Assessment of landslide susceptibility mapping based on XGBoost model: A case study of Yanshan Township

Assessment of landslide susceptibility mapping based on XGBoost model: A case study of Yanshan Township

Landslide susceptibility assessment forms the foundation for precise evaluation of landslide risk. To enhance the accuracy and robustness of landslide susceptibility mapping, a state-of-art machine learning algorithm named the extreme gradient boosting model (XGBoost) was introduced to this study. Y...

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Bibliographic Details
Main Authors: Hongyang WU, Chao ZHOU, Xin LIANG, Pengcheng YUAN, Lanbing YU
Format: Article
Language:zho
Published: Editorial Office of The Chinese Journal of Geological Hazard and Control 2023-10-01
Series:Zhongguo dizhi zaihai yu fangzhi xuebao
Subjects:
landslides
landslide susceptibility mapping
extreme gradient boosting model
prediction accuracy
model robustness
Online Access:https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202206020

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https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202206020

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