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首页> 外文期刊>International journal of remote sensing >Atmospheric corrections of single broadband channel and multidirectional airborne thermal infrared data: application to the ReSeDA experiment
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Atmospheric corrections of single broadband channel and multidirectional airborne thermal infrared data: application to the ReSeDA experiment

机译:单宽带通道和多方向机载热红外数据的大气校正:在ReSeDA实验中的应用

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摘要

This study focused on atmospheric corrections of airborne thermal infrared remote sensing data acquired with a multidirectional and single broadband channel sensor during the ReSeDA experiment. For single channel sensors, atmospheric corrections are generally performed using atmospheric radiative transfer models such as MODTRAN 3.5 along with radiosoundings. A sensitivity study was performed using MODTRAN 3.5 simulations to assess the accuracy of the processing regarding the experimental context. It was shown that the local topography and the atmosphere spatial variability could affect significantly the radiosounding representativeness, whereas the fluctuations of the flight altitude around the nominal value induced non-negligible inaccuracies. Moreover, using a broadband sensor induced non-linear effects that required a second order correction and also the use of look-up tables to reduce computation lime. A theoretical error was next proposed to account for both the sensor accuracy and the experimental uncertainties considered when performing the sensitivity study. This theoretical error was about 1℃, and agreed well with the results obtained when validating against field measurements.
机译:这项研究的重点是在ReSeDA实验期间使用多向和单宽带通道传感器获取的机载热红外遥感数据的大气校正。对于单通道传感器,通常使用大气辐射传输模型(例如MODTRAN 3.5)和无线电声音进行大气校正。使用MODTRAN 3.5模拟进行了敏感性研究,以评估有关实验环境的处理的准确性。结果表明,当地的地形和大气空间变化会严重影响无线电的代表性,而标称值附近的飞行高度波动会引起不容忽视的误差。此外,使用宽带传感器引起的非线性效应需要进行二阶校正,还需要使用查找表来减少计算量。接下来提出一个理论误差,以考虑传感器精度和进行敏感性研究时考虑的实验不确定性。该理论误差约为1℃,与现场测量验证的结果吻合良好。

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