Trending and emerging prospects of physics-based and ML-based wildfire spread models: a comprehensive review

Abstract The significant threat of wildfires to forest ecology and biodiversity, particularly in tropical and subtropical regions, underscores the necessity for advanced predictive models amidst shifting climate patterns. There is a need to evaluate and enhance wildfire prediction methods, focusing ... View More