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Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms.
Tien Bui, Dieu; Shahabi, Himan; Shirzadi, Ataollah; Chapi, Kamran; Pradhan, Biswajeet; Chen, Wei; Khosravi, Khabat; Panahi, Mahdi; Bin Ahmad, Baharin; Saro, Lee.
Afiliación
  • Tien Bui D; Geographic Information Science Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam. buitiendieu@tdt.edu.vn.
  • Shahabi H; Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam. buitiendieu@tdt.edu.vn.
  • Shirzadi A; Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj 66177-15175, Iran. h.shahabi@uok.ac.ir.
  • Chapi K; Department of Rangeland and Watershed Management, Faculty of Natural Resources, University of Kurdistan, Sanandaj 66177-15175, Iran. a.shirzadi@uok.ac.ir.
  • Pradhan B; Department of Rangeland and Watershed Management, Faculty of Natural Resources, University of Kurdistan, Sanandaj 66177-15175, Iran. k.chapi@uok.ac.ir.
  • Chen W; Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW 2007, Australia. Biswajeet.Pradhan@uts.edu.au.
  • Khosravi K; Department of Energy and Mineral Resources Engineering, Choongmu-gwan, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea. Biswajeet.Pradhan@uts.edu.au.
  • Panahi M; College of Geology & Environment, Xi'an University of Science and Technology, Xi'an 710054, China. chenwei.0930@163.com.
  • Bin Ahmad B; Department of Watershed Sciences Engineering, Faculty of Natural Resources, Sari Agricultural and Natural Resources University (SANRU), Sari, Mazandaran P.O.BOX 48181-68984, Iran. khabat.khosravi@gmail.com.
  • Saro L; Department of Geophysics, Young Researchers and Elites Club, North Tehran Branch, Islamic Azad University, Tehran P.O. Box 19585/466, Iran. panahi2012@yahoo.com.
Sensors (Basel) ; 18(8)2018 Jul 31.
Article en En | MEDLINE | ID: mdl-30065216

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2018 Tipo del documento: Article País de afiliación: Vietnam

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2018 Tipo del documento: Article País de afiliación: Vietnam