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Atmospheric correction of SeaWiFS imagery for turbid waters in Southern China coastal areas

机译:南方南部沿海地区浑水水域大气修正海盗图像

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The atmospheric-correction of satellite ocean color data is fundamental for applications of the satellite data. The atmospheric-correction of Sea-viewing Wide Field-of-view Sensor (SeaWiFS) data is successful for open ocean waters, but fails for turbid coastal waters, when using the default algorithm of SeaWiFS Data Analyze System (SeaDAS), resulting in an over-correction of atmospheric effects. Based on the basic principle of atmospheric correction, a practical approach was developed for atmospheric correction of SeaWiFS imagery for turbid coastal waters. We took the assumption of spatial homogeneity of band7-band8 ratio of aerosol radiance and of water-leaving radiance over relatively small spatial scales (100-200 km), the two ratios were calculated from the processed results of SeaDAS standard atmospheric correction algorithm. The correction approach could reduce the errors of water-leaving radiance. In addition the water-leaving radiance in turbid water areas where the default SeaDAS algorithms added a mask for atmospheric correction failure could be retrieved. Then the results were compared with that of other atmospheric-correction method for turbid coastal waters.
机译:卫星海洋颜色数据的大气校正是卫星数据应用的基础。海景宽阔的视野传感器(SeaWIFS)数据的大气校正是开放的海域的成功,但在使用Seawifs数据分析系统(SeadaS)的默认算法时,浑浊沿海水域失败,导致了一个过度矫正大气效应。基于大气矫正的基本原理,开发了一种实用的方法,用于浑浊沿海水域的海盗图像大气校正。我们假设带状罗拉辐射和剩余的水留辐射与相对小的空间尺度(100-200km)的水留辐射的空间均匀性的假设,从SeadaS标准大气校正算法的处理结果计算了两种比率。校正方法可以减少留下水辐射的误差。此外,可以检索默认的SeadaS算法在浑浊水域中留下散热辐射,可以检索用于大气校正失败的掩模。然后将结果与混浊沿海水域其他大气校正方法进行比较。

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