Landslide Susceptibility Mapping in Guangdong Province, China, Using Random Forest Model and Considering Sample Type and Balance
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- Jinxuan Zhou & Shucheng Tan & Jun Li & Jian Xu & Chao Wang & Hui Ye, 2023. "Landslide Susceptibility Assessment Using the Analytic Hierarchy Process (AHP): A Case Study of a Construction Site for Photovoltaic Power Generation in Yunxian County, Southwest China," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
- Haoran Fang & Yun Shao & Chou Xie & Bangsen Tian & Chaoyong Shen & Yu Zhu & Yihong Guo & Ying Yang & Guanwen Chen & Ming Zhang, 2023. "A New Approach to Spatial Landslide Susceptibility Prediction in Karst Mining Areas Based on Explainable Artificial Intelligence," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
- Di Wang & Mengmeng Hao & Shuai Chen & Ze Meng & Dong Jiang & Fangyu Ding, 2021. "Assessment of landslide susceptibility and risk factors in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(3), pages 3045-3059, September.
- Xiaoyi Wu & Yuanbao Song & Wei Chen & Guichuan Kang & Rui Qu & Zhifei Wang & Jiaxian Wang & Pengyi Lv & Han Chen, 2023. "Analysis of Geological Hazard Susceptibility of Landslides in Muli County Based on Random Forest Algorithm," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
- Xin Wei & Lulu Zhang & Junyao Luo & Dongsheng Liu, 2021. "A hybrid framework integrating physical model and convolutional neural network for regional landslide susceptibility mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 471-497, October.
- Yongwei Li & Xianmin Wang & Hang Mao, 2020. "Influence of human activity on landslide susceptibility development in the Three Gorges area," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2115-2151, December.
- Madhurima Ganguly & Rahul Aynyas & Abhishek Nandan & Prasenjit Mondal, 2018. "Hazardous area map: an approach of sustainable urban planning and industrial development—a review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(3), pages 1385-1405, April.
- Deborah Simon Mwakapesa & Yimin Mao & Xiaoji Lan & Yaser Ahangari Nanehkaran, 2023. "Landslide Susceptibility Mapping Using DIvisive ANAlysis (DIANA) and RObust Clustering Using linKs (ROCK) Algorithms, and Comparison of Their Performance," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
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- Jiakai Lu & Chao Ren & Weiting Yue & Ying Zhou & Xiaoqin Xue & Yuanyuan Liu & Cong Ding, 2023. "Investigation of Landslide Susceptibility Decision Mechanisms in Different Ensemble-Based Machine Learning Models with Various Types of Factor Data," Sustainability, MDPI, vol. 15(18), pages 1-49, September.
- Sheng Ma & Jian Chen & Saier Wu & Yurou Li, 2023. "Landslide Susceptibility Prediction Using Machine Learning Methods: A Case Study of Landslides in the Yinghu Lake Basin in Shaanxi," Sustainability, MDPI, vol. 15(22), pages 1-26, November.
- He Yang & Qihong Wu & Jianhui Dong & Feihong Xie & Qixue Zhang, 2023. "Landslide Risk Mapping Using the Weight-of-Evidence Method in the Datong Mining Area, Qinghai Province," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
- Mohib Ullah & Bingzhe Tang & Wenchao Huangfu & Dongdong Yang & Yingdong Wei & Haijun Qiu, 2024. "Machine Learning-Driven Landslide Susceptibility Mapping in the Himalayan China–Pakistan Economic Corridor Region," Land, MDPI, vol. 13(7), pages 1-22, July.
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Keywords
landslide susceptibility mapping (LSM); machine learning; random forest (RF); sample balance; rainfall-induced landslide; global human modification (GHM);All these keywords.
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