Datasets for deep learning with satellite & aerial imagery
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Updated
Jun 4, 2024
Datasets for deep learning with satellite & aerial imagery
Techniques for deep learning with satellite & aerial imagery
A list of open geospatial datasets on AWS
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
A list of geospatial datasets on NASA's Common Metadata Repository (CMR)
A comprehensive list of NASA Earth science data products
Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
ResonantGeoData WATCH Deployment
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Interactive interface for browsing global, full-resolution satellite imagery
Earth Observation Data Access Gateway
EOxServer is a Python application and framework for presenting Earth Observation (EO) data and metadata.
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
A toolbox for easily searching, downloading & processing remote sensing imagery from various public sources.
EO4EU tutorial at IGARSS 2024
Download wildfire hotspots detected by NASA satellites and the Fire Information for Resource Management System (FIRMS)
A python package that extends Google Earth Engine.
🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium
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