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

Interactive interface for browsing global, full-resolution satellite imagery

Datasets for deep learning with satellite & aerial imagery

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

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

Satellite image time series in R

Data Preparation for Satellite Machine Learning