TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
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A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
- artificial-intelligence
- deep-learning
- machine-learning
- segmentation
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
- google-earth-engine
- gis
- remote-sensing
- image-processing
GeoAI: Artificial Intelligence for Geospatial Data
- ai
- data-science
- geoai
- geopython
GlobalBuildingAtlas: an open global and complete dataset of building polygons, heights and LoD1 3D models
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
Interactive interface for browsing global, full-resolution satellite imagery
- satellite-imagery
- data-visualization
- web-mapping
- nasa
Earth observation processing framework for machine learning in Python
- machine-learning
- eo-data
- eo-research
- python-package
Python package for earth-observing satellite data processing
- python
- satellite
- weather
- hacktoberfest
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
framework for large-scale SAR satellite data processing
- radar
- sar
- gdal
- spatialite
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
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