• DocumentCode
    2122988
  • Title

    Deriving reciprocal kernel functional expression of Antarctic sea ice surface BRDF from field measurements

  • Author

    Li, Shusun ; Zhou, Xiaobing

  • Author_Institution
    Geophys. Inst., Alaska Univ., Fairbanks, AK, USA
  • Volume
    4
  • fYear
    2002
  • fDate
    24-28 June 2002
  • Firstpage
    2173
  • Abstract
    We investigate derivation of kernel functional expression of Antarctic sea ice surface BRDF using field measurements. Two new methods we developed recently are used to expand the scope and enhance the use of field albedo and reflectance measurements. The first normalizes, among ice stations of the same ice type, the BRDF difference caused by slight differences in the physical properties of the ice cover. The second method derives direct beam spectral albedo from hemispherical directional spectral reflectance measured under overcast skies using the reciprocity between them. The derived direct beam spectral albedo estimates cover the full range of solar zenith angles. We combine the resulting data sets together to determine the coefficients of the BRDF kernel functions through stepwise linear regression. The derived BRDF kernel functional expression is representative of the ice type of interest, and is optimized in the sense that the ordinary limitation of narrow solar zenith angle range no longer exists. The resulting BRDF expression will contribute to improving derivation of sea ice surface albedo from remote sensing measurements.
  • Keywords
    oceanographic regions; oceanographic techniques; remote sensing; sea ice; Antarctic sea ice; BRDF; Southern Ocean; albedo; bidirectional reflectance distribution function; ice type; light scattering; measurement technique; ocean; optics; reciprocal kernel functional expression; remote sensing; sea ice; stepwise linear regression; Antarctica; Atmospheric modeling; Geophysical measurements; Ice surface; Kernel; Reflectivity; Remote sensing; Sea ice; Sea measurements; Sea surface;
  • 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.2002.1026483
  • Filename
    1026483