Spatial prediction and mapping of landslide susceptibility using machine learning models
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DOI: 10.1007/s11069-025-07132-3
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- Peyman Yariyan & Ebrahim Omidvar & Foad Minaei & Rahim Ali Abbaspour & John P. Tiefenbacher, 2022. "An optimization on machine learning algorithms for mapping snow avalanche susceptibility," 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. 111(1), pages 79-114, March.
- Guilherme Garcia Oliveira & Luis Fernando Chimelo Ruiz & Laurindo Antonio Guasselli & Claus Haetinger, 2019. "Random forest and artificial neural networks in landslide susceptibility modeling: a case study of the Fão River Basin, Southern Brazil," 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. 99(2), pages 1049-1073, November.
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Keywords
Machine learning; Susceptibility; Comparative analysis; GIS;All these keywords.
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