DocumentCode
484374
Title
Regional Quantitative Retrieval of Aerosol Optical Depth using Terra and Aqua MODIS Data
Author
Bai, Linyan ; Xue, Yong ; Guang, Jie ; Wang, Ying ; Li, Yingjie ; Wan, Wei
Author_Institution
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing
Volume
3
fYear
2008
fDate
7-11 July 2008
Abstract
With the launches of the MODIS sensors on the Terra and Aqua spacecrafts, new data sets of the Earth surface are obtained, and a aerosol retrieval model by exploiting the synergy of Terra and Aqua MODIS data was promoted. Thereafter, its aerosol optical depth products have been continuously evaluated and validated. Most of these validation studies have shown that although MODIS generally derived aerosol optical depth to within the expected error, MODIS tended to poor quality when there is a visible difference in aerosol size distributions between the two pass observations time. To solve this problem, the model was improved, one visible channel was import, and the model was reconstructed. In order to validate what were mentioned above, a case study over Beijing was provided, and preliminary validations have been carried out by comparing with AERONET measured data. This algorithm has been tested. Compared with co-located AERONET site, the new MODIS algorithm retrieves aerosol optical depth more accurately than the previous. MODIS/AERONET tau regression has an equation of y = 1.0496x - 0.0106, R2 = 0.9931.
Keywords
aerosols; remote sensing; AERONET data; AErosol RObotic NETwork; Aqua spacecraft; Beijing; China; Earth surface; MODIS sensor; Moderate Resolution Imaging Spectroradiometer; Terra spacecraft; aerosol optical depth; aerosol retrieval SYNTEM model; aerosol retrieval model; aerosol size distribution; Aerosols; Earth; Information retrieval; Land surface; MODIS; Optical scattering; Optical sensors; Optical surface waves; Remote sensing; Sea surface; Aerosol Optical Thickness; Land Surface; MODIS; Quantitative; Retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4779505
Filename
4779505
Link To Document