Laser & Optoelectronics Progress, Volume. 60, Issue 9, 0901003(2023)

Empirical Orthogonal Function Aerosol Fine Particle Optical Depth Inversion Algorithm Based on Directional Polarimetric Camera

Wenjie Li1,2, Shurong Wang4,5、**, Changxiang Yan1,3、*, and Ning Ding1,2
Author Affiliations
  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, Jilin, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Research Center for Materials and Optoelectronics, University of Chinese Academy of Sciences, Beijing 100049, China
  • 4School of Physics and Optoelectronic Engineering, Foshan University of Science and Technology, Foshan 528051, Guangdong, China
  • 5Guangdong-Hong Kong-Macao Intelligent Micro-Nano Photoelectric Technology Joint Laboratory, Foshan 528051, Guangdong, China
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    Aiming at the problem that the semi-empirical model in the aerosol fine particle retrieval algorithm on the directional polarimetric camera(DPC) platform carried by the GF-5 satellite is not suitable for the estimation of urban surface polarization reflectance. In this paper, based on the empirical orthogonal function method of DPC, the inversion of the optical thickness of aerosol fine particles is carried out. The aerosol radiative contribution is calculated based on Mie scattering, the surface contribution is calculated by the empirical orthogonal function method, and the optical thickness of aerosol fine particles is inverted by using the multi-angle polarization data and the vector radiative transfer equation. The inversion results of this study are consistent with the moderate-resolution imaging spectroradiometer distribution trend of aerosol fine particle optical depth products, quantitatively compared with the measurement results of AERONET Beijing, Xianghe, and Hong Kong stations, the correlation coefficients are 0.97, 0.96, and 0.9, the mean absolute error is 0.08, 0.07, and 0.12, and the root mean square error is 0.12, 0.11, and 0.17, which verifies the high precision and rationality of the algorithm. Finally, the monthly average data of aerosol fine particle optical thickness in some areas of China in 2019 are presented, and the changes of aerosol fine particle optical thickness in Shandong are analyzed. It is found that June is the highest period of the year, with an average value of 0.7. The above results verify the reliability of the algorithm and provide technical support for DPC to effectively monitor the spatiotemporal distribution of aerosols

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    Wenjie Li, Shurong Wang, Changxiang Yan, Ning Ding. Empirical Orthogonal Function Aerosol Fine Particle Optical Depth Inversion Algorithm Based on Directional Polarimetric Camera[J]. Laser & Optoelectronics Progress, 2023, 60(9): 0901003

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Apr. 4, 2022

    Accepted: May. 23, 2022

    Published Online: Apr. 24, 2023

    The Author Email: Wang Shurong (srwang@ciomp.ac.cn), Yan Changxiang (yancx0128@126.com)

    DOI:10.3788/LOP221202

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