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Prediction of landslide susceptibility in Rudraprayag, India using novel ensemble of conditional probability and boosted regression tree-based on cross-validation method.
Saha, Sunil; Arabameri, Alireza; Saha, Anik; Blaschke, Thomas; Ngo, Phuong Thao Thi; Nhu, Viet Ha; Band, Shahab S.
Afiliação
  • Saha S; Department of Geography, University of Gour Banga, West Bengal 732103, India.
  • Arabameri A; Department of Geomorphology, Tarbiat Modares University, Tehran 14115-111, Iran. Electronic address: alireza.ameri91@yahoo.com.
  • Saha A; Department of Geography, University of Gour Banga, West Bengal 732103, India.
  • Blaschke T; Department of Geoinformatics - Z_GIS, University of Salzburg, 5020 Salzburg, Austria. Electronic address: thomas.blachke@sbg.ac.at.
  • Ngo PTT; Institute of Research and Development, Duy Tan University, Da Nang 550000, Viet Nam; Geographic Information Science Research Group, Ton Duc Thang University, Ho Chi Minh City 700000, Viet Nam. Electronic address: ngotphuongthao5@duytan.edu.vn.
  • Nhu VH; Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Viet Nam. Electronic address: nhuvietha@tdtu.edu.vn.
  • Band SS; Institute of Research and Development, Duy Tan University, Da Nang 550000, Viet Nam; Future Technology Research Center, College of Future, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan, ROC. Electronic address: shamshirbands@yunte
Sci Total Environ ; 764: 142928, 2021 Apr 10.
Article em En | MEDLINE | ID: mdl-33127137
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article