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Landslide Susceptibility Evaluation of Machine Learning Based on Information Volume and Frequency Ratio: A Case Study of Weixin County, China.
He, Wancai; Chen, Guoping; Zhao, Junsan; Lin, Yilin; Qin, Bingui; Yao, Wanlu; Cao, Qing.
Afiliação
  • He W; Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China.
  • Chen G; Key Laboratory of Geospatial Information Integration Innovation for Smart Mines, Kunming 650093, China.
  • Zhao J; Spatial Information Integration Technology of Natural Resources in Universities of Yunnan Province, Kunming 650211, China.
  • Lin Y; Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China.
  • Qin B; Key Laboratory of Geospatial Information Integration Innovation for Smart Mines, Kunming 650093, China.
  • Yao W; Spatial Information Integration Technology of Natural Resources in Universities of Yunnan Province, Kunming 650211, China.
  • Cao Q; Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China.
Sensors (Basel) ; 23(5)2023 Feb 24.
Article em En | MEDLINE | ID: mdl-36904752
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article