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Study on errors propagation in synchronous atmospheric correction for HJ-2 satellites
Author(s): Weizhen Hou; Zhengqiang Li; Chaoyu Song; Jun Lin; Yan Ma; Bangyu Ge; Fengxun Zheng
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Paper Abstract

Environment-2 (HJ-2) satellites will be launched after 2019, which are designed as the successor of Environment-1 (HJ- 1) satellites in Chinese Environment and Disaster Monitoring and Prediction Satellite Constellation. Different from HJ-1 satellites, a new multispectral single-viewing polarimetric instrument called Polarized Scanning Atmospheric Corrector (PSAC) will be onboard on HJ-2 satellites, and further provide the aerosol properties for synchronous atmospheric correction of the main sensors, such as the multispectral charge-coupled device (CCD) cameras onboard the same satellite. In this way, the multispectral surface reflectance could be further obtained from the remote sensing measurements of CCD cameras by the atmospheric correction with the retrieved aerosol properties from PSAC. In this paper, based on the optimal estimation (OE) theory and information content analysis method, we have a preliminary study on the propagation errors from the retrieved aerosol properties to multispectral surface reflectance in the process of synchronous atmospheric correction. The priori information and errors for the analysis are assumed based on the measurement noise of CCD cameras and a priori error of retrieved aerosol optical depth (AOD), as well as typical multispectral reflectance from USGS and ASTER spectral library. For the simulation of synthetic measurements of CCD cameras, Unified Linearized Vector Radiative Transfer Model (UNL-VRTM) has been used as the forward model. By this means, the posterior errors of multispectral surface reflectance are calculated, and the errors propagations can be evaluated theoretically, which can further provide key support for the study of synchronous atmospheric correction in HJ-2 satellites.

Paper Details

Date Published: 18 December 2019
PDF: 6 pages
Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 113380V (18 December 2019); doi: 10.1117/12.2542736
Show Author Affiliations
Weizhen Hou, Institute of Remote Sensing and Digital Earth (China)
Zhengqiang Li, Institute of Remote Sensing and Digital Earth (China)
Chaoyu Song, China Ctr. for Resources Satellite Data and Application (China)
Jun Lin, China Ctr. for Resources Satellite Data and Application (China)
Yan Ma, Institute of Remote Sensing and Digital Earth (China)
Bangyu Ge, Institute of Remote Sensing and Digital Earth (China)
Fengxun Zheng, Institute of Remote Sensing and Digital Earth (China)


Published in SPIE Proceedings Vol. 11338:
AOPC 2019: Optical Sensing and Imaging Technology
John E. Greivenkamp; Jun Tanida; Yadong Jiang; HaiMei Gong; Jin Lu; Dong Liu, Editor(s)

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