RasterProcessing

class eolab.georastertools.processing.rasterproc.RasterProcessing(name: str, algo: Callable | None = None, nodata: float | None = None, dtype: dtype | None = None, in_dtype: dtype | None = None, compress: str | None = None, nbits: int = False, per_band_algo: bool = False)

Bases: object

Defines a processing algorithm for raster image data.

This class allows users to define custom processing operations on raster data by specifying an algorithm, data types, compression, and other parameters.

Attributes

RasterProcessing.algo	Process an algo that is called on a multidimensional array of data
RasterProcessing.aliases	Aliases of the processing
RasterProcessing.arguments	Definition of Arguments that parametrize the processing algorithm (see with_arguments for the description of the data structure)
RasterProcessing.compress	Set the compression to use
RasterProcessing.description	Long description of the processing
RasterProcessing.dtype	Type of the generated data
RasterProcessing.help	Help message of the processing
RasterProcessing.in_dtype	Type of the processed data
RasterProcessing.name	Name of the processing
RasterProcessing.nbits	Bits size of the generated data
RasterProcessing.nodata	No data value of the generated data
RasterProcessing.per_band_algo	Whether the algo is applied on a dataset that contains only one band (per_band_algo=True) or on a dataset with all bands (per_band_algo=False)

Methods

RasterProcessing.__init__(name[, algo, ...])	Constructor
RasterProcessing.compute(input_data)	Compute the output from the different bands of the input data.
RasterProcessing.configure(argsdict)	Configure the processing algo with its specific arguments' values
RasterProcessing.with_arguments(arguments)	Add new arguments that parametrize the processing algorithm.
RasterProcessing.with_documentation([...])	Set up the documentation for the processing