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Proceedings Paper

The evaluation of the applicability of MODIS AOD product in the lower and middle reaches of Yangtze River
Author(s): Yunzhu Chen; Runhe Shi; Chaoshun Liu; Yuanyuan Chen; Wei Gao
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Paper Abstract

As an index to estimate regional air quality, aerosol plays an important role in air pollution. MODIS has a fast access to a wide range of aerosol data, however, there is no guarantee for the accuracy of its AOD product in China. This paper attempts to evaluate the applicability of MODIS AOD product in the lower and middle reaches of Yangtze River supported by AERONET data from Lin'an, Taihu and Hefei sites. The author matched AERONET AOD within ±30 min of MODIS overpass times with MODIS AOD over one pixel-size centered on the AERONET site, then analyzed and evaluated the fitting results. The results indicated that MODIS AOD is well correlated with AERONET AOD from 2007 to 2008, except R2 is about 0.55 in 0.66μm band at Taihu site. MODIS AOD is underestimated at Lin'an site, while overestimated at the others. Similarity exists in the quality of MODIS AOD between Terra and Aqua, and the estimation of AOD by Terra was higher than that by Aqua. MODIS AOD in 0.47μm band has an advantage over that in 0.66μm as far as product accuracy is concerned. All the year, MODIS AOD is the best in quality in spring at Taihu site.

Paper Details

Date Published: 15 September 2011
PDF: 9 pages
Proc. SPIE 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII, 81560K (15 September 2011); doi: 10.1117/12.892367
Show Author Affiliations
Yunzhu Chen, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Runhe Shi, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Chaoshun Liu, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Yuanyuan Chen, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Wei Gao, Colorado State Univ. (United States)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
East China Normal Univ. (China)


Published in SPIE Proceedings Vol. 8156:
Remote Sensing and Modeling of Ecosystems for Sustainability VIII
Wei Gao; Thomas J. Jackson; Jinnian Wang; Ni-Bin Chang, Editor(s)

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