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