• DocumentCode
    2463220
  • Title

    Modeling of the potential vegetation index of steppe in the western part of the Chinese Loess Plateau

  • Author

    Qi, Pengcheng ; Cui, Yan

  • Author_Institution
    Sch. of Environ. Sci. & Tourism, Nanyang Normal Univ., Nanyang, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    5088
  • Lastpage
    5091
  • Abstract
    The Chinese Loess Plateau has experienced drastic human-induced land cover change in the last century. The Chinese government has planned a long-term project to restore the ecology and thus the environment. This effort requires the information of the ecological potential. This study presented a complete procedure for spatially modeling the potential vegetation index in arid Loess Plateau region. Spatially distributed wetness index was used to depict the environmental condition at each pixel. Enhanced Vegetation Index (EVI) of current steppe was obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) data. A statistical relationship between the wetness index and the MODIS EVI were established. Based on the statistical relationship, potential EVI was estimated at each pixel. The results show that: (1) the potential EVI ranges from 0.15 to 0.25, (2) actual EVI of irriguous farmlands is obviously greater than the potential EVI of them, and (3) actual EVI of urban area is lower than the potential EVI of them. We believe that the modeled result can effectively facilitate the vegetation restoration planning for this area. In addition, the result may function as a base against which to estimate the historic changes in land cover and land use.
  • Keywords
    geophysical image processing; statistical analysis; vegetation; vegetation mapping; Chinese Loess Plateau; Moderate Resolution Imaging Spectroradiometer; ecological potential; enhanced vegetation index; farmlands; land cover change; potential vegetation index; spatially distributed wetness index; statistical relationship; steppe; vegetation restoration planning; Earth; Indexes; MODIS; Pixel; Remote sensing; Vegetation; Vegetation mapping; evaporation; potential vegetation index; the Loess Plateau; wetness index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965458
  • Filename
    5965458