• DocumentCode
    9874
  • Title

    GOST2: The Improvement of the Canopy Reflectance Model GOST in Separating the Sunlit and Shaded Leaves

  • Author

    Weiliang Fan ; Jing Li ; Qinhuo Liu

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
  • Volume
    8
  • Issue
    4
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    1423
  • Lastpage
    1431
  • Abstract
    Accurately simulating the area ratios of the sunlit and shaded foliage in multiple-view angles presents a challenge in developing a geometric-optical (GO) model. GOST model by Fan et al.[1] proposed a high computationally demanding ray tracing method on this issue. In order to relax the computational restriction, a new hybrid canopy reflectance model GOST2 based on GOST is developed with a “ray tracing + GO” method, which is used for simulating the area ratios of the sunlit and shaded foliage. GOST2 shows the explicitly physical mechanism and has the capability in modeling the area ratios of the sunlit and shaded foliage on slopes. The area ratios of the four scene components of the five GO models, such as GOST2, GOST, the Li-Strahler model, the four-scale model, and Unified, are quantitatively evaluated. The canopy reflectances by the five GO models and the three-dimensional virtual canopy model are validated by the observed reflectance. It indicates that GOST2 is both reliable and computationally undemanding canopy reflectance model.
  • Keywords
    ray tracing; vegetation; vegetation mapping; 3D virtual canopy model; GOST2 model; Li-Strahler model; area ratios; computational restriction; four-scale model; geometric-optical model; hybrid canopy reflectance model GOST2; multiple-view angles; physical mechanism; ray tracing method; scene components; shaded foliage; shaded leaves; sunlit foliage; sunlit leaves; Computational modeling; Photonics; Ray tracing; Remote sensing; Shape; Solid modeling; Vegetation; Canopy reflectance; geometric-optical (GO) modeling; ray-tracing method; remote sensing;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2015.2413994
  • Filename
    7076580