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Evaluating one- and two-source energy balance models in estimating surface evapotranspiration from Landsat-derived surface temperature and field measurements

机译:从Landsat得出的地表温度和野外测量结果评估一源和两源能量平衡模型以估算地表蒸散量

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摘要

This article compares one- and two-source energy balance (OSEB and TSEB) models in the estimates of surface energy components using Landsat imagery and surface measurements acquired from an experimental field at Yucheng Station in Northern China. Compared to surface measurements, similar performance between the TSEB and OSEB models has been observed for estimated surface net radiation and soil heat flux. The root mean square difference (RMSD) is within 14-39 W nr2 in both the TSEB and OSEB models. The residual energy (E_R) correction method yields the best agreement in comparisons of the sensible (H) and latent (LE) heat fluxes estimated using both the TSEB and OSEB models to the eddy covariance (EC) system measurements. The TSEB model is shown to greatly outperform the OSEB model in reproducing surface H and LE measurements. Cirrus clouds are likely responsible for the surface temperature retrieved from the enhanced thematic mapper plus (ETM+) sensor being lower than air temperature on days of the year (DOYs) 178 and 218 of 2009. This atmospheric stability is contrary to the unstable atmosphere that the EC measurements observe. If data on these two days are excluded and the E_r correction method is applied, when comparing the estimated H and LE to the EC measurements, RMSD is within 55 W nr2 in the TSEB model and is larger than 97 W m~2 in the OSEB model.
机译:本文使用Landsat影像和从中国北方雨城站实验场获得的地面测量值,在估算地表能量分量时比较了一源和两源能量平衡(OSEB和TSEB)模型。与表面测量相比,对于估计的表面净辐射和土壤热通量,在TSEB和OSEB模型之间观察到了相似的性能。在TSEB和OSEB模型中,均方根差(RMSD)在14-39 W nr2之内。相对于使用TSEB和OSEB模型估计的显热(H)和潜热(LE)热通量与涡度协方差(EC)系统测量值的比较,残余能量(E_R)校正方法产生了最佳的一致性。在复制表面H和LE测量值时,显示TSEB模型大大优于OSEB模型。卷云可能是导致从增强型专题制图仪(ETM +)传感器检索到的表面温度低于2009年的年度(DOYs)178和218的气温的原因。这种大气稳定性与不稳定的大气相反。 EC测量观察。如果排除这两天的数据并采用E_r校正方法,则在将估计的H和LE与EC测量值进行比较时,在TSEB模型中,RMSD在55 W nr2以内,在OSEB中大于97 W m〜2模型。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第10期|3299-3313|共15页
  • 作者单位

    State Key Laboratory of Resources Environment Information System, Institute of GeographicSciences Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China,LSIIT, UdS, CNRS, 67412 Illkirch, France,Graduate University of Chinese Academy of Sciences,Beijing 100049, China;

    State Key Laboratory of Resources Environment Information System, Institute of GeographicSciences Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China,LSIIT, UdS, CNRS, 67412 Illkirch, France;

    Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100190, China;

    Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100190, China;

    Centre for Space Remote Sensing Research, National Central University,Chung-Li, Taoyuan 320, Taiwan;

    Key Laboratory of Ecosystem Network Observation Modeling, Institute of Geographic Sciences Natural Resources Research, Beijing 100101, China;

    Key Laboratory of Ecosystem Network Observation Modeling, Institute of Geographic Sciences Natural Resources Research, Beijing 100101, 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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