Machine Learning-Based Wildfire Susceptibility Mapping: A GIS-Integrated Predictive Framework

Wildfires pose significant risks to ecosystems, human lives, and infrastructure, necessitating advanced predictive tools to mitigate their impacts. This study presents a machine learning-based framework for wildfire susceptibility mapping (WSM), designed as a predictive tool for wildfire occurrence....

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Yehya Bouzeraa, Nardjes Bouchemal, Salim Djaaboub, Georgi Hristov, Plamen Zahariev
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2025-11-01
Serie:	Applied Sciences
Ämnen:	wildfire susceptibility mapping machine learning (ML) geospatial analysis importance factor analysis wildfire prevention and planning
Länkar:	https://www.mdpi.com/2076-3417/15/22/12188
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!