A Comparative Assessment of Machine Learning Models for Landslide Susceptibility Mapping in the Rugged Terrain of Northern Pakistan

A Comparative Assessment of Machine Learning Models for Landslide Susceptibility Mapping in the Rugged Terrain of Northern Pakistan

This study investigated the performances of different techniques, including random forest (RF), support vector machine (SVM), maximum entropy (maxENT), gradient-boosting machine (GBM), and logistic regression (LR), for landslide susceptibility mapping (LSM) in the rugged terrain of northern Pakistan...

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Bibliographic Details
Main Authors: Naeem Shahzad, Xiaoli Ding, Sawaid Abbas
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
machine learning
landslide susceptibility
random forest
support vector machine
gradient-boosting machine
maximum entropy
Online Access:https://www.mdpi.com/2076-3417/12/5/2280

Internet

https://www.mdpi.com/2076-3417/12/5/2280

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