• DocumentCode
    2142443
  • Title

    Simulation of grassland-shrubland transition zone landscape images at 650 nm using a simple BRDF

  • Author

    Chopping, Mark J. ; Rango, Albert ; Goslee, Sarah ; Schmugge, Tom ; Ritchie, Jerry C.

  • Author_Institution
    USDA, ARS Jornada Exp. Range, Las Cruces, NM, USA
  • Volume
    6
  • fYear
    2002
  • fDate
    24-28 June 2002
  • Firstpage
    3561
  • Abstract
    The objective of this study was to assess the capability of a simple bidirectional reflectance distribution function (BRDF) model to simulate angular 650 nm (red wavelength) images of shrubland landscapes when driven by a small number of spatially-varying structural parameters (mean shrub density and width, together with derived mean canopy height and overall brightness), together with two static parameters (spectral reflectance of leaves and a parametric soil/understory BRDF). It was hypothesized that this simple parameterization will lead to important errors in reconstruction of directional (off-nadir) images, as acquired by a tilting multispectral digital camera at six different viewing directions and three different solar zenith angles in the principal plane. The results show that great care is needed in parameterizing the BRDF in this way and that variations in the brightness of the understory - here represented by grasses, forbs, subshrubs, biotic crusts and bare soil - has an important effect on modeled estimates of bidirectional reflectance in the red wavelengths.
  • Keywords
    geophysical techniques; vegetation mapping; 650 nm; BRDF; angular images; bidirectional reflectance distribution function; canopy structure; geophysical measurement technique; grass; grassland; landscape image; light scattering; model; optics; parameterization; red; remote sensing; shrub; shrubland; shrubs; simulation; spatially-varying structural parameters; transition zone; understory; vegetation mapping; visible; Bidirectional control; Brightness; Distribution functions; Optical sensors; Reflectivity; Remote sensing; Soil; Structural engineering; US Department of Agriculture; Wavelength measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1027249
  • Filename
    1027249