Techniques for deep learning with satellite & aerial imagery

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

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

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

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

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

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

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

Datasets for deep learning with satellite & aerial imagery

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

Interactive interface for browsing global, full-resolution satellite imagery

interactive notebooks from Planet Engineering

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

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

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Satellite image time series in R

Pytorch implementation of ResUnet and ResUnet ++