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: Deng, Niandong, Li, Yuxin, Ma, Jianquan, Shahabi, Himan, Hashim, Mazlan, Oliveira, Gabriel, Chaeikar, Saman Shojae
Format: Article
Language:English
Published: Frontiers Media S.A. 2022
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/104045/1/MazlanHashim2022_AComparativeStudyforLandslideSusceptibilityAssessment.pdf
http://eprints.utm.my/104045/
http://dx.doi.org/10.3389/fenvs.2022.1009433
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/104045/1/MazlanHashim2022_AComparativeStudyforLandslideSusceptibilityAssessment.pdf
http://eprints.utm.my/104045/
http://dx.doi.org/10.3389/fenvs.2022.1009433

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