Landslide susceptibility mapping based on data mining models in Lesser Caucasus and Kura foreland basin (Armenia and Azerbaijan)

Landslide susceptibility mapping based on data mining models in Lesser Caucasus and Kura foreland basin (Armenia and Azerbaijan)

Landslides are a major geological hazard causing significant loss of life and infrastructure damage worldwide. Landslide susceptibility mapping is a crucial, though developing, tool for understanding the spatial distribution of landslide hazard. This study addresses the absence of a comprehensive la...

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Bibliographic Details
Main Authors: Israr Ullah, Klaus Reicherter, Tomáš Pánek, Alessandro Tibaldi, Husam Al-Najjar, Bahareh Kalantar, Naonori Ueda, Hans-Balder Havenith
Format: Article
Language:English
Published: Taylor & Francis Group 2025-07-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Landslide susceptibility
GIS
remote sensing
machine learning
data mining
logistic regression
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2025.2537221
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