giacfalk/hydropower_remotesensing

Monitoring hydropower reliability in Malawi with satellite data and machine learning # Code and data from "Monitoring hydropower reliability in Malawi with satellite data and machine learning" **This repository hosts:** - Python files to interact with the Google Earth Engine API and process the remotely sensed data - A R script interacting with those Python files via the reticulate package and carrying out the analysis - Supporting data to run the analysis **To replicate the analysis, the following steps should be followed:** - Retrieve SPEI drought index nc files from feemit-my.sharepoint.com (too large to be hosted on GitHub) and insert them in root directory of the repository. - Make sure Python 3.x+ is available on the local machine and the dependencies listed in the python_dependencies.txt have been installed. - Open the Script.R file and replace the paths to the repository (line 68) and to the Python executable (line 13). - Ensure the required R dependencies are installed. - Launch the script. Source code-related issues should be opened directly on the "Issues" tab. Broader questions of the methods should be addressed to giacomo.falchetta@feem.it