📊📉Selection of Python libraries for working with spatial data
Earth Engine API - allows you to access Google Earth Engine's vast collection of geospatial data and perform analysis tasks using Python.
TorchGeo (PyTorch) - Provides tools and utilities for working with geospatial data in PyTorch.
Arcpy (Esri) is a Python library provided by Esri for working with geospatial data on ArcGIS platform. It allows you to automate geoprocessing tasks and perform spatial analysis.
Rasterio is a library for reading and writing geospatial raster datasets. It provides efficient access to raster data and allows you to perform various operations with geodata.
GDAL (Open-Source Geospatial Foundation) is a powerful library for reading, writing and manipulating geospatial raster and vector data formats.
Shapely is a library for geometric operations in Python. It allows you to create, manipulate and analyze geometric objects.
RSGISLib - has functions for processing thermal images, including radiometric correction, earth surface temperature estimation.
WhiteboxTools is a library for geospatial analysis and data processing. It offers a complete set of tools for tasks such as terrain analysis, hydrological modeling and LiDAR data processing.