An open source library and framework for deep learning on satellite and aerial imagery.
Appears on
Quick read
Latest capture 2026-10-16 09:41
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
9 observed captures since 2026-05-23. Observed captures are shown by default.
Stars from first capture +23
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Geospatial Raster support for Spark DataFrames
Rasterio reads and writes geospatial raster datasets
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
GeoAI: Artificial Intelligence for Geospatial Data
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
R Bindings to GDAL (Geospatial Data Abstraction Library)
