• DocumentCode
    291761
  • Title

    Retrieval of surface reflectance and atmospheric properties

  • Author

    Martonchik, John V. ; Conel, James E.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    8-12 Aug 1994
  • Firstpage
    1661
  • Abstract
    Spectral aerosol optical depths and surface hemispherical directional reflectance factors and bihemispherical reflectances are retrieved using multi-angle imagery taken by the Airborne Advanced Solid-State Array Spectroradiometer (ASAS). The retrievals were performed using algorithms being devised for use by the Multiangle Imaging SpectroRadiometer (MISR) which will fly on the EOS-AM1 spacecraft in 1998. As part of its science mission MISR will produce global coverage of both aerosol amounts and surface reflection properties. ASAS imagery are unique datasets for use in testing the efficacy of the MISR retrieval algorithms
  • Keywords
    aerosols; atmospheric composition; atmospheric optics; atmospheric spectra; atmospheric techniques; geophysical signal processing; geophysical techniques; infrared imaging; meteorology; optical information processing; remote sensing; ASAS; Airborne Advanced Solid-State Array Spectroradiometer; MISR; Multiangle Imaging SpectroRadiometer; aerosol optical depth; algorithm; atmosphere optics; atmospheric properties; bihemispherical reflectance; geophysical measurement technique; land surface terrain mapping; light scattering; meteorology; multi-angle imagery; multispectral remote sensing; remote sensing; retrieval; surface hemispherical directional reflectance factors; surface reflectance; visible IR infrared spectra; Aerosols; Image retrieval; Optical arrays; Optical imaging; Optical reflection; Reflectivity; Solid state circuits; Space vehicles; Spectroradiometers; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
  • Conference_Location
    Pasadena, CA
  • Print_ISBN
    0-7803-1497-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1994.399530
  • Filename
    399530