• DocumentCode
    2915061
  • Title

    Building grid service on atmospheric radiative transfer simulation of remote sensing data

  • Author

    Zhan Shaobin ; Chen Shengbo ; Bao Yunfei

  • Author_Institution
    Shenzhen Inst. of Inf. Technol., Shenzhen
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    2427
  • Lastpage
    2430
  • Abstract
    The radiance leaving the Earth-atmosphere system which can be sensed by a satellite borne radiometer is the sum of radiation emission from the Earth surface and each atmospheric level that are transmitted to the top of the atmosphere. It can be separated from the radiance at the top the atmospheric level measured by radiometer. However, it is very difficult to measure the atmospheric radiance, especially the synchronous measurement with the satellite. Thus some atmospheric radiative transfer models (ARTM) have been developed to provide many options for modeling atmospheric radiation transport, the newly atmospheric ARTM, MODTRAN, will be researched after the atmospheric radiative transfer is described. And the simulation procedures and the applications to atmospheric transmittance, retrieval of atmospheric elements, and surface parameters, will also be presented. At the same time, the powerful computing resource was required which the urgent requirement of disposal plentiful data. When test area of atmospheric radiative transfer extends the state, even all of country, the computing capability in single computer fall short of demand. So we introduce the conception- ldquoGrid Servicerdquo, it can solve the problem commendably.
  • Keywords
    atmospheric radiation; geophysics computing; grid computing; radiative transfer; remote sensing; Earth-atmosphere system; MODTRAN; atmospheric radiance; atmospheric radiative transfer simulation; grid service; radiation emission; radiometer; remote sensing data; satellite borne radiometer; Atmosphere; Atmospheric measurements; Atmospheric modeling; Computational modeling; Land surface; Land surface temperature; Radiometry; Remote sensing; Satellite broadcasting; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-1822-0
  • Electronic_ISBN
    978-1-4244-1823-7
  • Type

    conf

  • DOI
    10.1109/CEC.2008.4631122
  • Filename
    4631122