The traditional atmospheric correction models employed with the near-infrared iterative schemes inaccurately estimate aerosol radiance at high solar zenith angles (SZAs), leading to a substantial loss of valid products for dawn or dusk observations by the geostationary satellite ocean color sensor. To overcome this issue, we previously developed an atmospheric correction model suitable for open ocean waters observed by the first geostationary satellite ocean color imager (GOCI) under high SZAs. This model was constructed based on a dataset from stable open ocean waters, which makes it less suitable for coastal waters. In this study, we developed a specialized atmospheric correction model (GOCI-II-NN) capable of accurately retrieving the water-leaving radiance from GOCI-II observations in coastal oceans under high SZAs. We utilized multiple observations from GOCI-II throughout the day to develop the selection criteria for extracting the stable coastal water pixels and created a new training dataset for the proposed model. The performance of the GOCI-II-NN model was validated by in-situ data collected from coastal/shelf waters. The results showed an Average Percentage Difference (APD) of less than 23% across the entire visible spectrum. In terms of the valid data and retrieval accuracy, the GOCI-II-NN model was superior to the traditional near-infrared and ultraviolet atmospheric correction models in terms of accurately retrieving the ocean color products for various applications, such as tracking/monitoring of algal blooms, sediment dynamics, and water quality among other applications.

中文翻译：

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高太阳天顶角下浑浊沿海水域对地球静止海洋彩色成像仪数据的大气校正


传统的大气校正模型与近红外迭代方案相结合，不能准确估计高太阳天顶角 （SZA） 下的气溶胶辐射度，导致对地静止卫星海洋颜色传感器用于黎明或黄昏观测的有效产品大量丢失。为了克服这个问题，我们之前开发了一种大气校正模型，适用于第一对地静止卫星海洋彩色成像仪 （GOCI） 在高 SZA 下观测到的开阔海水。该模型是基于稳定的开阔海水域的数据集构建的，因此不太适合沿海水域。在这项研究中，我们开发了一种专门的大气校正模型 （GOCI-II-NN），能够准确检索高 SZA 下沿海海洋 GOCI-II 观测的离水辐射。我们利用 GOCI-II 全天的多次观测来制定提取稳定沿海水域像素的选择标准，并为拟议的模型创建了一个新的训练数据集。GOCI-II-NN 模型的性能通过从沿海/大陆架水域收集的原位数据得到验证。结果显示，整个可见光谱的平均百分比差异 （APD） 小于 23%。在有效数据和检索精度方面，GOCI-II-NN 模型在准确检索海洋颜色产品方面优于传统的近红外和紫外大气校正模型，适用于各种应用，例如跟踪/监测藻华、沉积物动态和水质等应用。