• DocumentCode
    3001623
  • Title

    Dart Model Based Retrieval of Vegetation Parameters from POLDAR Data in Chengde Area, China

  • Author

    Chen, S.B. ; Jin, S.Y. ; Qin, W.H. ; Wang, M.C.

  • Author_Institution
    Dept. of Remote Sensing & GIS, Jilin Univ., Changchun, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Vegetation parameters are important to improve the performance of numerical weather prediction, global change monitoring, and ecosystem modeling. In the study, Discrete Anisotropic Radiative Transfer (DART) model is employed to simulate Bi-directional Reflectance Distribution Function (BRDF)of heterogeneous landscape scenes. The simulated BRDF is required to match the measured BRDF by the POLDER (POLarization and Directionality of the Earth´s Reflectances) at 9 spectral bands which range from 443 nm to 910 nm. Thus, the Leaf Area Index (LAI), fractional cover (Fcover), biomass of trunk and branch are retrieved successfully in Chengde Area, China.
  • Keywords
    climatology; ecology; geophysical techniques; vegetation; weather forecasting; Chengde Area; China; POLDER data; POLarization and Directionality of the Earth´s Reflectances; bidirectional reflectance distribution function; dart model; discrete anisotropic radiative transfer; ecosystem modeling; fractional cover; global change monitoring; leaf area index; numerical weather prediction; vegetation parameters; wavelength 443 nm to 910 nm; Atmospheric modeling; Biological system modeling; Biomass; Numerical models; Predictive models; Vegetation; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5630953
  • Filename
    5630953