Landslide Susceptibility Mapping by Using Geospatial Technique: Reference from Hofu City, Yamaguchi Prefecture, Japan

Benita Nathania and Setiawati, Martiwi Diah, "Landslide Susceptibility Mapping by Using Geospatial Technique: Reference from Hofu City, Yamaguchi Prefecture, Japan" in Landslide: Susceptibility, Risk Assessment and Sustainability (Cham: Springer Cham, 2024), 25-52.

Document type:
Book Chapter
Collection:
UNU-IAS Book Chapters

Metadata
Links
Versions
Statistics
  • Author Benita Nathania
    Setiawati, Martiwi Diah
    Chapter Title Landslide Susceptibility Mapping by Using Geospatial Technique: Reference from Hofu City, Yamaguchi Prefecture, Japan
    Book Title Landslide: Susceptibility, Risk Assessment and Sustainability
    Publication Date 2024-05-15
    Place of Publication Cham
    Publisher Springer Cham
    Start page 25
    End page 52
    Language eng
    Abstract Hofu City in the southern part of Honshu Island, Japan, was hit by a severe landslide on July 21, 2009. This chapter aims to determine the sites where the landslides are most likely to happen by creating a susceptibility map within the case study sites. We used remote sensing and geographic information systems (GIS) datasets that include ALOS AVNIR-2 satellite imagery, the digital elevation models (DEM), geology records, the local rain gauge data, and geographical representation of the history of landslides. Seven parameters, including land cover, elevation, slope, aspect, geology, and boundary extraction, were integrated using logistic regression with an isohyet map (i.e., from the rainfall dataset) to model a landslide susceptibility map (LSM). Following the research's findings, landslides were more likely to occur at elevations between 50 and 350 m, slope angles between 5 and 50 degrees, slope directions northeast and north, all of the land cover types and lithological types of granodiorite, fan deposits, and middle terrace. Among those statics' parameters, elevation, land cover, and slope were the most significant in determining the landslide susceptibility model. Further, almost half of Hofu City was categorized as high and very high susceptible areas. Moreover, out of the 928 inventory landslide dataset, 916 were placed at the very high susceptibility areas of the LSM.
    UNBIS Thesaurus LANDSLIDES
    RISK ASSESSMENT
    JAPAN
    Keyword Geospatial modeling
    Remote sensing
    Copyright Holder The Author(s), under exclusive license to Springer Nature Switzerland AG
    Copyright Year 2024
    Copyright type All rights reserved
    ISBN 9783031565908
    9783031565915
    DOI https://doi.org/10.1007/978-3-031-56591-5_2
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 100 Abstract Views  -  Detailed Statistics
    Created: Fri, 17 May 2024, 19:37:22 JST by Hanna Takemoto on behalf of UNU IAS