Landslide Susceptibility Assessment Using Spatial Multi-Criteria Evaluation Model in Rwanda
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- Lamek Nahayo & Cui Peng & Yu Lei & Rongzhi Tan, 2023. "Spatial understanding of historical and future landslide variation in Africa," 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. 119(1), pages 613-641, October.
- Martin Kuradusenge & Santhi Kumaran & Marco Zennaro, 2020. "Rainfall-Induced Landslide Prediction Using Machine Learning Models: The Case of Ngororero District, Rwanda," IJERPH, MDPI, vol. 17(11), pages 1-20, June.
- Sk Ajim Ali & Farhana Parvin & Quoc Bao Pham & Khaled Mohamed Khedher & Mahro Dehbozorgi & Yasin Wahid Rabby & Duong Tran Anh & Duc Hiep Nguyen, 2022. "An ensemble random forest tree with SVM, ANN, NBT, and LMT for landslide susceptibility mapping in the Rangit River watershed, India," 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. 113(3), pages 1601-1633, September.
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Keywords
disaster; GIS; hazard; landslide; Rwanda; Spatial Multi-Criteria; susceptibility;All these keywords.
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