• DocumentCode
    1803866
  • Title

    GIS-based soil erosion-prone evaluation of highway domain

  • Author

    Xingli, Jia ; Jinliang, Xu ; Hongzhi, Yang

  • Author_Institution
    Key Lab. for Special Area, Chang´´an Univ., Xi´´an, China
  • Volume
    3
  • fYear
    2011
  • fDate
    24-26 Dec. 2011
  • Firstpage
    2065
  • Lastpage
    2069
  • Abstract
    In order to predict the macro trend of soil and water loss within highway domain, the problem of soil erosion is studied. Used the pressure-state-response model and expert advice method, four factors, such as slope, slope length, vegetation coverage, rainfall were selected. The indexes were treated with dimension method, calculated the weight of evaluation indexes on the basis of entropy theory. Then, set up the soil and water loss-prone evaluation model of highway domain. Based on GIS and RS, analyzed the status of soil and water loss of highway domain in Qinghai Province. Used MATLAB tools, calculated the entropy of each index´s value and the entropy weight, and established the thematic map, finished the quantitative analysis of soil and water loss-prone evaluation.
  • Keywords
    entropy; erosion; geographic information systems; remote sensing; roads; soil; terrain mapping; GIS-based soil erosion-prone evaluation; MATLAB tools; Qinghai Province; entropy theory; expert advice method; highway domain; pressure-state-response model; rainfall; slope length; soil loss; thematic map; vegetation coverage; water loss-prone evaluation model; Agriculture; Application software; Educational institutions; Entropy; Indexes; Vegetation mapping; GIS; evaluation; highway; soil erosion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182377
  • Filename
    6182377