Machine learning model for burned area prediction
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资源简介:
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.
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Zenodo创建时间:
2025-08-25



