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Landslide susceptibility prediction using machine learning and remote sensing: Case study in Thua Thien Hue province, Vietnam

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dc.contributor.author NGUYEN, Huu Duy
dc.contributor.author NGUYEN, Quoc Huy
dc.contributor.author VIET DU, Quan Vu
dc.contributor.author PHAM, Viet Thanh
dc.contributor.author PHAM, Le Tuan
dc.contributor.author HOANG, Thanh Van
dc.contributor.author TRUONG, Quang-Hai
dc.contributor.author BUI, Quang-Thanh
dc.contributor.author PETRISOR, Alexandru-Ionut
dc.date.accessioned 2024-07-03T09:46:26Z
dc.date.available 2024-07-03T09:46:26Z
dc.date.issued 2024
dc.identifier.citation NGUYEN, Huu Duy et al. Landslide susceptibility prediction using machine learning and remote sensing: Case study in Thua Thien Hue province, Vietnam. In: Geological Journal, 2024, vol. 59, nr.2, p. 636-658. ISSN 0072-1050. e-ISSN 1099-1034. en_US
dc.identifier.issn 0072-1050
dc.identifier.issn 1099-1034
dc.identifier.uri https://doi.org/10.1002/gj.4885
dc.identifier.uri http://repository.utm.md/handle/5014/27746
dc.description Acess full text: https://doi.org/10.1002/gj.4885 en_US
dc.description.abstract This study aims to assess landslide susceptibility in the Thua Thien Hue province of Vietnam using deep neural networks (DNNs) and swarm-based optimization algorithms, namely Adam, stochastic gradient descent (SGD), Artificial Rabbits Optimization (ARO), Tuna Swarm Optimization (TSO), Sand Cat Swarm Optimization (SCSO), Honey Badger Algorithm (HBA), Marine Predators Algorithm (MPA) and Particle Swarm Optimization (PSO). The locations of 945 landslides occurring between 2012 and 2022, along with 14 conditioning factors, were used as input data to build the DNN and DNN-hybrid models. en_US
dc.language.iso en en_US
dc.publisher John Wiley & Sons Ltd en_US
dc.relation.ispartofseries Geological Journal;2024, vol. 59, nr. 2
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject landslides en_US
dc.subject Vietnam en_US
dc.title Landslide susceptibility prediction using machine learning and remote sensing: Case study in Thua Thien Hue province, Vietnam en_US
dc.type Article en_US


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