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 https://feemit-my.sharepoint.com/:f:/g/personal/giacomo_falchetta_feem_it/ElWS_wYKxoxDuaKDW2FZpbIBK83onBoz4ixmqMDtoOeemg?e=w1iV0j (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 [email protected]