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    Progress in Landslide Research and Technology, Volume 3 Issue 1, 2024

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    Contributor(s)
    Abolmasov, Biljana (editor)
    Alcántara-Ayala, Irasema (editor)
    Arbanas, Željko (editor)
    Huntley, David (editor)
    Konagai, Kazuo (editor)
    Mihalić Arbanas, Snježana (editor)
    Mikoš, Matjaž (editor)
    Ramesh, Maneesha V. (editor)
    Sassa, Kyoji (editor)
    Sassa, Shinji (editor)
    Tang, Huiming (editor)
    Tiwari, Binod (editor)
    Language
    English
    Show full item record
    Abstract
    This open access book provides an overview of the progress in landslide research and technology and is part of a book series of the International Consortium on Landslides (ICL). The book provides a common platform for the publication of recent progress in landslide research and technology for practical applications and the benefit for the society contributing to the Kyoto Landslide Commitment 2020, which is expected to continue up to 2030 and even beyond to globally promote the understanding and reduction of landslide disaster risk, as well as to address the 2030 Agenda Sustainable Development Goals.
    URI
    https://library.oapen.org/handle/20.500.12657/90902
    Keywords
    Landslide Mechanism and Dynamics; Hazard Mapping and Risk Zonation; Monitoring and Early Warning; Testing, Modeling and Risk Assessment; Catastrophic Landslides
    DOI
    10.1007/978-3-031-55120-8
    ISBN
    9783031551208, 9783031551192, 9783031551208
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2024
    Imprint
    Springer Nature Switzerland
    Series
    Progress in Landslide Research and Technology,
    Classification
    Natural disasters
    Earth sciences
    Geographical information systems, geodata and remote sensing
    Meteorology and climatology
    Pages
    474
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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