• DocumentCode
    298454
  • Title

    Image-based derivation of aerosol optical depth to correct the atmospheric effect for satellite image

  • Author

    Liu, C.-H. ; Chen, A.J. ; Liu, G.R.

  • Author_Institution
    Center for Space & Remote Sensing Res., Nat. Central Univ., Chung-Li, Taiwan
  • Volume
    1
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    151
  • Abstract
    An image-based atmospheric correction model for a satellite image is proposed. By assuming Junge size distributed aerosol in the atmosphere and feeding back the new Junge parameter, not only the aerosol optical depth but also the Junge parameter, single scattering albedo and phase function can be iteratively derived and converged from digital counts of dense-dark vegetation (DDV) in the green and red bands of the SPOT satellite image. Multiple scattering of path radiance for aerosol is taken into consideration. The accuracy of derived reflectance is assessed with field measurements
  • Keywords
    aerosols; atmospheric optics; atmospheric techniques; geophysical signal processing; image processing; reflectivity; remote sensing; Junge size distributed aerosol; SPOT satellite image; aerosol optical depth; atmospheric correction mode; atmospheric effect; dense-dark vegetation; digital counts; image-based derivation; multiple scattering; phase function; reflectance; satellite image; single scattering albedo; Aerosols; Atmosphere; Atmospheric measurements; Atmospheric modeling; Optical scattering; Optical sensors; Particle scattering; Rayleigh scattering; Reflectivity; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.519675
  • Filename
    519675