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
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
Train a deep learning net with OpenStreetMap features and satellite imagery.
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
framework for large-scale SAR satellite data processing
- radar
- sar
- gdal
- spatialite
Crop Yield Prediction with Deep Learning
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
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