Landslide susceptibility mapping in Badakhshan province, Afghanistan: a comparative study of machine learning algorithms

Landslide susceptibility mapping in Badakhshan province, Afghanistan: a comparative study of machine learning algorithms

This research aimed to assess landslide susceptibility in the Badakhshan province of Afghanistan, an area highly susceptible to landslides due to its complex topography and geological conditions. Three distinct machine learning (ML) models, namely the Generalized Linear Model (GLM), Maximum Entropy...

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Bibliographic Details
Main Authors: Abdul Baser Qasimi, Vahid Isazade, Enayatullah Enayat, Zabihullah Nadry, Abdul Hallim Majidi
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geocarto International
Subjects:
landslide
machine learning
random forest
maximum entropy
badakhshan
Online Access:http://dx.doi.org/10.1080/10106049.2023.2248082

Internet

http://dx.doi.org/10.1080/10106049.2023.2248082

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