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

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

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

TorchGeo: datasets, samplers, transforms, and pre-trained models 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

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

Datasets for deep learning with satellite & aerial imagery

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

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

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.