• DocumentCode
    814568
  • Title

    Sensitivity of an atmospheric correction algorithm for non-Lambertian vegetation surfaces to atmospheric parameters

  • Author

    Gratzki, Annegret ; Gerstl, Siegfried A W

  • Author_Institution
    Los Alamos Nat. Lab., NM, USA
  • Volume
    27
  • Issue
    3
  • fYear
    1989
  • fDate
    5/1/1989 12:00:00 AM
  • Firstpage
    326
  • Lastpage
    331
  • Abstract
    An atmospheric correction algorithm has been proposed by S.A.W. Gerstl and C. Simmer (1986) that removes atmospheric perturbations from off-nadir radiances measured at the top of the atmosphere in the visible and near-infrared wavelength regions. The correction formalism requires as minimum information the total optical depth of the atmosphere and the surface albedo. The sensitivity of the model to assumptions about the aerosol scattering phase function, the single scattering albedo, and the vertical profile of the optical depth are tested. The authors find that the forward scattering asymmetry must be known most accurately to perform a reliable atmospheric correction for aerosol-laden atmospheres when high-resolution and off-nadir imagery is considered and the surface bidirectional reflectance distribution function is to be retrieved.<>
  • Keywords
    aerosols; atmospheric light propagation; geophysical techniques; light absorption; light scattering; radiative transfer; remote sensing; 0 to 70 km; 650 to 850 nm; Earth surface remote sensing; aerosol scattering phase function; aerosol-laden atmospheres; atmosphere total optical depth; atmospheric correction algorithm; atmospheric parameters; atmospheric perturbations; coniferous forest; forward scattering asymmetry; high-resolution imagery; near-IR; near-infrared wavelength regions; nonLambertian vegetation surfaces; off-nadir radiances; optical depth vertical profile; savannah; single scattering albedo; surface albedo; surface bidirectional reflectance distribution; visible; Aerosols; Atmosphere; Atmospheric measurements; Atmospheric modeling; Atmospheric waves; Optical scattering; Optical sensors; Optical surface waves; Testing; Wavelength measurement;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.17674
  • Filename
    17674