An open source library and framework for deep learning on satellite and aerial imagery.
Repository Index
47,133 repositories indexed
1–10 of 10 · Most stars
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
Train a deep learning net with OpenStreetMap features and satellite imagery.
GRASS - free and open-source geospatial processing engine
- grass-gis
- geospatial
- geospatial-analysis
- raster
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
- 3d-city-model
- 3d-tiles
- geospatial
- gis
Open source remote sensing dataset with benchmarks
A simple yet highly configurable Mastodon bot that posts geotagged aerial imagery of a random location in the world.
Automated mapping of pedestrian networks from aerial imagery tiles
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
- source-energy-balance
- canopy
- soil
- radiometric-temperatures
Sentinel-2 for Agriculture (Sen2Agri) is a software system processing high resolution satellite images for agricultural purposes funded by ESA (European Space Agency). Please register on the Sen2Agri webpage for Sen2Agri system updates and information.
- otb
- esa
- gdal
- agricultural