• DocumentCode
    575899
  • Title

    Uncertainty from Lambertian surface assumption in satellite aerosol retrieval

  • Author

    Yang, Leiku ; Xue, Yong ; Li, Yingjie ; Li, Chi ; Guang, Jie ; He, Xingwei ; Dong, Jing ; Hou, Tingting

  • Author_Institution
    Sch. of Geogr., Beijing Normal Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3662
  • Lastpage
    3665
  • Abstract
    The retrieval of aerosol properties over land is more complicated due to the relatively strong contribution of the land surface reflectance to the radiation measured at the top-of-atmosphere (TOA). Another problem caused by the anisotropic earth surface which is a second order effect, can create systematic biases in the aerosol retrieval. But the simple Lambertian surface assumption is still widely used in most aerosol retrieval algorithms for the single satellite view. In this paper, radiative transfer simulations with coupling surface-atmosphere are employed to assess how much uncertainties are introduced from the Lambertian surface assumption in satellite aerosol optical depth (AOD) retrieval. The result shows that it has great impacts on aerosol retrieval especially at lower aerosol loading. The uncertainties mainly depend on the anisotropy of the target. The more difference lies between the reflectance along observing direction and the average ´ reflectance ρ̅t, ρ̅t, ρt of the whole BRDF surface, the larger error happens in aerosol retrieval.
  • Keywords
    aerosols; artificial satellites; radiative transfer; reflectivity; remote sensing; uncertainty handling; AOD retrieval; BRDF surface; Lambertian surface assumption; aerosol properties; anisotropic Earth surface; land surface reflectance; lower aerosol loading; radiative transfer simulations; satellite aerosol optical depth; satellite aerosol retrieval; surface-atmosphere coupling; systematic biases; top-of-atmosphere radiation; uncertainty; Aerosols; Land surface; Mathematical model; Reflectivity; Satellites; Sea surface; Uncertainty; BRDF surface; Lambertian surface; Uncertainty; aerosol optical depth (AOD); simulations;
  • 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.2012.6350622
  • Filename
    6350622