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Ocean color atmospheric correction over the coastal region with multi-viewing satellite data

机译:多视角卫星数据对沿海地区海洋颜色大气的校正

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摘要

The atmospheric correction for the ocean color remote sensing is the most important technique to retrieve the water leaving reflectance, which is less than about 10% of the satellite reflectance, and its major uncertainties are occurred by the estimation error of atmospheric aerosols that is highly variable in both space and time. Especially, in the general algorithm with two near-infrared observation data, the correction over the coastal region becomes more difficult because the influence of the signal other than atmosphere (e.g. turbid water background) cannot be ignored. To improve the atmospheric correction accuracy in the turbid water area, the atmospheric correction algorithm with multi-viewing observation data was examined. In this paper, we present the application result with POLDER2 multi-viewing observation data over the Yellow Sea. As the results of this test, the water leaving reflectance with the standard deviation from 0.79% to 11.48% was retrieved for two test points.
机译:海洋颜色遥感的大气校正是检索离开反射率的水的最重要技术,该反射率小于卫星反射率的约10%,并且其主要不确定性是由高度可变的大气气溶胶的估计误差引起的在时空上尤其是,在具有两个近红外观测数据的常规算法中,由于不能忽略除大气以外的信号(例如浑浊的水背景)的影响,因此在沿海地区进行校正变得更加困难。为了提高混浊水域的大气校正精度,研究了具有多视角观测数据的大气校正算法。在本文中,我们用POLDER2多视角观测数据给出了黄海的应用结果。作为该测试的结果,对于两个测试点,获得了标准偏差为0.79%至11.48%的出水反射率。

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