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首页> 外文期刊>International journal of remote sensing >Retrospective analysis of Suomi NPP VIIRS radiometric bias for reflective solar bands due to operational calibration changes
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Retrospective analysis of Suomi NPP VIIRS radiometric bias for reflective solar bands due to operational calibration changes

机译:Suomi NPP VIIRS辐射偏光的追溯分析,归因于操作标定变化

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摘要

A comprehensive analysis of Visible Infrared Imaging Radiometer Suite (VIIRS) radiometric bias relative to Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6 data has been performed since early 2012 for selected reflective solar bands. The study suggests that VIIRS bias trends changes over time mainly due to calibration updates and anomalies. Results show nearly consistent biases of 1.7% for M5 (0.672 mu m) and 2% for M7 (0.865 mu m) throughout the mission. However, M1 (0.412 mu m) and M4 (0.555 mu m) biases are less consistent. While biases for both M1 and M4 fluctuates mostly around 0%, M1 shows most frequent short-term changes in bias trends, as high as 4%. When the bias trends are compared with VIIRS on-board-calibration-based gain trends, there exists a high correlation. In addition, the operational VIIRS data product of NOAA and the reprocessed NASA Land Product Evaluation and Test Element (PEATE) data were compared by trending the radiance ratio. The ratio trends show calibration differences that agree well with bias trends. The comparison of bias with F-factors and ratio trends indicates that the frequent changes observed in VIIRS bias trends are primarily caused by calibration updates and anomalies in VIIRS operational calibration. The study suggests that even though the operational VIIRS data archive meets the specification of +/-2% radiometric uncertainty, reprocessing can improve data quality needed for rigorous scientific applications.
机译:自2012年初以来,已对选定的反射太阳波段进行了可见水红外成像辐射计套件(VIIRS)相对于Aqua中等分辨率成像光谱仪(MODIS)收集数据6的偏差的综合分析。该研究表明,VIIRS偏差趋势会随时间变化,这主要归因于校准更新和异常。结果表明,在整个任务期间,M5(0.672微米)和M7(0.865微米)的偏差基本一致,为1.7%。但是,M1(0.412微米)和M4(0.555微米)偏压的一致性较差。虽然M1和M4的偏差大多在0%左右波动,但M1显示出偏差趋势中最频繁的短期变化,高达4%。将偏差趋势与基于VIIRS的基于板载校准的增益趋势进行比较时,存在高度相关性。此外,通过对辐射比进行趋势分析,比较了NOAA的VIIRS数据产品和经过处理的NASA土地产品评估和测试元素(PEATE)数据。比率趋势显示校准差异与偏差趋势非常吻合。偏差与F因子和比率趋势的比较表明,在VIIRS偏差趋势中观察到的频繁变化主要是由校准更新和VIIRS操作校准中的异常引起的。该研究表明,即使运行中的VIIRS数据档案符合辐射不确定度+/- 2%的规范,重新处理仍可以提高严格的科学应用所需的数据质量。

著录项

  • 来源
    《International journal of remote sensing》 |2016年第22期|5472-5489|共18页
  • 作者单位

    Colorado State Univ, Cooperat Inst Res Atmosphere CIRA, Ft Collins, CO 80523 USA;

    NOAA, Ctr Satellite Applicat & Res STAR, NESDIS, College Pk, MD USA;

    Earth Resources Technol Inc, College Pk, MD USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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