This repository contains materials for the OpenGeoHub Summer School 2025: “Data Science for Earth Observation”.
These workshops introduce the basic concepts and practical techniques for working with remote sensing data in the R programming language. During the course, we will discuss how to access, process, and analyze satellite data using a comprehensive ecosystem of spatial packages. We will also cover automation and workflow reproducibility, which are very useful in real-world applications. Workshops aim to provide the essential knowledge and practical skills needed to start your own projects involving the acquisition and processing of remote sensing data. Feel free to ask questions and get involved!
Software
You need to install R, RStudio and required packages in this way:
install.packages(c("rstac", "terra", "imager", "sits"))
Please make sure everything is working properly beforehand.
Skills
The workshop is aimed at beginners, but basic knowledge of R programming, GIS and satellite remote sensing is required. If you want to expand your knowledge, I highly recommend the following materials:
Hardware
Your computer should have a minimum of 8 GB of RAM and an Internet connection.
You can download interactive notebooks (.qmd) and static documents (.html) from this repository:
If you have any questions or need help, please let me know at Mattermost.