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《Remote Sensing Technology and Application》 2017-06
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Retrieving Aerosol Optical Depth Over Land based on GOCI Data Onboard Geostationary Satellite

Chen Jian;Zhou Jie;Li Yawen;Nanjing University of Information Science & Technology;  
The aerosol optical depth were retrieved using deep-blue algorithm based on the GOCI data of 72 clear-sky days in 2013 over the Yangtze River Delta,and then were validated by field data from two measured sites.The results show that the GOCI data can be used for inversion of land aerosols,and both sites show high accuracy.The fitting degree of Beichenlou station of Nanjing University of Information Science and Technology is 0.659,and that of AERONET station is 0.747,which shows good agreement compared with MODIS aerosol products.At the same time,it is found that the aerosol products based on the GOCI data of the stationary satellite have the ability to monitor the diurnal variation of aerosol and provide the basis for the aerosol dynamic diffusion and the climate effect study.
【Fund】: 国家自然科学基金项目“城市街道峡谷气温时空分布与变化机制模拟研究”(41571418);; 中国科学院太空应用重点实验室开放基金“长时间序列地表热环境监测与变化分析”(LSU-2016-06-02);; 江苏省基础研究计划(自然科学基金BK20130992)
【CateGory Index】: X513;X87
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