A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
- point-cloud
- photogrammetry
- drone
- uas
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An open source library and framework for deep learning on satellite and aerial imagery.
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
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
- agriculture
- ai
- geospatial
- geospatial-analytics
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
- 3d-city-model
- 3d-tiles
- geospatial
- gis
Upload your own aerial images, position (rubbersheet) them in a web interface over existing map data, and share via web or composite and export for print.
- hacktoberfest
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.
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