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Is Prediction of Future Landslides Possible with a GIS?

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  • Andrea Fabbri
  • Chang-Jo Chung
  • Antonio Cendrero
  • Juan Remondo

Abstract

This contribution explores a strategy for landslide hazard zonation inwhich layers of spatial data are used to represent typical settings inwhich given dynamic types of landslides are likely to occur. Theconcepts of assessment and prediction are defined to focus on therepresentation of future hazardous events and in particular on themyths that often provide obstacles in the application of quantitativemethods. The prediction rate curves for different applications describethe support provided by the different data layers in experiments inwhich the typical setting of hazardous events is approximated bystatistically integrating the spatial information. Copyright Kluwer Academic Publishers 2003

Suggested Citation

  • Andrea Fabbri & Chang-Jo Chung & Antonio Cendrero & Juan Remondo, 2003. "Is Prediction of Future Landslides Possible with a GIS?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 30(3), pages 487-503, November.
    • Handle: RePEc:spr:nathaz:v:30:y:2003:i:3:p:487-503
    DOI: 10.1023/B:NHAZ.0000007282.62071.75
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    1. Chang-Jo Chung & Andrea Fabbri, 2003. "Validation of Spatial Prediction Models for Landslide Hazard Mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 30(3), pages 451-472, November.
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    Cited by:

    1. Bipin Peethambaran & R. Anbalagan & K. V. Shihabudheen, 2019. "Landslide susceptibility mapping in and around Mussoorie Township using fuzzy set procedure, MamLand and improved fuzzy expert system-A comparative study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(1), pages 121-147, March.
    2. Yang Hong & Robert Adler & George Huffman, 2007. "Use of satellite remote sensing data in the mapping of global landslide susceptibility," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 43(2), pages 245-256, November.
    3. Alexey Konovalov & Yuriy Gensiorovskiy & Andrey Stepnov, 2020. "Hazard-Consistent Earthquake Scenario Selection for Seismic Slope Stability Assessment," Sustainability, MDPI, vol. 12(12), pages 1-14, June.
    4. Dimitrios Myronidis & Charalambos Papageorgiou & Stavros Theophanous, 2016. "Landslide susceptibility mapping based on landslide history and analytic hierarchy process (AHP)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 245-263, March.
    5. Dimitris Kouhartsiouk & Skevi Perdikou, 2021. "The application of DInSAR and Bayesian statistics for the assessment of landslide susceptibility," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(3), pages 2957-2985, February.
    6. Juan Cao & Zhao Zhang & Jie Du & Liangliang Zhang & Yun Song & Geng Sun, 2020. "Multi-geohazards susceptibility mapping based on machine learning—a case study in Jiuzhaigou, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 851-871, July.
    7. Dimitrios Myronidis & Charalambos Papageorgiou & Stavros Theophanous, 2016. "Landslide susceptibility mapping based on landslide history and analytic hierarchy process (AHP)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 245-263, March.
    8. Caruso, Germán Daniel, 2017. "The legacy of natural disasters: The intergenerational impact of 100 years of disasters in Latin America," Journal of Development Economics, Elsevier, vol. 127(C), pages 209-233.
    9. Nussaïbah B. Raja & Ihsan Çiçek & Necla Türkoğlu & Olgu Aydin & Akiyuki Kawasaki, 2017. "Landslide susceptibility mapping of the Sera River Basin using logistic regression model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(3), pages 1323-1346, February.

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