In-Orbit Test of the Polarized Scanning Atmospheric Corrector (PSAC) Onboard Chinese Environmental Protection and Disaster Monitoring Satellite Constellation HJ-2 A/B

Zhengqiang Li(Chinese Academy of Sciences), Yanqing Xie(Chinese Academy of Sciences), Weizhen Hou(Chinese Academy of Sciences), Zhenhai Liu(Chinese Academy of Sciences), Zhaoguang Bai, Jin Hong(Chinese Academy of Sciences), Yan Ma(Chinese Academy of Sciences), Honglian Huang(Chinese Academy of Sciences), Xuefeng Lei(Chinese Academy of Sciences), Xiaobing Sun(Chinese Academy of Sciences), Xiao Liu(Chinese Academy of Sciences), Benyong Yang(Chinese Academy of Sciences), Yanli Qiao(Chinese Academy of Sciences), Jun Zhu, Qiang Cong, Yang Zheng(Chinese Academy of Sciences), Maoxin Song(Chinese Academy of Sciences), Peng Zou(Chinese Academy of Sciences), Zhongzheng Hu(China Centre for Resources Satellite Data and Application), Jun Lin(China Centre for Resources Satellite Data and Application), Lanlan Fan(China Centre for Resources Satellite Data and Application)
IEEE Transactions on Geoscience and Remote Sensing
January 1, 2022
Cited by 47

Abstract

As the successors of the overdue HuanjingJianzai-1 (HJ-1) satellites and new members in Chinese Environmental Protection and Disaster Monitoring Satellite Constellation, the first two of HuanjingJianZai-2 series satellites (HJ-2 A/B) have been launched on September 27, 2020. Each satellite carries four sensors, including the Polarized Scanning Atmospheric Corrector (PSAC), the charge-coupled device (CCD) camera, the hyperspectral imager (HSI) and the infrared spectroradiometer (IRS). Among them, PSAC is mainly used for the monitoring of atmospheric parameters to provide data support for atmospheric environmental monitoring and atmospheric correction of data from other sensors. To test the in-orbit performance of PSAC, we develop the “day-1” aerosol and water vapor retrieval algorithms. The preliminary validation results based on ground-based observations show that the aerosol optical depth (AOD) and columnar water vapor (CWV) datasets developed based on PSAC data have high accuracy and can effectively characterize the temporal trends of AOD and CWV. The accuracy of PSAC AOD dataset is better than the expected error ±(0.05 + 0.2 * AODAERONET), and the accuracy of PSAC CWV dataset is better than the expected error ±(0.5 + 0.15 * CWVAERONET). To eliminate the negative impact of the atmosphere on CCD data and expand its application range, aerosol and water vapor data developed based on PSAC are used for atmospheric correction of CCD data. Compared with L1 CCD data, the texture details and clarity of CCD data after atmospheric correction have been significantly improved.


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