• DocumentCode
    2201728
  • Title

    Aerosol optical depth retrieval over Arctic region using AATSR data

  • Author

    LinLu Mei ; Istomina, Larysa ; Von Hoyningen-Huene, Wolfgang ; Yong Xue ; Kokhanovsky, Alexander A.

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2556
  • Lastpage
    2559
  • Abstract
    Istomina (2011) presented a dual-view approach using Advanced Along-Track Scanning Radiometer (AATSR) onboard ENVISAT for Arctic AOD retrieval. In this paper, some improvements have been done. One improvement is that we use more physical-based dual-view estimation without assumption. Another improvement is to include the more appropriate snow Bidirectional Reflectance Distribution Function (BRDF) ratio estimation from pure snow BRDF model given by Kokhanovsky et al (2005) together with Snow Cover Fraction (SFC), in order to get more appropriate surface properties during retrieval. Simple compare between Istomina´s algorithm and the algorithm described in the paper show the approach described in the paper also provides reasonable results without correction from Raditive Transfer Model (RTM) like SCIATRAN.
  • Keywords
    aerosols; atmospheric optics; atmospheric techniques; radiative transfer; radiometers; radiometry; remote sensing; snow; AATSR data; Advanced Along Track Scanning Radiometer; Arctic AOD retrieval; Arctic region; ENVISAT AATSR; RTM; SCIATRAN; SFC; aerosol optical depth; bidirectional reflectance distribution function; physical based dual view estimation; pure snow BRDF model; radiative transfer model; snow BRDF ratio estimation; snow cover fraction; Abstracts; Atmospheric measurements; Atmospheric modeling; Equations; Ice; Mathematical model; Scattering; AATSR; Aerosol optical depth; Arctic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350958
  • Filename
    6350958