- Application of novel ensemble models to improve landslide susceptibil…
Number of the records: 1  

Application of novel ensemble models to improve landslide susceptibility mapping reliability

    1.
    SYSNO0573977
    TitleApplication of novel ensemble models to improve landslide susceptibility mapping reliability
    Author(s) Tong, Z. (CN)
    Guan, Q. (CN)
    Arabameri, A. (IR)
    Loche, Marco (USMH-B) ORCID, RID
    Scaringi, G. (CZ)
    Corespondence/seniorArabameri, A. - Korespondující autor
    Source Title Bulletin of Engineering Geology and the Environment. Roč. 82, č. 8 (2023). - : Springer
    Article number309
    Document TypeČlánek v odborném periodiku
    Institutional supportUSMH-B - RVO:67985891
    Languageeng
    CountryDE
    Keywords Landslide susceptibility maps * Landslide inventory * Machine learning * Statistical modeling
    URLhttps://doi.org/10.1007/s10064-023-03328-8
    Permanent Linkhttps://hdl.handle.net/11104/0344476
     
Number of the records: 1  

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