Landslide Hazard Assessment in the Heterogeneous Geomorphological and Environmental Context of the Rif Region, Morocco – A Machine Learning Approach

Landslide Hazard Assessment in the Heterogeneous Geomorphological and Environmental Context of the Rif Region, Morocco – A Machine Learning Approach

Landslides are considered to be one of the most significant and critical natural hazards in the heterogeneous geomorphological setting of the Rif region of Morocco. Despite the high susceptibility to landslides, the region lacks detailed studies. Therefore, this research introduces four advanced mac...

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Bibliographic Details
Main Authors: Maryem Hamidi, Tarik Bouramtane, Shiny Abraham, Ilias Kacimi, Laurent Barbiero, Nadia Kassou, Vincent Valles, Gad Levy
Format: Article
Language:English
Published: Polish Society of Ecological Engineering (PTIE) 2023-11-01
Series:Ecological Engineering & Environmental Technology
Subjects:
landslide
machine learning
morocco
susceptibility mapping
remote sensing
rif
Online Access:http://www.ecoeet.com/Landslide-Hazard-Assessment-in-the-Heterogeneous-Geomorphological-and-Environmental,172569,0,2.html

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http://www.ecoeet.com/Landslide-Hazard-Assessment-in-the-Heterogeneous-Geomorphological-and-Environmental,172569,0,2.html

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