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Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand

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Environmental Geology

Abstract

For predictive landslide susceptibility mapping, this study applied and verified probability model, the frequency ratio and statistical model, logistic regression at Pechabun, Thailand, using a geographic information system (GIS) and remote sensing. Landslide locations were identified in the study area from interpretation of aerial photographs and field surveys, and maps of the topography, geology and land cover were constructed to spatial database. The factors that influence landslide occurrence, such as slope gradient, slope aspect and curvature of topography and distance from drainage were calculated from the topographic database. Lithology and distance from fault were extracted and calculated from the geology database. Land cover was classified from Landsat TM satellite image. The frequency ratio and logistic regression coefficient were overlaid for landslide susceptibility mapping as each factor’s ratings. Then the landslide susceptibility map was verified and compared using the existing landslide location. As the verification results, the frequency ratio model showed 76.39% and logistic regression model showed 70.42% in prediction accuracy. The method can be used to reduce hazards associated with landslides and to plan land cover.

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Acknowledgments

This research was supported by the Basic Research Project of the Korea Institute of Geoscience and Mineral Resources (KIGAM) funded by the Ministry of Science and Technology of Korea.

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Authors and Affiliations

  1. Department of Earth System Sciences, Yonsei University, 134 Shinchon-dong, Seadaemungu, Seoul, 120-749, Korea

    Hyun-Joo Oh

  2. Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources (KIGAM), 92 Gwahang-no, Yuseong-gu, Daejeon, 305-350, Korea

    Saro Lee

  3. Environmental Geology and Geohazard Division, Department of Mineral Resources, Rama VI Rd., Ratchathewee, Bangkok, 10400, Thailand

    Wisut Chotikasathien

  4. Dokdo Research Division, Korea Ocean Research and Development Institute, Ansan, 425-600, Korea

    Chang Hwan Kim

  5. School of Business, Chungbuk National University, 410 Sungbong-Ro, Heungduk-gu, Cheongju, Chungbuk, Korea

    Ju Hyoung Kwon

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  1. Hyun-Joo Oh
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  2. Saro Lee
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  3. Wisut Chotikasathien
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  4. Chang Hwan Kim
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Correspondence to Saro Lee.

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Oh, HJ., Lee, S., Chotikasathien, W. et al. Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand. Environ Geol 57, 641–651 (2009). https://doi.org/10.1007/s00254-008-1342-9

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  • DOI: https://doi.org/10.1007/s00254-008-1342-9

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