• DocumentCode
    2210877
  • Title

    Soil Erosion Investigation Based on Multi-Source Spatial Information Integration

  • Author

    Zhan, Yunjun ; Wu, Yanyan ; Qi, Peipei

  • Author_Institution
    Coll. of Resources & Environ. Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    5121
  • Lastpage
    5124
  • Abstract
    This paper supposed a fast-estimation method about soil erosion intensity based on multi-source spatial information integration, taking an example of Yangxin County in the middle reach of Yangtze River. At first, under geographical background of research region impact factors are put forward; then, using remote sensing data and vegetation index model extracts the land use types information and vegetation coverage information; producing the slope graphic by DEM; withdrawing the rainfall and soil type; stack of slope graphic, land use type graphic and vegetation coverage graphic combining with soil erosion intensity classifying index. After computing the soil erosion degrade, we gain the erosion intensity degrade map and finally count annul average erosion modulus of this basin. The result shows that this fast-estimation method for soil erosion intensity is feasible.
  • Keywords
    erosion; geophysical techniques; soil; vegetation mapping; China; Yangtze River; Yangxin County; digital elevation map; erosion intensity degrade map; fast-estimation method; land use types information; multi-source spatial information integration; multivariate spatial information; remote sensing data; slope graphic; soil erosion; vegetation coverage graphic; vegetation coverage information; vegetation index model; Data mining; Degradation; Educational institutions; Graphics; Information analysis; Information technology; Rivers; Soil; Vegetation mapping; Water conservation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.1075
  • Filename
    5454652