星载“偏振交火”传感器设计及初步在轨应用  

Spaceborne Polarized Crossfire(PCF)Sensor Suite Design and Preliminary In-orbit Application

作　　者：李正强 洪津[2] 郑杨 刘振海 张苗苗 赵少华 张庆辉[5] 徐敬海 麻金继 高郭平 江启峰 徐成华[10] 杨磊库[11] 骆冬根 LI Zhengqiang;HONG Jin;ZHENG Yang;LIU Zhenhai;ZHANG Miaomiao;ZHAO Shaohua;ZHANG Qinghui;XU Jinghai;MA Jinji;GAO Guoping;JIANG Qifeng;XU Chenghua;YANG Leiku;LUO Donggen(State Environmental Protection Key Laboratory of Satellite Remote Sensing,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China;Anhui Institute of Optics and Fine Mechanics,Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,Anhui,China;Shanghai Institute of Satellite Engineering,Shanghai 201109,China;China Centre for Resources Satellite Data and Application,Beijing 100094,China;School of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,Henan,China;College of Geomatics Science and Technology,Nanjing Tech University,Nanjing 211816,Jiangsu,China;College of Geography and Tourism,Anhui Normal University,Wuhu 241003,Anhui,China;College of Marine Ecology and Environment,Shanghai Ocean University,Shanghai 201306,China;School of Energy and Power Engineering,Xihua University,Chengdu 610039,Sichuan,China;College of Resources and Environment,Chengdu University of Information Technology,Chengdu 610225,Sichuan,China;School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454003,Henan,China)

机构地区：[1]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 [2]中国科学院合肥物质科学研究院安徽光学精密机械研究所,安徽合肥230031 [3]上海卫星工程研究所,上海201109 [4]生态环境部卫星环境应用中心,北京100094 [5]河南工业大学信息科学与工程学院,河南郑州450001 [6]南京工业大学测绘科学与技术学院,江苏南京211816 [7]安徽师范大学地理与旅游学院,安徽芜湖241003 [8]上海海洋大学海洋生态与环境学院,上海201306 [9]西华大学能源与动力工程学院,四川成都610039 [10]成都信息工程大学资源环境学院,四川成都610225 [11]河南理工大学测绘与国土信息工程学院,河南焦作454003

出　　处：《上海航天（中英文）》2023年第3期65-75,共11页Aerospace Shanghai（Chinese&English）

基　　金：国家杰出青年科学基金(41925019);国家自然科学基金(42275144)。

摘　　要：针对近地表细颗粒物含量的卫星遥感精度问题,系统提出了“偏振交火”的卫星遥感策略和模型,开发了高精度偏振扫描仪(POSP)和多角度偏振成像仪(DPC)双偏振载荷套件,装载在大气环境监测卫星上并成功发射。本文在介绍“偏振交火”原理的基础上,系统论述了载荷工程的实现方法和在轨应用方法,初步展示和评估了在轨应用效果。在轨初步应用结果显示:双偏振载荷间能够实现稳定交火工作,视场匹配精度优于0.077 POSP像元;基于L1级数据初步开展了双偏振载荷间的辐射和偏振交叉定标/验证,共有波段拟合优度(R2)分别达到0.999和0.993;基于“偏振交火”载荷观测数据融合反演的近地表PM_(2.5)与地基网络监测结果的相关性为0.684,偏差落在期望误差(EE)范围内的比例为88.36%。初步在轨结果达到了预期应用目标,显示了“偏振交火”方案在气溶胶污染监测方面的应用潜力。Aiming at the challenge of satellite remote sensing accuracy of near-surface fine particulate matter PM_(2.5),a polarization crossfire(PCF)satellite remote sensing strategy and a particulate matter remote sensing(PMRS)model are systematically proposed,and the dual polarization load suite of particulate observing scanning polarimeter(POSP)and directional polarimetric camera(DPC)is developed,which has been successfully launched on April 16,2022 aboard the atmospheric environmental monitoring satellite.Based on the principle of the PCF strategy,the implementation method and in-orbit application method of payload engineering are systematically discussed,and the effect of in-orbit application is initially demonstrated and evaluated.The preliminary application results in orbit show that stable firefighting can be achieved between the dual polarization loads,and the field of view matching accuracy is better than 0.077 POSP pixel,which meets the application requirements of better than 0.15 POSP pixel.Based on the L1 level data,the radiometric cross-calibration and polarimetric validation between the dual polarization loads are preliminarily carried out,and the goodness of fit(R2)of the common bands reaches 0.999 and 0.993,respectively.The correlation between the near-surface PM_(2.5) and the ground-based network monitoring results based on the fusion and inversion of the PCF observation data is 0.684,and the deviation fell within the expected error(EE)range is 88.36%.The preliminary in-orbit results have achieved the expected application goals,indicating the application potential of the PCF strategy in aerosol pollution monitoring.

关 键 词：“偏振交火”传感器 大气污染 高精度偏振扫描仪(POSP) 多角度偏振成像仪(DPC) 偏振遥感 PM_(2.5) 

分 类 号：P407.4[天文地球—大气科学及气象学] P412.4[自动化与计算机技术—检测技术与自动化装置] TP79[自动化与计算机技术—控制科学与工程]