• DocumentCode
    1507052
  • Title

    Parameterization of surface polarized reflectance derived from POLDER spaceborne measurements

  • Author

    Nadal, Florence ; Breon, F.-M.

  • Author_Institution
    CEA, Centre d´´Etudes Nucleaires de Saclay, Gif-sur-Yvette, France
  • Volume
    37
  • Issue
    3
  • fYear
    1999
  • fDate
    5/1/1999 12:00:00 AM
  • Firstpage
    1709
  • Lastpage
    1718
  • Abstract
    Two months of spaceborne POLDER polarization measurements have been used to generate empirical surface bidirectional polarization distribution functions (BPDFs). Eleven surface classes have been defined based on a surface classification and a vegetation index. Within each class, the surface polarized reflectance was found rather homogeneous. The surface polarized reflectance is highly anisotropic and varies between 0 close to the backscattering direction, and a few percent in the forward scattering direction. For a given observation geometry, the polarization is about twice as large over the pixels classified as “desert” than over vegetated surfaces. An empirical function with two parameters fits the estimated surface polarized reflectance with a residue on the order of 10-3 in reflectance units. An analysis of top-of-the-atmosphere (TOA) polarized reflectance over specific sunphotometer sites where the atmospheric contribution is well characterized confirms the estimated accuracy of 10-3
  • Keywords
    geophysical techniques; polarimetry; remote sensing; terrain mapping; vegetation mapping; BPDF; IR imaging; POLDER; bidirectional polarization distribution function; geophysical measurement technique; land surface; optical imaging; parameterization; polarimetry; polarization; polarized reflectance; satellite remote sensing; surface polarized reflectance; terrain mapping; vegetation mapping; Aerosols; Atmospheric measurements; Land surface; Light scattering; Optical polarization; Optical surface waves; Reflectivity; Rough surfaces; Surface roughness; Wavelength measurement;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.763292
  • Filename
    763292