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This document reviews recent advances in wildfire risk prediction methodologies, focusing on deep learning techniques. It categorizes models into time series prediction, image segmentation, and spatiotemporal prediction, while discussing key predictive features and challenges in existing models. The paper emphasizes the importance of integrating multimodal data and enhancing model interpretability for improved wildfire risk assessment.

Author

rg.reis

Language

EN