title	author	date	output
Remote Sensing of Deserts and Desertification	Arnon Karnieli and Micha Silver	12 March, 2025	html_document

Pre-requisites

• Register on Copernicus DataSpace: (https://dataspace.copernicus.eu/)
• Prepare OpenEO client id) and secret);
• Save these) to a text file on your computer.
• Register on GitLab: (https://gitlab.com/users/sign_in)
• Send me your GitLab username (([email protected])) to get authorized for the class repo;

Getting started

• Install git client from: (https://git-scm.com/downloads)
• Install R and RStudio: (https://posit.co/download/rstudio-desktop/)
• Clone class repo (https://gitlab.com/rs-course/rs-arid-regions) to your computer;
• Start R project (using RStudio) rs-arid-regions;
• Enter your name and email into participants.md document;
• Commit locally;
• After I authorize your GitLab user for the class repo, push your change.

Class Project

Coding groups:

• Setup: R packages, directories, parameters, looping;
• Water surfaces: Prepare time series of water surface rasters (hint: NDWI);
• Soil moisture: Prepare time series of soil moisture rasters (hint: OPTRAM)
• Plot maps.

Each student:

• Prepare polygon GIS file of your Area of Interest
• Save into GIS sub-directory, and push to class repo;
• Commit and push to class repo.
• Prepare individual parameters.yml file with:
  • name of AOI file;
  • analysis period (dates as "YYYY-MM-DD");
  • OAuth clientid and secret;
  • Output directory
  • (This file is only local, Not shared on git repo)
• When all functions are written and tested, run the code on your AOI.