Retrieval of Aerosol Optical Depth for Chongqing Using the HJ-1 Satellite Data

作     者：Zengwu WANG Shiqi YANG Qiaolin ZENG Yongqian WANG Zengwu WANG Shiqi YANG Qiaolin ZENGl Yongqian WANG

作者机构：College of Environmental and Resource ScienceChengdu University of Information Technology Chongqing Institute of Meteorological Sciences 

出 版 物：《Journal of Meteorological Research》 (气象学报（英文版）)

年 卷 期：2017年第31卷第3期

页      面：586-596页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 0707[理学-海洋科学] 08[工学] 0815[工学-水利工程] 0706[理学-大气科学] 0816[工学-测绘科学与技术] 0824[工学-船舶与海洋工程] 0825[工学-航空宇航科学与技术] 0713[理学-生态学] 

基　　金：Supported by the National Natural Science Foundation of China(41631180 and 41471305) Sichuan Youth Science Fund(2015JQ0037) Chongqing Meteorological Bureau Open Fund(kfjj-201402) China Meteorological Administration Special Fund for Forecasting(CMAHX20160406) Sichuan Province Department of Education Innovation Team Fund(16TD0024) 

主　　题：aerosol optical depth HJ-1 satellite dark pixels algorithm deep blue algorithm 

摘      要：Aerosol optical depth （AOD） is a common indicator applied in monitoring aerosols in the atmosphere. The hilly landscape and rapid economic growth of the megacity Chongqing have facilitated increased aerosol concentration, and it is meaningful to accurately retrieve AOD over Chongqing. The HJ-1A/B satellite of China carries a sensor/camera called the Charge Coupled Device （CCD）, the spatial resolution of which meets the requirement for re- trieving high resolution AOD. In this paper, analysis of the AOD retrievals from different methods using the H J-1 satellite data revealed the most suitable algorithm. Through comparison with the AOD product of Moderate Resolu- tion Imaging Spectroradiometer （MODIS）, the AOD retrieval results using enhanced vegetation index （EVI） to estim- ate dark pixels showed the highest correlation. The continental aerosol model was used to build a lookup table that was able to facilitate a good AOD retrieval for both city and rural areas. Finally, the algorithm that combined dark pixels, buffer areas, and the deep blue algorithm was found to be most suitable for AOD retrieval. The AOD retrieval results based on the HJ-1 data were consistent with MODIS products, and our algorithm yields reasonable results in most cases. The results were also compared with ground-based PMl0 measurements synchronized with the overpass time of the HJ-1 satellite, and high correlation was found. The findings are relevant to other Chinese satellite data used for retrieving AOD on the same channels.