• DocumentCode
    88155
  • Title

    Characterizing the Aerosol and Surface Reflectance Over Australia Using AATSR

  • Author

    Yi Qin ; Mitchell, Ross ; Forgan, Bruce W.

  • Author_Institution
    Oceans & Atmos. Flagship, Black Mountain Labs., CSIRO, Canberra, ACT, Australia
  • Volume
    53
  • Issue
    11
  • fYear
    2015
  • fDate
    Nov. 2015
  • Firstpage
    6163
  • Lastpage
    6182
  • Abstract
    We present a new algorithm that simultaneously retrieves aerosol properties and land surface bidirectional reflectance distribution function (BRDF) over Australian from Advanced Along-Track Scanning Radiometer images. Three key components are addressed: (1) an analytical radiative transfer formulation, based on Green´s function, linking top-of-atmosphere (TOA) reflectance to the surface BRDF; (2) a novel approach to modeling BRDF using an extended compositing period; and (3) a set of representative aerosol models based on a published typology of Australian aerosols. Due to the generally low aerosol loadings and widespread bright surfaces over Australia, BRDF modeling is crucial. By using a 9-month compositing period, 90% of the Australian continent can be modeled with an error in the forward-to-nadir reflectance ratio of 2.5% or less. Comparison with suitably processed Moderate Resolution Imaging Spectroradiometer BRDF/albedo products demonstrates satisfactory agreement. For the studying period from 2002 to 2008, validation of aerosol optical depth (AOD) against eight sun photometers across Australia encompassing widely different atmospheric and surface regimes shows high accuracy, with a mean absolute error in AOD at 550 nm of 0.03 and a bias of 0.007. About 60% of the matchup points are within an absolute error of 0.03, 80% are within 0.05, and 96% are within 0.1. The algorithm selects for each cell an optimal aerosol type from a set of four predefined candidate models. Continental aerosol maps derived from the new method indicate broadscale agreement with known seasonal aerosol sources, while providing new insights into the spatial and temporal distributions of aerosol over the Australian continent.
  • Keywords
    Green´s function methods; aerosols; atmospheric optics; atmospheric radiation; atmospheric techniques; error analysis; geophysical image processing; photometers; radiometers; remote sensing; AATSR; Australian aerosols; Australian continent; BRDF model; Green function; advanced along-track scanning radiometer images; aerosol loadings; aerosol maps; aerosol optical depth; aerosol properties; albedo product; atmospheric regimes; compositing period; extended compositing period; forward-to-nadir reflectance ratio; land surface bidirectional reflectance distribution function; mean absolute AOD error; moderate resolution imaging spectroradiometer; radiative transfer formulation; seasonal aerosol sources; sun photometers; surface regimes; Aerosols; Australia; Clouds; Land surface; MODIS; Sea surface; Sun; Advanced Along-Track Scanning Radiometer (AATSR); aerosols; bidirectional reflectance distribution function (BRDF); green´s function; radiative transfer; remote sensing;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2015.2433911
  • Filename
    7117398