气溶胶细粒子比偏振遥感最优化反演方法研究  

Optimal estimation algorithm research for aerosol fine-mode fraction retrieval from polarimetric measurements

作　　者：郑逢勋 李正强 侯伟真 董晓刚[3] 周志远[3] ZHENG Fengxun;LI Zhengqiang;HOU Weizhen;DONG Xiaogang;ZHOU Zhiyuan(College of Agricultural Equipment Engineering,Henan University of Science and Technology,Luoyang 471003,China;State Environmental Protection Key Laboratory of Satellite Remote Sensing,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;Science and Technology on Optical Radiation Laboratory,Beijing Institute of Environmental Characteristics,Beijing 100854,China)

机构地区：[1]河南科技大学农业装备工程学院,洛阳471003 [2]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,北京100094 [3]北京环境特性研究所光学辐射重点实验室,北京100854

出　　处：《遥感学报》2022年第12期2497-2506,共10页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家自然科学基金(编号:41871269);河南省高等学校重点科研项目(编号:21A416003);河南科技大学博士科研启动基金(编号:13480031)。

摘　　要：针对PM2.5遥感模型对气溶胶细粒子比FMF(Fine mode fraction)参数的需求,结合多光谱偏振传感器对大气探测的优势,基于最优估计OE(Optimal Estimation)反演框架,提出了一种基于线偏振度(Degree of Linear Polarization)测量的FMF最优化反演方法。采用矢量化的辐射传输模式UNL-VRTM进行地基天空光的线偏振度观测模拟,分析了线偏振度对FMF参数的波段敏感性,并基于仿真数据开展了算法的反演测试。研究结果表明:偏振测量在长波近红外波段对FMF的敏感性高于可见光波段;基于OE框架的FMF反演算法具有良好的闭合性;在地基天顶观测模式下,引入线偏振度测量参与反演能够有效提高FMF的反演精度,FMF反演误差从1.4%下降到了0.18%。最优化反演方法对于气溶胶遥感具有一定的潜力和可行性,有望成为提高PM2.5遥感监测能力的新途径。Monitoring the atmospheric particle pollution is one of priorities for environmental protection.To infer the near-surface fine particulate matter(PM2.5) mass concentration,aerosol Fine-Mode Fraction(FMF) is an important parameter,which can separate contributions from smaller and bigger particles in Aerosol Optical Depth(AOD).However,there still have great challenges for the conversion between FMF and remotely sensed optical measurements.As one of the most promising methods of remote sensing,polarimetry is widely employed for atmospheric aerosol monitoring,and has a good potential for improving FMF inversion.In order to investigate the contribution of polarization to the for improved characterization of FMF,an algorithm for FMF retrieval from multispectral intensity and Degree Of Linear Polarization(DOLP) measurements is proposed in this paper.The proposed algorithm is based on the Optimal Estimation(OE) inversion theory.The UNified Linearized Vector Radiative Transfer Model(UNL-VRTM) is adopted as the forward model,and the quasi-Newton approach implemented by the L-BFGS-B code is used to find the minimum of the cost function.In order to test the performance of the algorithm,synthetic data for ground-based measurements of sky light,in the conditions of different aerosol optical depth(AOD,from 0.1 to 3.0) and FMF(from 0.05 to 0.95),are simulated.In addition,near-infrared(NIR) measurements at a wavelength of 1610 nm were introduced to improve the retrieval of coarse mode aerosol.Under the OE inversion framework,the AOD and FMF can be retrieved simultaneously after several iterations.Based on the synthetic data,analysis shows that the DOLP is more sensitive to FMF in the NIR band(centered at 1610 nm) than in the visible band(centered at 490,550,670 and 870 nm).Numerical inversion test furtherly show that the algorithm has well self-consistency,the error of retrieved FMF caused by the algorithm itself is 0.014%.In the case of 5% observation error is considered,the average fitting residual,differences between the simul

关 键 词：遥感 线偏振度 气溶胶 细粒子比 最优估计反演 

分 类 号：P2[天文地球—测绘科学与技术]