Techniques for deep learning with satellite & aerial imagery
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GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A fast, free and open-source GIS in pure Rust.
An open source library and framework for deep learning on satellite and aerial imagery.
GRASS - free and open-source geospatial processing engine
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
framework for large-scale SAR satellite data processing