• DocumentCode
    2712756
  • Title

    Estimating 3D canopy´s gap fraction using photographic method

  • Author

    Wang, Jiangeng ; Feng, Xuezhi ; Xiao, Pengfeng

  • Author_Institution
    Dept. of Geogr. Inf. Sci., Nanjing Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Gap fraction, which is the probability that a light penetrates through the canopy unintercepted and reaches the surface under the canopy, is characteristic geometric parameter of canopy´s structure, and has great influence on radiative transfer of the vegetation. In this article, a photographic method was introduced to efficiently and accurately calculate the gap fraction of three-dimensional (3D) canopies. The 3D structures generated by the Clumped Architecture Model of Plants (CLAMP). The key parameters of CLAMP model include sowing scheme, clumping index, average leaf angle and leaf area index. By analyzing the sensitivity of these parameters to gap fraction, the changing features of gap fraction were found. The research of this article shows that photographic method is a powerful way to quantitatively study vegetation by remote sensing technology, and has potential of wider applications.
  • Keywords
    geophysical image processing; photographic applications; radiative transfer; remote sensing; vegetation; 3D canopy; 3D structure; average leaf angle; clumped architecture model of plants; clumping index; gap fraction estimation; leaf area index; photographic method; radiative transfer; remote sensing technology; sowing scheme; vegetation; Anisotropic magnetoresistance; Clamps; Computational modeling; Indexes; Remote sensing; Solid modeling; Three dimensional displays; 3D canopy; CLAMP; gap fraction; photographic m ethod;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5981081
  • Filename
    5981081