This Python package and extensions are a number of tools for programming and manipulating the GDAL Geospatial Data Abstraction Library. Generally speaking the classes and methods mostly match those of ...

Raster point extraction is I/O bound: reading and decompressing tiles from disk or network is the bottleneck, not the arithmetic of classifying points to tiles or indexing values. Parallelizing tile ...

Recently, I played with the global 30-m land-cover data of GLC_FCS30-2020. The data are grouped by 948 5X5 degrees regional tiles in the GeoTIFF format, which are ...