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Determination of sea surface temperature at large observation angles using an angular and emissivity-dependent split-window equation

机译:使用与角度和发射率相关的分裂窗口方程确定大观察角处的海表温度

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摘要

This paper proposes an angular and emissivity-dependent split-window equation that permits the determination of the sea surface temperature (SST) to a reasonable level of accuracy for any observation angle, including large viewing angles at the image edges of satellite sensors with wide swaths. This is the case of the MODIS radiometer both on EOS Terra/Aqua platforms, with observation angles of up to 65 at the surface, for which the split-window equation has been developed in this study. The algorithm takes into account the angular dependence of both the atmospheric correction (due to the increase of the atmospheric optical path with angle) and the emissivity correction (since sea surface emissivity (SSE) decreases with observation angle). Angular-dependent coefficients have been estimated for the atmospheric terms, and also an explicit dependence on the SSE has been included in the algorithm, as this parameter has values different to a blackbody surface for off-nadir angles, the SSEs also being dependent on surface wind speed. The proposed algorithm requires as input data at-sensor brightness temperatures for the split-window bands (31 and 32 of MODIS), the observation angle at each pixel, an estimate of the water vapor content (which is provided by the MODIS MOD07/MYD07 products) and accurate SSE values for both channels. The preliminary results show a good agreement between SSTs estimated by the proposed equation for off-nadir viewings of MODIS-Terra images and in situ SST measurements, with a root-mean square error (RMSE) of about +/- 0.3 K, for which the MODIS SST product gives an RMSE larger than +/- 0.7 K. (c) 2007 Elsevier Inc. All rights reserved.
机译:本文提出了一个与角度和发射率相关的分裂窗口方程,该方程可以确定海平面温度(SST)到任何观察角度的合理精度水平,包括宽幅卫星传感器图像边缘的大视角。在EOS Terra / Aqua平台上的MODIS辐射计就是这种情况,在地面上的观察角度最大为65,在此研究中已针对此创建了分离窗口方程。该算法考虑了大气校正(由于大气光路随角度的增加)和发射率校正(因为海面发射率(SSE)随观察角的减小)的角度依赖性。已针对大气条件估算了与角度相关的系数,并且算法中还包括了对SSE的明确依赖关系,因为该参数的值与黑底曲面的下底角不同,SSE也取决于表面风速。所提出的算法需要将分割窗口带(MODIS的31和32)的传感器亮度温度,每个像素的观察角,水汽含量的估计值作为输入数据(由MODIS MOD07 / MYD07提供)产品)和两个渠道的准确SSE值。初步结果表明,由拟议方程估算的用于近地观测MODIS-Terra图像的SST与原位SST测量之间具有良好的一致性,其均方根误差(RMSE)约为+/- 0.3 K,为此MODIS SST产品的RMSE大于+/- 0.7K。(c)2007 Elsevier Inc.保留所有权利。

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