• DocumentCode
    801292
  • Title

    Regional aerosol retrieval results from MISR

  • Author

    Martonchik, John V. ; Diner, David J. ; Crean, Kathleen A. ; Bull, Michael A.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    40
  • Issue
    7
  • fYear
    2002
  • fDate
    7/1/2002 12:00:00 AM
  • Firstpage
    1520
  • Lastpage
    1531
  • Abstract
    Examples of aerosol retrieval results, derived from the Multi-angle Imaging SpectroRadiometer (MISR) on the Earth Observation Science (EOS) Terra platform, are shown and the performance of the retrieval algorithms are discussed, following the first 18 months of operational data processing. A number of algorithm modifications were implemented, based on an analysis of aerosol retrieval results during this period, and these changes are described. Two cloud-screening algorithms, the angle-to-angle smoothness and angle-to-angle correlation tests, which were used in the preprocessing phase of the analyses are also described. The aerosol retrieval examples cover a wide variety of conditions, both over land and water. Particular aerosol types include dust clouds, forest fire and volcanic plumes, and localized dense haze. Finally, some ideas are discussed for additional improvement of the MISR aerosol data product, based on the experience gained in analyzing multiangle data and the associated geophysical products.
  • Keywords
    aerosols; atmospheric composition; atmospheric techniques; geophysical signal processing; remote sensing; IR; MISR; Multi-angle Imaging SpectroRadiometer; angle-to-angle correlation; angle-to-angle smoothness; atmosphere; cloud-screening algorithm; infrared; measurement technique; optical remote sensing; preprocessing phase; regional retrieval; retrieval algorithm; satellite remote sensing; visible; Aerosols; Algorithm design and analysis; Clouds; Data processing; Earth Observing System; Geoscience; Image retrieval; Information retrieval; Spectroradiometers; Testing;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2002.801142
  • Filename
    1025518