Machine learning model for burned area prediction

The script Ensemble_ssp.py builds the XGBoost-based ML model, reads the training and projection datasets, and generates global gridded (2° × 2.5°) monthly burned area for 2015–2099.
Sample datasets for testing are provided in training data.zip. A detailed description of the input datasets will be available in the forthcoming publication.