Improved rainfall threshold for landslides in data sparse and diverse geomorphic milieu: a cluster analysis based approach
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DOI: 10.1007/s11069-020-04004-w
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References listed on IDEAS
- K. Sajinkumar & R. Castedo & P. Sundarajan & V. Rani, 2015. "Study of a partially failed landslide and delineation of piping phenomena by vertical electrical sounding (VES) in the Wayanad Plateau, Kerala, 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. 75(1), pages 755-778, January.
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Cited by:
- Somnath Bera & Vaibhav Kumar Upadhyay & Balamurugan Guru & Thomas Oommen, 2021. "Landslide inventory and susceptibility models considering the landslide typology using deep learning: Himalayas, 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. 108(1), pages 1257-1289, August.
- Fabio Luino & Jerome De Graff & Marcella Biddoccu & Francesco Faccini & Michele Freppaz & Anna Roccati & Fabrizio Ungaro & Michele D’Amico & Laura Turconi, 2022. "The Role of Soil Type in Triggering Shallow Landslides in the Alps (Lombardy, Northern Italy)," Land, MDPI, vol. 11(8), pages 1-26, July.
- Adrián G. Bruzón & Patricia Arrogante-Funes & Fátima Arrogante-Funes & Fidel Martín-González & Carlos J. Novillo & Rubén R. Fernández & René Vázquez-Jiménez & Antonio Alarcón-Paredes & Gustavo A. Alon, 2021. "Landslide Susceptibility Assessment Using an AutoML Framework," IJERPH, MDPI, vol. 18(20), pages 1-20, October.
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Keywords
Cluster analysis; Rainfall threshold analysis; Tropical landslides; Western Ghats; Landslide characterization;All these keywords.
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