Check here for a long list of resources and trainings that will help you get acquainted with SAR data.

Sisters of SAR: List of SAR Resources

Visit the spatial CRAN Task View. It summarizes a lot of information about packages for working with geospatial data in R.

CRAN Task View: Analysis of Spatial Data

The GeoDataViz Toolkit is a set of resources that will help you communicate your data effectively through the design of compelling visuals. Check it out here.

GeoDataViz-Toolkit: Resources, Assets and Other Useful Links for Geospatial Data Visualization

Check here for a huge list of Google Earth Engine resources (getting started, APIs, free courses, presentations, videos, datasets, and more).

Awesome Earth Engine: A Curated List of Google Earth Engine Resources

RadarCODE is a curated list of (public-domain) SAR software, libraries and resources. Check it out here.

A Curated List of Synthetic Aperture Radar (SAR) Software, Libraries, and Resources

Here is a list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.

Satellite Imagery Datasets Containing Ships

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 tutorial gives an introduction to glTF, the GL transmission format. It summarizes the most important features and applications of glTF, and describes the structure of the files related to glTF.

glTF Tutorial

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

This repository contains a large list of DEM data sources, portals, information about various datasets and products, and more.

Awesome-DEM: Overview of Digital Elevation Model (DEM) Datasets

Here are over 60 practical examples on creating interactive maps with Leaflet, with increasing difficulty, by Grzegorz Tomicki.

Leaflet.js Examples

Landsat has been collecting information about Earth since 1972. The USGS Landsat archive now spans 50 years with over 10.3 million scenes. Learn more about downloading Landsat data here.

How to Access Landsat Data

Here you can find introductions and Jupyter Notebook examples on how to access Radiant MLHub API.

Radiant MLHub Tutorials

Take a look here for some free resources on learning QGIS, Python, PyQGIS, Google Earth Engine and GDAL/OGR. You can pick courses that suit your current level of expertise.

Free GIS Learning Paths by Spatial Thoughts

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

Check out this book for details, backstories, programmatic and technical information on Landsat.

Free Book: Landsat's Enduring Legacy: Pioneering Global Land Observations From Space

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

This book represents up-to-date comprehensive review of theory and techniques to validate land use cover information. Check it out here.

Free Book: Land Use Cover Datasets and Validation Tools

Check out this list of platforms, libraries and other resources for creating map-centric storytelling apps.

story-scrolly-mapping: List of Resources for Map-Centric Storytelling Apps

Check out this long list of resources to help you with ArcGIS development, APIs, SDKs, tools, and location services.

Awesome ArcGIS Developer: A Curated List of Resources for ArcGIS Developers

Keep in touch with the latest in the ML4EO field and explore the latest tutorials and webinars designed to help you work efficiently with geospatial data and cloud-native practices.

Machine Learning for Earth Observation Market News

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

This course provides an introduction into core concepts and applications of data science based approaches to geospatial data analysis. You will find the materials for this course here.

Free Course Materials: Geospatial Data Science

Here is a thorough ebook for learning GIS. Subjects include data visualization with QGIS, GIS and analysis tools, Earth observation and imagery analysis, and geospatial data processing.