• DocumentCode
    2858463
  • Title

    Estimating vegetation fractional Coverage of Steppe based on Multi-spatial Resolution Remotely Sensed images

  • Author

    Li, Xiao-bing ; Chen, Yun-Hao ; Chen, Zhi-Jun ; Zhang, Yun-Xia ; Wang, Hong

  • Author_Institution
    Key Lab. of Environ. Change & Natural Disaster of Minist. of Educ., Beijing Normal Univ., Beijing
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    1953
  • Lastpage
    1955
  • Abstract
    In this study, vegetation fractional coverage (VFC) of steppe was taken as the study object. Based on the Bottom-up method, we established the two-stage experiential model for estimating vegetation fractional coverage. In addition, this newly-established model is compared with sub-pixel model and common model that is acquired by simply regressing field data and remotely sensed data with moderate spatial resolution. The result suggests the two-stage experiential model for estimating vegetation fractional coverage successfully realize the aim of extending field data to local region, thereby making the spatial scale transformation of data true.
  • Keywords
    image sensors; remote sensing; vegetation; bottom-up method; digital camera; northern China; regressing field data; remote sensing image; spatial scale transformation; subpixel model; temperate typical steppe; vegetation fractional coverage estimation; Calibration; Digital cameras; Educational technology; Global Positioning System; Image resolution; MODIS; Regression analysis; Spatial resolution; Testing; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.505
  • Filename
    4241652