• DocumentCode
    314790
  • Title

    Modelling soil erosion hazard by using a fuzzy knowledge-based approach

  • Author

    Metternicht, G.I.

  • Author_Institution
    Sch. of Surveying & Land Inf., Curtin Univ. of Technol., Perth, WA, Australia
  • Volume
    2
  • fYear
    1997
  • fDate
    3-8 Aug 1997
  • Firstpage
    674
  • Abstract
    Land degradation as the result of water erosion represents a serious environmental threat. The erosion processes are complex and depend on many factors, determined in turn by a set of characteristics. Fuzzy knowledge-based exploratory models are designed to investigate the susceptibility to erosion by incorporating expert knowledge, in the sense that information on soil properties and/or landscape elements assumed to control accelerated soil erosion are incorporated into the modelling process. Fuzzy boundaries are applied to rank the landscape factors used in modelling the likelihood of an area to be affected by different erosion degrees. Although the model provides qualitative estimations, it is very useful for exploring indicator-cause-process relationships. In addition, it allows the importance of individual landscape elements related to soil erosion to be tested
  • Keywords
    environmental science computing; erosion; fuzzy logic; geology; geomorphology; geophysics computing; knowledge engineering; soil; environmental science; expert knowledge; exploratory model; fuzzy knowledge-based approach; geomorphology; geophysics computing; image processing; land degradation; land surface; landscape; remote sensing; soil erosion hazard; water erosion; Acceleration; Australia; Calibration; Degradation; Fuzzy control; Fuzzy sets; Hazards; Predictive models; Soil; Tellurium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
  • Print_ISBN
    0-7803-3836-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.1997.615220
  • Filename
    615220