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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Ladel Latifa, Mastere Mohamed, Kader Shuraik, Spalević Velibor, Dudic Branislav
Format: Artigo
Sprache:Inglês
Veröffentlicht: De Gruyter 2025-03-01
Schriftenreihe:Open Geosciences
Schlagworte:
management
landslide susceptibility
machine learning models
factor correlation analysis
area under the curve
morocco
Online-Zugang:https://doi.org/10.1515/geo-2022-0740
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