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首页> 外文期刊>Journal of Applied Remote Sensing >Remote sensing of water clouds temperature with an infrared camera on board the International Space Station in the frame of Japan Experiment Module-Extreme Universe Space Observatory mission
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Remote sensing of water clouds temperature with an infrared camera on board the International Space Station in the frame of Japan Experiment Module-Extreme Universe Space Observatory mission

机译:在日本实验舱-极限宇宙空间天文台任务框架内,在国际空间站上用红外热像仪遥感水云温度

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The Extreme Universe Space Observatory (EUSO) is an astronomical telescope that will be hosted by the Japan Experiment Module (JEM) on the International Space Station. The telescope will determine ultrahigh-energy cosmic ray properties by measuring the UV fluorescence light generated in the interaction between the cosmic rays and the atmosphere. Therefore, cloud information is crucial for a proper interpretation of the data. To obtain the cloud top height, an infrared (IR) camera is being designed. The design is constrained by JEM-EUSO requirements, which have led to a bi-spectral camera option (10.8- and 12-mu m bands). The bi-spectral design has allowed us to develop a split-window algorithm to correct the atmospheric effects and retrieve the cloud temperature from the brightness temperatures (BTs) in the bands aforementioned. The algorithm has been validated in synthetic scenarios at pixel level. The results show that the algorithm is able to retrieve the temperature with accuracy much better than the requirement of 3K. It has also been tested in two-dimensional scenarios by applying it to moderate resolution imaging spectroradiometer (MODIS) images of BTs in bands 31 similar to those of the IR camera. The retrieved temperatures are in a very good agreement with the temperatures given by MODIS. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE).
机译:极端宇宙空间天文台(EUSO)是一台天文望远镜,将由国际空间站上的日本实验舱(JEM)托管。望远镜将通过测量在宇宙射线与大气之间的相互作用中产生的紫外线荧光来确定超高能宇宙射线的性质。因此,云信息对于正确解释数据至关重要。为了获得云顶的高度,正在设计一个红外(IR)摄像机。该设计受到JEM-EUSO要求的限制,这导致了双光谱相机选项(10.8和12微米波段)的使用。双光谱设计使我们能够开发出分割窗口算法,以校正大气影响并从上述波段的亮温(BT)中检索云温度。该算法已在像素级别的合成方案中得到验证。结果表明,该算法能够以比3K更高的精度检索温度。还通过将其应用于类似于IR摄像机的波段31中的BT的中分辨率成像光谱仪(MODIS)图像,在二维场景中进行了测试。检索到的温度与MODIS给出的温度非常吻合。 (C)2014年光电仪器工程师协会(SPIE)。

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