• DocumentCode
    3357123
  • Title

    Research on PAR and FPAR of crop canopies based on RGM

  • Author

    Xie, DongHui ; Wang, Peijuan ; Liu, Rongyuan ; Zhu, Qijiang

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    1493
  • Lastpage
    1496
  • Abstract
    PAR and FPAR are two important variables in agricultural field. Some researches show that many factors, such as LAI (leaf area index), LAD (leaf ange distribution) and the heterogeneity of vegetation will affect the distribution of PAR and FPAR. In order to understanding the exchange process of material and energy, Radiosity-Graphics combined Model (RGM) (Qin et al., 2000) is used to simulate the distribution of PAR and FPAR in canopy and some effect factors, such as the structure of canopy and sun zenith angle, can be analyze carefully. PAR and FPAR of a typical winter wheat canopy is simulated and the results are validated with the measured data. They agreed well. Next work is to simulate and analyze several factors of the distribution of PAR and FPAR, including sun incident angle, LAD, LAI, special for the heterogeneous canopies such as that crop with width and narrow ridges which can direct cropping patterns and remote sensing inversion.
  • Keywords
    geophysical techniques; remote sensing; vegetation; Fraction of Absorbed Photosynthetically Active Radiation; Photosynthetically Active Radiation; agricultural field; canopy structure; leaf angle distribution; leaf area index; radiosity-graphics combined model; remote sensing; sun zenith angle; winter wheat canopy; Agriculture; Analytical models; Computational modeling; Data models; Mathematical model; Reflectivity; Remote sensing; FPAR; LAD; LAI; PAR; Radiosity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5652908
  • Filename
    5652908