Techniques for deep learning with satellite & aerial imagery
- deep-learning
- deep-neural-networks
- satellite-imagery
- pytorch
Repository Index
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GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
- raster
- geospatial-data
- vector
- remote-sensing
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
- google-earth-engine
- gis
- remote-sensing
- image-processing
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
- grass-gis
- geospatial
- geospatial-analysis
- raster
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
- agriculture
- ai
- geospatial
- geospatial-analytics
framework for large-scale SAR satellite data processing
- radar
- sar
- gdal
- spatialite