Machine learning methods for landslide mapping studies: A comparative study of SVM and RF algorithms in the Oued Aoulai watershed (Morocco)

Effective management of watershed risks and landslides necessitates comprehensive landslide susceptibility mapping. Support vector machine (SVM) and random forest (RF) machine learning models were used to map the landslide susceptibility in Morocco’s Taounate Province. Detailed landslide inventory m...

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Detalles Bibliográficos

Principais autores:	Ladel Latifa, Mastere Mohamed, Kader Shuraik, Spalević Velibor, Dudic Branislav
Formato:	Artigo
Idioma:	Inglês
Publicado:	De Gruyter 2025-03-01
Series:	Open Geosciences
Assuntos:	management landslide susceptibility machine learning models factor correlation analysis area under the curve morocco
Acceso en liña:	https://doi.org/10.1515/geo-2022-0740
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