for which to report counts.

List of percentile values (default to [2, 98]).

Defines the number of equal-width bins in the given range (10, by default).

If bins is a sequence (comma , delimited values), it defines a monotonically increasing array of bin edges, including the rightmost edge, allowing for non-uniform bin widths.

link: https://numpy.org/doc/stable/reference/generated/numpy.histogram.html

Comma , delimited range of the bins.

The lower and upper range of the bins. If not provided, range is simply (a.min(), a.max()).

Values outside the range are ignored. The first element of the range must be less than or equal to the second. range affects the automatic bin computation as well.

link: https://numpy.org/doc/stable/reference/generated/numpy.histogram.html

The name of a subdataset within the asset.

The index of a subdataset band within the asset.

Coordinate Reference System.

Datetime to use for subsetting the asset.

Xarray Indexing using dimension names {dimension}={value}.

Xarray indexing method to use for inexact matches.

Algorithm name.

Algorithm parameter.

Force output image height.

Force output image width.