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Is Prediction of Future Landslides Possible with a GIS?

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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.

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References

  • Chung, C. F. and Fabbri, A. G.: 1998, Three Bayesian prediction models for landslide hazard, In: A. Bucciantti (ed.), Proceedings of International Association for Mathematical Geology 1998 Annual Meeting (IAMG'98), Ischia, Italy, October 3-7, 1998, pp. 204–211.

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Authors and Affiliations

  1. ITC, Hengelosestraat 99, 7500 AA, Enschede, The Netherlands E-mail

    Andrea G. Fabbri

  2. Geological Survey of Canada, 601 Booth Street, Ottawa, Canada, K1A 0E8 E-mail

    Chang-Jo F. Chung

  3. Universidad de Cantabria, Avd. de Los Castros s/n, 39005, Santander, Spain E-mail

    Antonio Cendrero & Juan Remondo

Authors
  1. Andrea G. Fabbri
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  2. Chang-Jo F. Chung
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  3. Antonio Cendrero
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  4. Juan Remondo
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Fabbri, A.G., Chung, CJ.F., Cendrero, A. et al. Is Prediction of Future Landslides Possible with a GIS?. Natural Hazards 30, 487–503 (2003). https://doi.org/10.1023/B:NHAZ.0000007282.62071.75

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  • DOI: https://doi.org/10.1023/B:NHAZ.0000007282.62071.75

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