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Validation of the background simulation model MATISSE: comparing results with MODIS satellite images.

机译:验证背景模拟Matisse:使用Modis卫星图像进行比较结果。

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Generally available satellite images, e. g. from the MODIS sensor, provide data in spectral bands, which are suitable for remote sensing applications and earth surface observations. However, for some applications different bands as well as specific cloud formations for a certain region may be of interest, thus making the simulation of background data essential. Therefore, the software MATISSE ("Advanced Modeling of the Earth for Environment and Scenes Simulation") proved to be the appropriate tool. MATISSE is an infrared background scene generator developed by ONERA for computing natural background spectral radiance images including atmosphere, sea, land and high and low altitude clouds. In order to validate the model, comparisons with MODIS satellite data have been carried out using images in available spectral bands. The investigations comprised selected surface structures like sea, desert, lowland (dry) and highlands (humid). In general, the results on radiance images show a good correlation between MODIS image and the MATISSE-simulation. This paper focuses on comparing results between simulated MATISSE radiance images and the MODIS observations. Based on this, possible sources of error and the limits of the model are discussed.
机译:一般可用的卫星图像,e。 G。从MODIS传感器,提供频谱带中的数据,适用于遥感应用和地球表面观察。然而,对于某些应用,不同的频带以及某个区域的特定云形成可能是感兴趣的,因此可以模拟背景数据所必需的。因此,SatiSse软件(“环境和场景仿真的高级建模”)被证明是合适的工具。 Matisse是由Onera开发的红外背景场景发生器,用于计算自然背景光谱图像,包括大气,海,陆和高海拔云。为了验证模型,已经使用可用光谱频带中的图像进行了使用MODIS卫星数据的比较。调查包括海,沙漠,低地(干)和高地(潮湿)等所选地表结构。通常,Radiance图像的结果显示了Modis图像与Matisse模拟之间的良好相关性。本文侧重于比较模拟的Matisse radiance图像与Modis观测结果。基于此,讨论了可能的误差源和模型的限制。

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