Improved Aerosol Optical Depth and angstrom ngstrom Exponent Retrieval Over Land From MODIS Based on the Non-Lambertian Forward Model
作者:Yang, LK (Yang, Leiku)[ 1,2,3 ] ; Xue, Y (Xue, Yong)[ 4,5 ] ; Guang, J (Guang, Jie)[ 4 ] ; Kazemian, H (Kazemian, Hassan)[ 5 ] ; Zhang, JH (Zhang, Jiahua)[ 4 ] ; Li, C (Li, Chi)[ 6 ]
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷: 11  期: 9  页: 1629-1633
DOI: 10.1109/LGRS.2014.2303317
出版年: SEP 2014

摘要
In this letter, an improved algorithm for aerosol retrieval is presented by employing the non-Lambertian forward model (forward model) (NL_FM) in the Moderate Resolution Imaging Spectroradiometer (MODIS) dark target (DT) algorithm to reduce the uncertainties induced when using the Lambertian FM (L_FM). This new algorithm was applied to MODIS measurements of the whole year of 2008 over Eastern China. By comparing the results with that of AERONET, we found that the accuracy of the aerosol optical depth (AOD) retrieval was improved with the regression plots concentrating around the 1 : 1 line and two-thirds falling within the expected error (EE) envelope EE = +/- 0.05 +/- 0.1T (from 53.6% with L_FM to 68.7% with NL_FM at band 0.55 mu m). Surprisingly, more accurate retrieval of the AOD demonstrated significantly improved the angstrom ngstrom exponent (AE) retrieval, which is related to particle size parameters. The regression plots tended to concentrate around the 1 : 1 line, and many more fell within the EE = +/- 0.4 from 53.6% with L_FM to 80.9% with NL_FM. These results demonstrate that including the NL_FM in the MODIS DT algorithm has the potential to significantly improve both AOD and AE retrievals with respect to AERONET in comparison to the L_FM used in the current MODIS operational retrievals.

通讯作者地址: Xue, Y (通讯作者)
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Lab Digital Earth Sci, Beijing 100101, Peoples R China.
地址:
[ 1 ] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[ 2 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100875, Peoples R China
[ 3 ] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454003, Peoples R China
[ 4 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Lab Digital Earth Sci, Beijing 100101, Peoples R China
[ 5 ] London Metropolitan Univ, Fac Life Sci & Comp, London N7 8DB, England
[ 6 ] Univ Chinese Acad Sci, Beijing 100049, Peoples R China