Dual-pol scattering power components for GRD (powers_dp_grd)#

polsartools.powers_dp_grd(cpFile, xpFile, method=1, win=1, fmt='tif', cog=False, ovr=[2, 4, 8, 16], comp=False, max_workers=None, block_size=(512, 512), progress_callback=None)[source]

This function computes the scattering power components for GRD (only intensity no phase) dual-pol SAR data (decomposition/factorization based approach)

Examples

>>> # Basic usage with default parameters
>>> powers_dp_grd("/path/to/copol_file.tif", "/path/to/crosspol_file.tif")

>>> # Advanced usage with custom parameters
>>> powers_dp_grd(
...     cpFile="/path/to/copol_file.tif",
...     xpFile="/path/to/crosspol_file.tif",
...     method=2,
...     win=3,
...     fmt="tif",
...     cog=True,
...     block_size=(1024, 1024)
... )
Parameters:

  • cpFile (str) – Path to the co-polarized backscatter (linear) SAR raster file.

  • xpFile (str) – Path to the cross-polarized backscatter (linear) SAR raster file.

  • method (int) – 1: Decomposition based powers 2: Factorisation based powers

  • win (int, default=1) – Size of the spatial averaging window. Larger windows reduce speckle noise but decrease spatial resolution.

  • fmt ({'tif', 'bin'}, default='tif') – Output file format: - ‘tif’: GeoTIFF format with georeferencing information - ‘bin’: Raw binary format

  • cog (bool, default=False) – If True, creates a Cloud Optimized GeoTIFF (COG) with internal tiling and overviews for efficient web access.

  • ovr (list[int], default=[2, 4, 8, 16]) – Overview levels for COG creation. Each number represents the decimation factor for that overview level.

  • comp (bool, default=False) – If True, applies LZW compression to the output GeoTIFF files.

  • max_workers (int | None, default=None) – Maximum number of parallel processing workers. If None, uses CPU count - 1 workers.

  • block_size (tuple[int, int], default=(512, 512)) – Size of processing blocks (rows, cols) for parallel computation. Larger blocks use more memory but may be more efficient.

Return type:

None

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