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ATMOSPHERIC CORRECTION OVER COASTAL AND INLAND WATERS: DOING BETTER WITH MERIS?

机译:沿海和内陆水域大气矫正:用梅里斯做得更好?

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This work first illustrates the potential use of the oxygen absorption in improving the atmospheric correction over water. First, this oxygen absorption can be used to better flag cloud contamination, mainly with cirrus clouds. It can be used as well to better flag the sunglint complementary to the current radiometric classification. After flagging these anomalous circumstances, we propose simple methods to remove both the contribution of the cirrus clouds and of the sunglint. It appears more to be new developments rather than new operational methods. But the recommendations to conducts such studies are straightforward. First of all the simplified "6S" like formulation of the signal should be validated by reference to "exact" computation. Then, this formulation has to be applied on an operational basis at least to remove the Rayleigh contribution. The remaining will inform on the effective altitude of the scatters. Regular values will inform on the vertical distribution of the aerosols, higher values will flag cirrus clouds and lower values will reflect the sunglint contribution. Then a correct identification will offer possibilities to correct for cirrus clouds as well as for sunglint. MERIS full resolution imagery offers the possibility to do water quality monitoring near to the coast line and or in inland waters. This opportunity raises first the problem of the adjacency effects. We simply illustrate this effect knowing than a theoretical formulation of the problem exits. For inland waters, both land and water algorithms exist to remote sense the aerosols. We propose simple comparison between the two as indicators of the quality of the atmospheric correction.
机译:这项工作首先说明了氧气吸收在改善水中的大气校正方面的潜在使用。首先,这种氧气吸收可用于更好地旗下云污染,主要是卷云云。它可以使用,也可以更好地标记对电流辐射分类的互补的副尖。在标记这些异常情况之后,我们提出了简单的方法来消除卷云云和太阳镜的贡献。它看起来更新的发展而不是新的操作方法。但是要进行此类研究的建议是简单的。首先,应通过引用“精确”计算来验证相同的简化“6S”。然后,必须至少在操作基础上施加该制剂,以至少去除瑞利贡献。剩下的会通知散发物的有效高度。常规值将通知气溶胶的垂直分布,较高的值将标志云云和较低的值将反映Sunglint贡献。然后,正确的识别将提供纠正Cirrus云以及Sunglint的可能性。 Meris全分辨率图像提供了在海岸线和内陆水域附近进行水质监控的可能性。这个机会首先提出了邻接效应的问题。我们简单地说明了这种效果,而不是问题出口的理论制定。对于内陆水域来说,留在偏远地区的土地和水算法都存在气溶胶。我们提出了两者之间的简单比较,作为大气校正质量的指标。

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