• DocumentCode
    2676352
  • Title

    Estimating vegetation fractional coverage for temperate grassland in northern China based on remotely sensed data and rainfall time series

  • Author

    Li, Xiaobing ; Wang, Hong ; Fu, Na ; Wang, DanDan ; Zhang, Li

  • Author_Institution
    Beijing Normal Univ., Beijing
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    3394
  • Lastpage
    3396
  • Abstract
    A linear unmixing model considering NDVI and rainfall is used to estimate vegetation fractional coverage, which wet season precipitation and sensitivity of mean NDVI to wet season precipitation are used as state variables in the model. The fractional coverage for each 8 times 8-km area in this region is classified into three categories: (1) a portion of the land surface that always remains as bare soil, fcb; (2) a portion of the fractional coverage that is shrubs, fcs; (3) a remaining portion that consists of bare soil and grasses cover, fcg/b. Study results of average fractional coverage from 1982 to 1999 show that, the fractional coverage of bare soil indicates a clear decrease from West to East, and that of shrubs indicates a general increase, which is not similar to variability of the mean precipitation of wet season.
  • Keywords
    rain; remote sensing; soil; time series; vegetation; AD 1982 to 1999; NDVI; bare soil; grass cover; land surface; linear unmixing model; northern China; rainfall time series; remotely sensed data; shrubs; temperate grassland; vegetation fractional coverage; wet season precipitation; Calcium; Ecosystems; Educational technology; Land surface; Land surface temperature; Soil; Spatial resolution; State estimation; Surface topography; Vegetation mapping; NDVI; rainfall time series; temperate grassland; vegetation fractional coverage;
  • 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.2007.4423573
  • Filename
    4423573