• DocumentCode
    1403066
  • Title

    Techniques for the retrieval of aerosol properties over land and ocean using multiangle imaging

  • Author

    Martonchik, John V. ; Diner, David J. ; Kahn, Ralph A. ; Ackerman, Thomas P. ; Verstraete, Michel M. ; Pinty, Bernard ; Gordon, Howard R.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    36
  • Issue
    4
  • fYear
    1998
  • fDate
    7/1/1998 12:00:00 AM
  • Firstpage
    1212
  • Lastpage
    1227
  • Abstract
    Aerosols are believed to play a direct role in the radiation budget of Earth, but their net radiative effect is not well established, particularly on regional scales. Whether aerosols heat or cool a given location depends on their composition and column amount and on the surface albedo, information that is not routinely available, especially over land. Obtaining global information on aerosol and surface radiative characteristics, over both ocean and land, is a task of the Multi-angle Imaging SpectroRadiometer (MISR), an instrument to be launched in 1998 on the Earth Observing System EOS-AM1 platform. Three algorithms are described that will be implemented to retrieve aerosol properties globally using MISR data. Because of the large volume of data to be processed on a daily basis, these algorithms rely on lookup tables of atmospheric radiative parameters and predetermined aerosol mixture models to expedite the radiative transfer (RT) calculations. Over oceans, the “dark water” algorithm is used, taking full advantage of the nature of the MISR data. Over land, a choice of algorithms is made, depending on the surface types within a scene-dark water bodies, heavily vegetated areas, or high-contrast terrain. The retrieval algorithms are tested on simulated MISR data, computed using realistic aerosol and surface reflectance models. The results indicate that aerosol optical depth can be retrieved with an accuracy of 0.05 or 10%, whichever is greater, and some information can be obtained about the aerosol chemical and physical properties
  • Keywords
    aerosols; atmospheric composition; atmospheric optics; atmospheric techniques; geophysical signal processing; remote sensing; EOS-AM1; Earth Observing System; IR method; MISR; Multi-angle Imaging SpectroRadiometer; aerosol properties; algorithm; atmosphere; dark water algorithm; infrared imaging; light scattering; lookup table; lookup tables; meteorology; multiangle imaging; optical depth; optical method; optics; radiative parameters; radiative transfer; retrieval algorithm; satellite remote sensing; Aerosols; Earth Observing System; Information retrieval; Instruments; Land surface; Oceans; Optical imaging; Sea surface; Spectroradiometers; Table lookup;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.701027
  • Filename
    701027