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卫星遥感中不同偏振量对气溶胶反演的影响分析
引用本文:郑逢勋,朱家乙,侯伟真,李正强. 卫星遥感中不同偏振量对气溶胶反演的影响分析[J]. 光谱学与光谱分析, 2021, 41(7): 2212-2218. DOI: 10.3964/j.issn.1000-0593(2021)07-2212-07
作者姓名:郑逢勋  朱家乙  侯伟真  李正强
作者单位:河南科技大学农业装备工程学院,河南 洛阳 471003;中国兵器工业集团江苏北方湖光光电有限公司,江苏 无锡 214035;中国科学院空天信息创新研究院,国家环境保护卫星遥感重点实验室,北京 100101
基金项目:国家自然科学基金面上项目(41871269),河南省高等学校重点科研项目(21A416003),河南科技大学博士科研启动金资助
摘    要:偏振探测是提高气溶胶卫星遥感能力的重要途径.作为目前全球重要的偏振数据源,我国高分五号卫星搭载的多角度偏振探测仪(DPC)能够测量不同的偏振量,包括Stokes矢量偏振分量、偏振辐亮度(Lp)和线偏振度(DOLP).各偏振量所包含的有效信息和测量误差不同,进而影响气溶胶参数的反演精度.针对此,在最优估计反演框架下,利用...

关 键 词:高分五号  偏振遥感  气溶胶  信息量分析  最优估计反演
收稿时间:2020-07-31

Effect Analysis of Using Different Polarization Quantities in Aerosol Retrieval From Satellite Observation
ZHENG Feng-xun,ZHU Jia-yi,HOU Wei-zhen,LI Zheng-qiang. Effect Analysis of Using Different Polarization Quantities in Aerosol Retrieval From Satellite Observation[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 2212-2218. DOI: 10.3964/j.issn.1000-0593(2021)07-2212-07
Authors:ZHENG Feng-xun  ZHU Jia-yi  HOU Wei-zhen  LI Zheng-qiang
Affiliation:1. College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China2. Jiangsu North Huguang Opto-electronics Company, China North Industries Group Corporation Limited, Wuxi 214035, China3. State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Abstract:Polarimetry is one of the most promising types of remote sensing for improved characterization of atmospheric aerosol. As an important polarization data source in the world currently, the Directional Polarimetric Camera (DPC) onboard Gaofen-5 satellite can provide measurements of the Stokes vector, the polarization radiance (Lp), and degree of linear polarization (DOLP). The calibration accuracy of these polarization quantities will affect the retrieval error of aerosol parameters, and the corresponding impacts need to be analyzed quantitatively. For this purpose, the degree of freedom for signal (DFS) and the posterior error for aerosol model parameters are calculated based on the optimal estimation inversion framework and information content analysis theory. The results show that the information contained in the Stokes vector is the highest, followed by DOLP and Lp. The corresponding total aerosol DFS are 7.5, 6.1, and 5.2, respectively. The imaginary part of the complex refractive index (mf) and the effective variance (vfeff) reduce significantly when using Lp in the retrieval. This indicates that the two parameters are sensitive to the polarization direction and measurement error. The average DFS of the fine-mode columnar volume concentration (Vf0), the real part of the complex refractive index (mfr), and the effective radius (rfeff) are larger than 0.85, which can be well retrieved from DPC multiangle polarization observation. The inversion of coarse-mode aerosol parameters has high uncertainties, which is related to the aerosol type. Compared with adopting the Stokes vector in the retrieval, the posterior error of aerosol parameters increase 67.6% and 65.5% on average for adopting Lp and DOLP, respectively. The fine-mode columnar volume concentration (Vf0) and effective radius (rfeff) are most affected. Evidently, the polarization direction has great value to improve the retrieval of aerosol. Among all the aerosol parameters, the posterior error of the real part of complex refractive index (mfr) is the smallest, and the imaginary part (mfi) has the highest inversion uncertainty.
Keywords:Gaofen-5  Polarimetric remote sensing  Aerosol  Information content analysis  Optimal estimation inversion  
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