An open source library and framework for deep learning on satellite and aerial imagery.
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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.
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
- 3d-city-model
- 3d-tiles
- geospatial
- gis
Command line tools for processing and uploading Mapillary imagery
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