Machine learning for high-resolution landslide susceptibility mapping: case study in Inje County, South Korea

Machine learning for high-resolution landslide susceptibility mapping: case study in Inje County, South Korea

Landslides are a major natural hazard that can significantly damage infrastructure and cause loss of life. In South Korea, the current landslide susceptibility mapping (LSM) approach is mainly based on statistical techniques (logistic regression (LR) analysis). According to previous studies, this me...

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Bibliographic Details
Main Authors: Xuan-Hien Le, Song Eu, Chanul Choi, Duc Hai Nguyen, Minho Yeon, Giha Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Earth Science
Subjects:
disaster management
extreme gradient boosting (XGB)
feature importance
landslide
landslide probability
landslide susceptibility mapping (LSM)
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1268501/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2023.1268501/full

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