Generalizing Human-Driven Wildfire Ignition Models Across Mediterranean Regions Using Harmonized Remote-Sensing and Machine-Learning Data

Wildfires represent a growing environmental and socio-economic threat across Mediterranean landscapes, where prolonged summer droughts and human activity increasingly shape ignition susceptibility. This study presents an open and reproducible modelling framework for comparing the relative influence...

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Autors principals:	Nicola Aimane Dimarco, Ibtissam Faraji, Miriam Wahbi, Mustapha Maatouk, Hakim Boulaassal, Otman Yazidi Aalaoui, Omar El Kharki
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-02-01
Col·lecció:	Geomatics
Matèries:	wildfire ignition anthropogenic drivers machine learning remote sensing Mediterranean Basin
Accés en línia:	https://www.mdpi.com/2673-7418/6/1/13
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