Techniques for deep learning with satellite & aerial imagery

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

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

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

Satellite imagery for dummies.

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

Search and download Copernicus Sentinel satellite images

Download and process satellite imagery in Python using Sentinel Hub services.

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

SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable

Interactive interface for browsing global, full-resolution satellite imagery

interactive notebooks from Planet Engineering

TernausNetV2: Fully Convolutional Network for Instance Segmentation

curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data

A curated list of resources focused on Machine Learning in Geospatial Data Science.

A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index

Data Preparation for Satellite Machine Learning

Open-source satellite tracker and pass predictor for Android, inspired by Gpredict

Satellite image time series in R

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray