Spyndex is a Python package that uses the spectral indices from the Awesome Spectral Indices list and allows computing indices with any Python object supporting overloaded operators.

spyndex: Awesome Spectral Indices in Python

Read here about Microsoft's open source machine learning library, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.

TorchGeo: Machine Learning Library for Geospatial Data

Here is a free open access book including fundamentals and applications of Google Earth Engine. It suits users of all levels - from beginners to advanced users.

Free Book: Cloud-Based Remote Sensing With Google Earth Engine

This book will introduce you to the methods required for spatial programming. It focuses on building your core programming techniques while helping you carry out various geospatial tasks.

PyGIS - Open Source Spatial Programming & Remote Sensing

Here you can find models for typical remote sensing tasks that demonstrate a novel rotated varied-size window attention method to advance the performance of plain vision transformers.

Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model

This repository contains references to more than 60 recent transformers-based methods for different remote sensing problems and will be updated and maintained to include the latest transformers.

Transformers in Remote Sensing

This workshop presents and exemplifies a subset of GRASS GIS toolsets for satellite imagery data processing and analysis in combination with other core modules and add-ons.

Free Workshop: GRASS GIS for Remote Sensing Data Processing and Analysis

MetaEarth lets you download remote sensing data from any provider using a single config. Programmatic API usage is also available. However, the project is still very much under development.

MetaEarth: Download and Access Remote Sensing Data From Any Platform

Transformers have achieved state of the art performance on remote sensing classification datasets and look set to make an impact on other common tasks such as segmentation and object detection.

ESA has lots of free, online courses open that last a few weeks and are suitable for anyone. Learn how EO technology and data applications work, what the data looks like and how it can have an impact.

Online EO for Everyone: Free Massive Open Online Courses by ESA

This ebook teaches you the basics of remote sensing, aerial photos, satellites, preparing images for analysis, band transformation, image classification, and more.

Free Ebook: Introduction to Remote Sensing

Espectro offers users the tools to query spectral indices from the Awesome Spectral Indices list. Additionally, users can visualize the required bands for an index computation.

Espectro: An Application for Querying Spectral Indices

Here is a huge list of resources for performing deep learning on satellite and aerial imagery. The resources are updated regularly and could benefit both the research and developer communities.

Resources for Deep Learning With Satellite and Aerial Imagery

Want to learn more about satellite imagery? Here you can find tutorials, user guides and examples of how you can use satellite imagery to analyze various phenomena and events around the globe.

Sentinel Hub Tutorials, User Guides and Examples

EOReader is a remote sensing open-source Python library reading optical and SAR constellations, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.

EOReader: Remote Sensing Python Library

LEVIR-Ship is the first public tiny ship detection dataset specific to medium-resolution remote sensing images. Check it out here.

LEVIR-Ship: Tiny Ship Detection Dataset

Here is a long list of available benchmark datasets which are acquired using airborne/spaceborne imaging/radar sensors.

Awesome Satellite Benchmark Datasets

Check out this large collection of tutorials on Google Earth Engine, WhiteboxTools, and more. The blog is created by Dr. Qiusheng Wu, author and contributor of many open source geospatial projects.

Qiusheng Wu's Blog on Geospatial Data Science

Check here for a long list of references, algorithms, applications, and other resources on remote sensing data fusions.

Awesome Data Fusion for Remote Sensing

The eemont package extends the Google Earth Engine Python API with pre-processing and processing tools for the most used satellite platforms by adding utility methods for Earth Engine Objects.

eemont: A Python Package That Extends Google Earth Engine

Spectral indices are widely used in the Remote Sensing community. This repository includes a curated list of both classical and novel spectral indices for different remote sensing applications.

awesome-spectral-indices: A Curated List of Spectral Indices for Remote Sensing Applications

The Canadian Space Agency, in collaboration with its partners, has made over 674 000 historical RADARSAT-1 synthetic aperture radar (SAR) images of Earth freely available.

Remote-sensing

spyndex: Awesome Spectral Indices in Python

TorchGeo: Machine Learning Library for Geospatial Data