Resources

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

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.

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.

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

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

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

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.

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

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.

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.