A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
- google-earth-engine
- gis
- remote-sensing
- image-processing
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A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
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
Earth observation processing framework for machine learning in Python
Python package for earth-observing satellite data processing
GRASS - free and open-source geospatial processing engine
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
framework for large-scale SAR satellite data processing
Crop Yield Prediction with Deep Learning
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.
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
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.