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
Link To Document :
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