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Automated machine learning for rainfall-induced landslide hazard mapping in Luhe County of Guangdong Province,China

Tao Li Chen-chen Xie Chong Xu Wen-wen Qi Yuan-dong Huang Lei Li

China Geology2024，Vol.7Issue(2)：P.315-329,15.

China Geology2024，Vol.7Issue(2)：P.315-329,15.DOI:10.31035/cg2024064

Automated machine learning for rainfall-induced landslide hazard mapping in Luhe County of Guangdong Province,China

Tao Li ¹Chen-chen Xie ²Chong Xu ¹Wen-wen Qi ¹Yuan-dong Huang ³Lei Li¹

作者信息

1. National Institute of Natural Hazards,Ministry of Emergency Management of China,Beijing 100085,China Key Laboratory of Compound and Chained Natural Hazards Dynamics,Ministry of Emergency Management of China,Beijing 100085,China
2. National Institute of Natural Hazards,Ministry of Emergency Management of China,Beijing 100085,China Key Laboratory of Compound and Chained Natural Hazards Dynamics,Ministry of Emergency Management of China,Beijing 100085,China Institute of Disaster Prevention,Sanhe 065201,China
3. National Institute of Natural Hazards,Ministry of Emergency Management of China,Beijing 100085,China Key Laboratory of Compound and Chained Natural Hazards Dynamics,Ministry of Emergency Management of China,Beijing 100085,China School of Emergency Management Science and Engineering,University of Chinese Academy of Sciences,Beijing 100049,China
折叠

摘要

关键词

Landslide hazard/Heavy rainfall/Harzard mapping/Hazard assessment/Automated machine learning/Shallow landslide/Visual interpretation/Luhe County/Geological hazards survey engineering

分类

天文与地球科学

引用本文复制引用

Tao Li,Chen-chen Xie,Chong Xu,Wen-wen Qi,Yuan-dong Huang,Lei Li..Automated machine learning for rainfall-induced landslide hazard mapping in Luhe County of Guangdong Province,China[J].China Geology,2024,7(2):P.315-329,15.

基金项目

supported by the State Administration of Science,Technology and Industry for National Defence,PRC(KJSP2020020303) （KJSP2020020303）

the National Institute of Natural Hazards,Ministry of Emergency Management of China(ZDJ2021-12)。（ZDJ2021-12）

China Geology

OACSTPCD

ISSN：2096-5192

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