Landslide Susceptibility Mapping Using Multi-Criteria Decision-Making (MCDM), Statistical, and Machine Learning Models in the Aube Department, France

Landslide Susceptibility Mapping Using Multi-Criteria Decision-Making (MCDM), Statistical, and Machine Learning Models in the Aube Department, France

Landslides are among the most relevant and potentially damaging natural risks, causing material and human losses. The department of Aube in France is well known for several major landslide occurrences. This study focuses on the assessment of Landslide Susceptibility (LS) using the Frequency Ratio (F...

Full description

Bibliographic Details
Main Authors: Abdessamad Jari, Achraf Khaddari, Soufiane Hajaj, El Mostafa Bachaoui, Sabine Mohammedi, Amine Jellouli, Hassan Mosaid, Abderrazak El Harti, Ahmed Barakat
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Earth
Subjects:
landslide susceptibility
analytic hierarchy process
frequency ratio
random forest
k-nearest neighbor
Aube department
Online Access:https://www.mdpi.com/2673-4834/4/3/37

Internet

https://www.mdpi.com/2673-4834/4/3/37

Similar Items