Strategy on the landslide type analysis based on the expert knowledge and the quantitative prediction model

Hirohito Kojima, Chang Jo F. Chung, Cees J. Van Westen

Research output: Contribution to journalConference articleAcademicpeer-review

12 Citations (Scopus)

Abstract

This paper discusses the applicability of analysis on the "landslide types" based on the quantitative prediction model for landslide hazard mapping. The quantitative prediction model used in this study construct the relationship between the past landslide occurrences and various kinds of geographical information termed "causal factors". One of the strong demands of the experts working on the landslide is to analyze the "different types of landslides", through the prediction models. Based on a previous study, it was decided to use a fuzzy-set theory model (using algebraic sum operator) for analysis among many integration tools. The analytical procedure was divided into the following two stages: • Comparison of the prediction maps produced by the prediction model, with respect to the various landslide types, such as scarp collapse, rotational landslide, translational landslide, flow and flowslide. • Comparison between the prediction maps and the hazard map made by the geomorphologist. In these analyses, two kinds of difference maps (termed DIF map-A and DIF map-B) were provided. The DIF map-A is made by the two prediction maps with respect to the different landslide types, while the DIF map-B is made by each prediction map and the hazard map produced by the geomorphologist. Based on the experiment for the Alpago region in Italy, it is indicated that the hazardous area affected by the different landslide types could be analyzed through the DIF map-A, furthermore, the DIF map-B taking account of the expert's opinion is effective to find out the hazardous area with respect to the landslide types.

Original languageEnglish
Pages (from-to)701-708
Number of pages8
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume33
Publication statusPublished - 1 Jan 2000
EventXIXth International Congress for Photogrammetry and Remote Sensing 2000 - Amsterdam, Netherlands
Duration: 16 Jul 200023 Jul 2000
Conference number: 19
http://www.isprs.org/congresses/amsterdam2000/default.aspx

Keywords

  • Fuzzy set theory
  • Landslide type analysis
  • Quantitative prediction model
  • Spatial data integration

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