Deriving a Global and Hourly Data Set of Aerosol Optical Depth over Land Using Data from Four Geostationary Satellites: GOES-16, MSG-1, MSG-4, and Himawari-8
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, China; State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Inst. of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing Normal University, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Department of Electronics, Computing and Mathematics, College of Engineering and Technology, University of Derby, Derby, DE22 1GB, United Kingdom; Institute of Environmental Physics, University of Bremen, Bremen, 28359, Germany; College of Resources and Environmental Science, Ningxia University, Yinchuan, 750021, China
Recommended Citation:
Xie Y.,Xue Y.,Guang J.,et al. Deriving a Global and Hourly Data Set of Aerosol Optical Depth over Land Using Data from Four Geostationary Satellites: GOES-16, MSG-1, MSG-4, and Himawari-8[J]. IEEE Transactions on Geoscience and Remote Sensing,2020-01-01,58(3)