Modeling Landslide Susceptibility in Forest-Covered Areas in Lin’an, China, Using Logistical Regression, a Decision Tree, and Random Forests

Modeling Landslide Susceptibility in Forest-Covered Areas in Lin’an, China, Using Logistical Regression, a Decision Tree, and Random Forests

Landslides are a common geodynamic phenomenon that cause substantial life and property damage worldwide. In the present study, we developed models to evaluate landslide susceptibility in forest-covered areas in Lin’an, southeastern China using logistic regression (LR), decision tree (DT), and random...

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Bibliographic Details
Main Authors: Chongzhi Chen, Zhangquan Shen, Yuhui Weng, Shixue You, Jingya Lin, Sinan Li, Ke Wang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
decision tree
forest type
landslide susceptibility
logistic regression
random forests
understory vegetation
Online Access:https://www.mdpi.com/2072-4292/15/18/4378

Internet

https://www.mdpi.com/2072-4292/15/18/4378

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