Determination of optimal solar-viewing geometry for in-flight polarization calibration using sun glint over ocean

The sun glint has been proven to be a valuable natural polarization calibration target because it is strongly polarized, and its polarization characteristics can be accurately simulated with models. It is convenient to calibrate the satellite’s in-flight polarimetry by comparing the polarization simulations with actual measurements. Meanwhile, the accuracy of polarization simulation at the top of the atmosphere (TOA) over sun glint is affected by several atmospheric and oceanic surface factors and depends on the specific solar-viewing geometry. In this paper, the sensitivity of the degree of linear polarization (DOLP) at the TOA to the uncertainties of the aerosol optical depth, aerosol model, absorption gas content (CWV, O 3 ), sea surface instantaneous wind speed (WS), and chlorophyll concentration (Chl) under different solar-viewing geometries is analyzed via radiative transfer simulation. The error budgets indicate that aerosols and WS are the main error factors for polarization calibration, while the uncertainties of Chl and absorbing gases can be disregarded. The total DOLP error increases with the solar zenith angle and viewing zenith angle (i.e., the increase of atmospheric optical path) and the sun glint angle (SGA, the angle between the viewing and the specular directions of the sun) (i.e., the decrease of sun glint brightness). The dependence of the total DOLP error on SGA decreases with the WS (i.e., the increase of sun glint spot area and the decrease of the sun glint intensity) and increases with the wavelength (i.e., the decrease of atmospheric scattering contribution). Based on the error budgets, an optimized solar-viewing geometry screening strategy is proposed to ensure that the simulated DOLP error is limited to 0.02. The in-flight DOLP calibration result of POLDER/PARASOL shows that the proposed screening strategy obtained more calibration samples and covered a wider range of DOLP, especially for the samples with DOLP of less than 0.2, compared with the screening strategies of Toubbe et al. [ IEEE Trans. Geosci. Remote Sens. 37 , 513 ( 1999 ) IGRSD2 0196-2892 10.1109/36.739104 ]and Hagolle et al. [ IEEE Trans. Geosci. Remote Sens. 42 , 1472 ( 2004 ) IGRSD2 0196-2892 10.1109/TGRS.2004.826805 ] in previous work. The smaller standard error (SE) of the samples indicates more stable calibration results obtained for the optimized strategy. This research presents an optimized strategy for screening the solar-viewing geometry of the samples to calibrate satellite in-flight polarization measurements using the sun glint.

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Publication Details

Journal
Applied Optics
Published
2024-10-14
DOI
https://doi.org/10.1364/ao.536792
Citations
3
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
1.04

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article

Determination of optimal solar-viewing geometry for in-flight polarization calibration using sun glint over ocean

Zhenting Chen, Zhengqiang Li, C. Lan, Changbao Yang et al.
3 citations
Applied Optics
Solar Radiation and Photovoltaics
1.04
article

Determination of optimal solar-viewing geometry for in-flight polarization calibration using sun glint over ocean

Zhenting Chen, Zhengqiang Li, C. Lan, Changbao Yang, Lili Qie, Ying Zhang, Hao Zhang, Hua Xu, Yisong Xie, Mengyao Zhu
article en
3 citations

Abstract

The sun glint has been proven to be a valuable natural polarization calibration target because it is strongly polarized, and its polarization characteristics can be accurately simulated with models. It is convenient to calibrate the satellite’s in-flight polarimetry by comparing the polarization simulations with actual measurements. Meanwhile, the accuracy of polarization simulation at the top of the atmosphere (TOA) over sun glint is affected by several atmospheric and oceanic surface factors and depends on the specific solar-viewing geometry. In this paper, the sensitivity of the degree of linear polarization (DOLP) at the TOA to the uncertainties of the aerosol optical depth, aerosol model, absorption gas content (CWV, O 3 ), sea surface instantaneous wind speed (WS), and chlorophyll concentration (Chl) under different solar-viewing geometries is analyzed via radiative transfer simulation. The error budgets indicate that aerosols and WS are the main error factors for polarization calibration, while the uncertainties of Chl and absorbing gases can be disregarded. The total DOLP error increases with the solar zenith angle and viewing zenith angle (i.e., the increase of atmospheric optical path) and the sun glint angle (SGA, the angle between the viewing and the specular directions of the sun) (i.e., the decrease of sun glint brightness). The dependence of the total DOLP error on SGA decreases with the WS (i.e., the increase of sun glint spot area and the decrease of the sun glint intensity) and increases with the wavelength (i.e., the decrease of atmospheric scattering contribution). Based on the error budgets, an optimized solar-viewing geometry screening strategy is proposed to ensure that the simulated DOLP error is limited to 0.02. The in-flight DOLP calibration result of POLDER/PARASOL shows that the proposed screening strategy obtained more calibration samples and covered a wider range of DOLP, especially for the samples with DOLP of less than 0.2, compared with the screening strategies of Toubbe et al. [ IEEE Trans. Geosci. Remote Sens. 37 , 513 ( 1999 ) IGRSD2 0196-2892 10.1109/36.739104 ]and Hagolle et al. [ IEEE Trans. Geosci. Remote Sens. 42 , 1472 ( 2004 ) IGRSD2 0196-2892 10.1109/TGRS.2004.826805 ] in previous work. The smaller standard error (SE) of the samples indicates more stable calibration results obtained for the optimized strategy. This research presents an optimized strategy for screening the solar-viewing geometry of the samples to calibrate satellite in-flight polarization measurements using the sun glint.

Applied OpticsVol. 63(31)
Kunming University (CN), Jilin University (CN), Jilin Medical University (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Outstanding Youth Science Fund Project of National Natural Science Foundation of China, National Key Research and Development Program of China
Life below water
Openalex Percentile: Top 19%
Solar Radiation and Photovoltaics
1.04
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