Optimizing Stacked Ensemble Machine Learning Models for Accurate Wildfire Severity Mapping

Wildfires are increasingly frequent and severe, posing substantial risks to ecosystems, communities, and infrastructure. Accurately mapping wildfire severity (WSM) using remote sensing and machine learning (ML) is critical for evaluating damages, informing recovery efforts, and guiding long-term mit...

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Autors principals:	Linh Nguyen Van, Giha Lee
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-02-01
Col·lecció:	Remote Sensing
Matèries:	wildfire severity mapping stacking ensemble machine learning Landsat satellite wildfire management
Accés en línia:	https://www.mdpi.com/2072-4292/17/5/854
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