Details

Autor(en) / Beteiligte

• Li, Zhengqiang
• Xie, Yanqing
• Hou, Weizhen
• Liu, Zhenhai
• Bai, Zhaoguang
• Hong, Jin
• Ma, Yan
• Huang, Honglian
• Lei, Xuefeng
• Sun, Xiaobing
• Liu, Xiao
• Yang, Benyong
• Qiao, Yanli
• Zhu, Jun
• Cong, Qiang
• Zheng, Yang
• Song, Maoxin
• Zou, Peng
• Hu, Zhongzheng
• Lin, Jun
• Fan, Lanlan

Titel

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

Ist Teil von

• IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-17

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2022

Quelle

IEEE Xplore

Beschreibungen/Notizen

• 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 (EE) ±(0.05 + 0.2 * AOD AERONET ), and the accuracy of PSAC CWV dataset is better than the EE ±(0.05 + 0.15 * CWV AERONET ). 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.