Validation and analyzation of MODIS aerosol optical depth products over China
LI Zhong-bin1,2, WANG Nan3, ZHANG Zi-li4, WANG Tian-tain5, TAO Jin-hua2, WANG Ping1, MA Shuang-liang3, XU Ben-ben2, FAN Meng2
1. College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China; 2. State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, China Academy of Sciences, Beijing 100101, China; 3. Henan Province Ecological Environment Monitoring Centre, Zhengzhou 450046, China; 4. Zhejiang Province Ecological Environment Monitoring Centre, Hangzhou 310012, China; 5. Jiangsu Province Environmental Monitoring Center, Nanjing 210019, China
Abstract:A new multi-angle atmospheric correction (MAIAC) algorithm was applied for the Moderate-resolution Imaging Spectroradiometer (MODIS) to provide global aerosol optical thickness (AOD) product with 1km resolution. The dark target (DT), the dark blue (DB) and the combined DT and DB (DTB) algorithms have also been optimized and updated. In this paper, the accuracy and applicability of 5MODIS AOD products with different resolutions over China were verified and analyzed in terms of season, region and landcover type. Moreover, the resampled MAIAC AOD data was compared with other AOD products on the pixel scales. Our results showed that compared with DT, DB and DTB AOD products, 1km MAIAC AOD product had a best agreement with the ground-based AERONET measurements with overall R2 of 0.891, Root Mean Squared Error (RMSE) of 0.126 and=Expected Error (EE) larger than 75%, and its accuracy was least impacted by season, region and landcover type. Especially, the R2 of 1km MAIAC AOD reached to 0.917 and the RMSE was only 0.111, and there was 80.11% of 1 km MAIAC AOD falling in the expected error envelops. The reliability of 3km DT AOD was higher than that of 1km MAIAC AOD over the regions larger fraction of vegetation cover (e.g. forest and cropland), while it was lower than that of 1km MAIAC AOD for grassland and urban regions with smaller fraction of vegetation cover. 3km DT AOD was always overestimated, especially, the most overestimation of 3km DT AOD by 62.2% (RMB=1.622) was in the summer. Although the DB algorithm was more applicable for the regions with bright surface (e.g. urban regions), the DB AOD product showed a significant underestimation over Yangtze River Delta (YRD) and Pearl River Delta (PRD) regions. The DTB AOD product combined the advantages of DT and DB AOD products. The correlation between the DTB AOD and the AERONET was always higher than that between the DB AOD and the AERONET AOD, and the overestimation of DTB AOD retrievals was lower than that of DT ones. With the same resolutions, the accuracy of the MAIAC AOD was better than DT, DB and DTB AOD products. Therefore, the MAIAC algorithm was more suitable to the air monitoring of urban agglomerations.
李忠宾, 王楠, 张自力, 王甜甜, 陶金花, 王萍, 马双良, 徐奔奔, 范萌. 中国地区MODIS气溶胶光学厚度产品综合验证及分析[J]. 中国环境科学, 2020, 40(10): 4190-4204.
LI Zhong-bin, WANG Nan, ZHANG Zi-li, WANG Tian-tain, TAO Jin-hua, WANG Ping, MA Shuang-liang, XU Ben-ben, FAN Meng. Validation and analyzation of MODIS aerosol optical depth products over China. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(10): 4190-4204.
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