GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh

GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh

The frequency of landslides and related economic and environmental damage has increased in recent decades across the hilly areas of the world, no exception is Bangladesh. Considering the first step in landslide disaster management, different methods have been applied but no methods found as best one...

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Bibliographic Details
Main Authors: Md. Sharafat Chowdhury, Md. Naimur Rahman, Md. Sujon Sheikh, Md. Abu Sayeid, Khandakar Hasan Mahmud, Bibi Hafsa
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Heliyon
Subjects:
Geographic information systems
Logistic regression
Random forest
Decision and regression tree
AUC of ROC
Landslide susceptibility map
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023106323

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