Evaluation of systematic errors on polarization parameters from POLDER instrument data for use in CLARREO Pathfinder-VIIRS intercalibration

IF 1.4 4区 地球科学 Q4 ENVIRONMENTAL SCIENCES Journal of Applied Remote Sensing Pub Date : 2023-09-26 DOI:10.1117/1.jrs.17.034513
Daniel Goldin, Rajendra Bhatt, Yolanda Shea
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Abstract

One of the Climate Absolute Radiance and Refractivity Observatory Pathfinder (CPF) mission’s science objectives is to intercalibrate the reflective solar bands of the NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) instrument against high-accuracy CPF measurements utilizing coincident, co-angled, and co-located footprints acquired over diverse Earth targets. To alleviate the effect of high polarization sensitivity of select VIIRS channels on intercalibration analysis, the CPF team will limit the intercalibration footprints over low-polarized scene types, which will be identified based on an empirical estimation of their degree of polarization (DOP) and angle of polarization (AOP) using Polarization and Directionality of the Earth’s Reflectance (POLDER) data. We describe the methodology for evaluating systematic errors in the estimation of DOP and AOP for Earth-reflected radiances using POLDER’s polarized bands and investigates their potential impact on CPF-VIIRS intercalibration uncertainty. The systematic errors were found to be <0.01 for DOP and <2.2 deg for AOP, which will have a negligible impact on CPF-VIIRS intercalibration uncertainty.
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CLARREO探路者- viirs互定标用POLDER仪器数据偏振参数的系统误差评估
气候绝对辐射和折射率观测站探路者(CPF)任务的科学目标之一是利用在不同地球目标上获得的重合、共角和同位置足迹,对NOAA-20可见光红外成像辐射计套件(VIIRS)仪器的反射太阳波段进行高精度CPF测量。为了减轻所选VIIRS通道的高偏振灵敏度对互定定分析的影响,CPF团队将限制低偏振场景类型的互定定足迹,这些场景类型将基于对其偏振度(DOP)和偏振角(AOP)的经验估计来识别,这些估计将使用地球反射的偏振和方向性(POLDER)数据。我们描述了利用POLDER偏振波段估计地球反射辐射DOP和AOP的系统误差评估方法,并研究了它们对CPF-VIIRS互定标不确定度的潜在影响。DOP的系统误差<0.01,AOP的系统误差<2.2°,对CPF-VIIRS互定不确定度的影响可以忽略不计。
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来源期刊
Journal of Applied Remote Sensing
Journal of Applied Remote Sensing 环境科学-成像科学与照相技术
CiteScore
3.40
自引率
11.80%
发文量
194
审稿时长
3 months
期刊介绍: The Journal of Applied Remote Sensing is a peer-reviewed journal that optimizes the communication of concepts, information, and progress among the remote sensing community.
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