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
Train a deep learning net with OpenStreetMap features and satellite imagery.
GRASS - free and open-source geospatial processing engine
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
Command line tools for processing and uploading Mapillary imagery
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.
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
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.
🛰 An index of aerial and satellite imagery useful for mapping
Drag an image onto a map, trace the paths you need, and export as geojson to use in your application 🖼 ➡️ 🗺
Ruby library for generating images from GeoJSON
A Go project to explore the math to calculate and present data in a map using the `Web Mercator Projection`