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首页> 外文期刊>International journal of remote sensing >Land surface temperature and emissivity retrieval by integrating MODIS data onboard Terra and Aqua satellites
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Land surface temperature and emissivity retrieval by integrating MODIS data onboard Terra and Aqua satellites

机译:通过整合Terra和Aqua卫星上的MODIS数据检索地表温度和发射率

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摘要

This paper presents an algorithm to retrieve land surface temperature (LST) and emissivity by integrating MODIS (Moderate Resolution Imaging Spectroradiometer) data onboard Terra and Aqua satellites. For a study area, there will be four pairs of day and night observations by MODIS onboard two satellites every day. Solar zenith angle, view zenith angle, and atmospheric water vapour have first been taken as independent variables to analyse their sensitivities to the same infrared channel measurements of MODIS on both Terra and Aqua satellites. Owing to their similar influences on the same MODIS band from Terra and Aqua satellites, four pairs of MODIS data from Terra and Aqua satellites can be thought of as MODIS measurement on a satellite at different viewing angles and viewing time. Comparisons between the retrieved results and in-situ measurements at three test sites (Qinghai Lake, Poyang Lake and Luancheng in China) indicate that the root mean square (rms) error is 0.66 K, except for the sand in Poyang Lake area. The rms error is less than 0.7 K. when the retrieved results are compared with Earth Observing System (EOS) MODIS LST data products using the physics-based dayight algorithm. Emissivities retrieved by this algorithm are well compared to EOS MODIS emissivity data products (V5). The proposed algorithm can therefore be regarded as complementary and an extension to the EOS physics-based dayight algorithm.
机译:本文提出了一种通过整合Terra和Aqua卫星上的MODIS(中等分辨率成像光谱仪)数据来检索地表温度(LST)和发射率的算法。对于研究区域,MODIS每天将在两颗卫星上进行四对白天和黑夜的观测。首先将太阳天顶角,观测天顶角和大气水汽作为独立变量,以分析它们对Terra和Aqua卫星上相同的MODIS红外通道测量值的敏感性。由于它们对Terra和Aqua卫星的同一MODIS频带的相似影响,可以将Terra和Aqua卫星的四对MODIS数据视为在不同视角和观看时间的卫星上的MODIS测量。对三个测试点(中国的青海湖,Po阳湖和栾城县)的反演结果和现场测量结果的比较表明,除Po阳湖地区的沙地以外,均方根误差为0.66K。当使用基于物理学的昼/夜算法将检索到的结果与地球观测系统(EOS)MODIS LST数据产品进行比较时,均方根误差小于0.7K。与EOS MODIS发射率数据产品(V5)相比,使用此算法检索到的发射率很好。因此,所提出的算法可以被视为对基于EOS物理学的昼/夜算法的补充和扩展。

著录项

  • 来源
    《International journal of remote sensing》 |2011年第6期|p.1449-1469|共21页
  • 作者单位

    Beijing Institute of Space Mechanics and Electricity, Beijing, 100076, P.R.China;

    The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, and Beijing Normal University, Beijing, China,College of Geo-Exploration Science and Technology, Jilin University, Changchun,Jilin, China;

    The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, and Beijing Normal University, Beijing, China;

    The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, and Beijing Normal University, Beijing, China;

    The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, and Beijing Normal University, Beijing, China;

  • 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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