• DocumentCode
    2669930
  • Title

    Assessing vegetation degradation in Loess Plateau by using potential vegetation index

  • Author

    Sun, Jianguo ; Tinghua Ai ; Zhao, Chuanyan ; Yan, Haowen

  • Author_Institution
    Lanzhou Jiaotong Univ., Lanzhou
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    1794
  • Lastpage
    1797
  • Abstract
    The potential vegetation index determined by environmental conditions especially climate is the ideal baseline for assessing vegetation degradation based on remote sensing. After eliminating irrigated areas. This paper estimated the potential vegetation index by imitating upper borderline of scatter spots in the coordinates space of climate aridity index and remote sensing vegetation index. Then we assessed the vegetation degradation through comparing actual vegetation index with potential vegetation index. The climate aridity index is expressed by the ratio of Holdridge´s potential evapotranspiration and precipitation. The average value of SPOT VGT NDVI on July to September for many years is choosed as the vegetation index. As a result, potential vegetation index tends to saturation when aridity index is below 0.8. When aridity index is over 0.8, we can simulate potential vegetation index by a general index function. The degree of vegetation degradation takes on prominent spatial difference. On the whole, it is the most severe in the middle and the east of Gansu province and the south of Ningxia autonomous region.
  • Keywords
    atmospheric precipitation; climatology; evaporation; remote sensing; vegetation; Gansu province; Holdridge´s potential evapotranspiration; Ningxia autonomous region; climate aridity index; loess plateau; potential vegetation index; precipitation; remote sensing; vegetation degradation; Agricultural engineering; Degradation; Ecosystems; Humans; Mathematics; Physics; Remote sensing; Scattering; Software engineering; Vegetation; Loess Plateau; aridity index; potential vegetation index; vegetation degradation; vegetation index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423169
  • Filename
    4423169