Trend analysis of the aerosol optical depth over China using fusion of MODIS and MISR aerosol products via adaptive weighted estimate algorithm

Jing Guo; Xingfa Gu; Tao Yu; Tianhai Cheng; Hao Chen; Donghai Xie

doi:10.1117/12.2024687

23 September 2013 Trend analysis of the aerosol optical depth over China using fusion of MODIS and MISR aerosol products via adaptive weighted estimate algorithm

Jing Guo, Xingfa Gu, Tao Yu, Tianhai Cheng, Hao Chen, Donghai Xie

Author Affiliations +

Proceedings Volume 8866, Earth Observing Systems XVIII; 88661X (2013) https://doi.org/10.1117/12.2024687
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

Atmospheric aerosol play an important role in the climate change, though direct and indirect processes¹. To evaluate the effects of aerosols on climate it is necessary to estimate their spatial and temporal distributions². Since 2000, the Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi-angle Imaging Spectroradiometer (MISR) have been providing global aerosol products³. However, the uncertainties still exist in current satellite aerosol products attributable to the complex surface, cloud contamination, and aerosol models used in the retrieving process⁵. Comparing to AERONET AOD, the larger magnitude and different variation tendency in AOD for both sensors indicate that either individual aerosol product may not be good application over China. Combing multiple sensors is a method to reduce uncertainties and improve observational accuracy. An adaptive weighted estimate algorithm of multi-sensor data fusion was presented, which could adjust the fused sensor’s weight in time according to the variation in sensor’s variance. The combined AOD product using the fusion method is in better agreement with corresponding AOD from AERONET than single sensor, which illustrate the fusion method performs better applicability in China. The fusion method can reduce uncertainties both sensors and expand the scope of the distribution in AOD. Using the latest ten-year (2002-2010) fusion product, we study the trend analysis of the aerosol optical depth over typical regions in China. The increasing trend is found over Jingjintang and Yangtze River Delta, which are highly associated with human activities.

Citation Download Citation

Jing Guo, Xingfa Gu, Tao Yu, Tianhai Cheng, Hao Chen, and Donghai Xie "Trend analysis of the aerosol optical depth over China using fusion of MODIS and MISR aerosol products via adaptive weighted estimate algorithm", Proc. SPIE 8866, Earth Observing Systems XVIII, 88661X (23 September 2013); https://doi.org/10.1117/12.2024687

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