Techniques for deep learning with satellite & aerial imagery

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Long list of geospatial tools and resources

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

GeoAI: Artificial Intelligence for Geospatial Data

An open source library and framework for deep learning on satellite and aerial imagery.

A comprehensive and up-to-date compilation of datasets, tools, methods, review papers, and competitions for remote sensing change detection.

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery

A curated list of Google Earth Engine resources

An advanced geospatial data analysis platform

Community Datasets added by users and made available for use at large

Datasets for deep learning with satellite & aerial imagery

GRASS - free and open-source geospatial processing engine

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Search and download Copernicus Sentinel satellite images

A collection of 300+ Python examples for using Google Earth Engine in QGIS