DocumentCode :
2319020
Title :
Study on the retrieval of MODIS 1- km aerosol optical thickness combining extended dark object method and V5.2 algorithm over Beijing
Author :
Jiang, Zhe ; Chen, Liangfu ; Su, Lin ; Zhou, Chunyan
Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
fYear :
2009
fDate :
20-22 May 2009
Firstpage :
1
Lastpage :
5
Abstract :
Atmospheric aerosol plays a significant role in radiative budget, climate change, hydrological processes, and the global carbon, nitrogen and sulfur cycles. Aerosol optical thickness (AOT) is a key property used in the characterization of atmospheric aerosol. There is a relatively long history of the quantitative estimation of AOT from remotely sensed imagery; especially the dark object method has already made many progresses in the retrieval of AOT over the areas with low surface reflectance. Based on the analysis of the advantages and limits of dark object method, extended dark object method, V5.2 algorithm and four-branched decision method, we introduce a combined method to retrieve AOT over some areas around Beijing using moderate resolution imaging spectroradiometer (MODIS) data, the retrieval results are validated with AERONET data in Beijing and Xianghe sites.
Keywords :
aerosols; atmospheric boundary layer; atmospheric chemistry; atmospheric composition; atmospheric optics; atmospheric techniques; carbon; climatology; nitrogen; radiative transfer; remote sensing; sulphur; Beijing; C; China; MODIS data; Moderate Resolution Imaging Spectroradiometer; N; S; aerosol optical thickness; atmospheric aerosol; atmospheric reflection; climate change; dark object method; extended dark object method; four-branched decision method; global carbon; hydrology process; nitrogen cycle; radiative transfer; remote sensed image; sulfur cycle; Aerosols; Algorithm design and analysis; History; Image analysis; Image retrieval; Information retrieval; MODIS; Nitrogen; Optical sensors; Reflectivity; MODIS; V5.2 algorithm; aerosol optical thickness; extended dark object method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Urban Remote Sensing Event, 2009 Joint
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3460-2
Electronic_ISBN :
978-1-4244-3461-9
Type :
conf
DOI :
10.1109/URS.2009.5137505
Filename :
5137505
Link To Document :
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