• DocumentCode
    1130233
  • Title

    Modeling the gap probability of a discontinuous vegetation canopy

  • Author

    Li, Xiaowen ; Strahler, Alan H.

  • Author_Institution
    Inst. of Remote Sensing Appl., Chinese Acad. of Sci., Beijing, China
  • Volume
    26
  • Issue
    2
  • fYear
    1988
  • fDate
    3/1/1988 12:00:00 AM
  • Firstpage
    161
  • Lastpage
    170
  • Abstract
    A model is presented for the gap probability of a discontinuous vegetation canopy, such as forest, savanna, or shrubland. The case in which the distribution of individual canopy sizes and shapes is known and individual canopies are randomly distributed but do not overlap, and the case in which the canopies to intersect and/or overlap such that foliage density remains constant with the overlap area are both considered, although an exact solution is provided only for the latter. A comparison of modeled gap probabilities with observed gap probabilities for a Maryland (US) pine stand (as taken from the literature) shows good agreement for zenith angles of illumination up to about 45°. Above 45°, the fit worsens, presumably because the horizontal branch structure of the pine canopy is less attenuating as the illumination angle approaches the horizon
  • Keywords
    geophysical techniques; remote sensing; Maryland; clearing; discontinuous vegetation canopy; foliage density; forest; gap probability; pine stand; remote sensing; savanna; shrubland; spacing; technique; Frequency; Geography; Geology; Lighting; NASA; Optical attenuators; Reflectivity; Remote sensing; Shape; Vegetation mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.3017
  • Filename
    3017