A comparative study for landslide susceptibility assessment using machine learning algorithms based on grid unit and slope unit

A comparative study for landslide susceptibility assessment using machine learning algorithms based on grid unit and slope unit

Landslide susceptibility assessment is an important support for disaster identification and risk management. This study aims to analyze the application ability of machine learning hybrid models in different evaluation units. Three typical machine learning models, including random forest forest by pe...

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Bibliographic Details
Main Authors: Niandong Deng, Yuxin Li, Jianquan Ma, Himan Shahabi, Mazlan Hashim, Gabriel de Oliveira, Saman Shojae Chaeikar
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Environmental Science
Subjects:
landslide susceptibility
machine learning
hybrid model
slope unit
grid unit
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2022.1009433/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2022.1009433/full

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