TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
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A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
- google-earth-engine
- gis
- remote-sensing
- image-processing
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
Worldwide building footprints derived from satellite imagery
Interactive interface for browsing global, full-resolution satellite imagery
- satellite-imagery
- data-visualization
- web-mapping
- nasa
Download real-time images of Earth from the Himawari-8 satellite
- himawari
- earth
- space
- japan
Train a deep learning net with OpenStreetMap features and satellite imagery.
Python package for earth-observing satellite data processing
- python
- satellite
- weather
- hacktoberfest
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
- 3d-city-model
- 3d-tiles
- geospatial
- gis
framework for large-scale SAR satellite data processing
- radar
- sar
- gdal
- spatialite
A simple yet highly configurable Mastodon bot that posts geotagged aerial imagery of a random location in the world.
Watched.earth - see every public satellite image of earth
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