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Water Transparency (Secchi Depth) Monitoring in the China Sea with the SeaWiFS satellite sensor

机译:使用SeaWiFS卫星传感器监测中国海的水透明度(日深)

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Water transparency (Secchi depth) is a basic parameter that describes the optical property of water, and it is a traditional item measured in situ. The traditional method of monitoring water transparency is the in-situ measurement by ship. However, because of its inherent shortcoming, this in situ method can not satisfy the requirement of the large-scale, quick and real-time monitoring of the water transparency. Therefore, it must be combined with the remote sensing technology to fulfill the monitoring of the water transparency. This paper studies the water transparency monitoring in China Sea by using SeaWiFS satellite sensor. First, the inversing algorithm of water transparency is introduced briefly, which based on the radiative transfer theory and bio-optical model of water. Second, the accuracy of the algorithm is validated by using the large-scale in-situ data from the Japan Meteorological Agency (JMA), which covered most of the Northwest Pacific ocean. The result shows the inversing relative error of water transparency is 22.6% by using the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) data, and it is even better in the open sea. Third, using this algorithm and SeaWiFS data, a remote sensing product data set of water transparency in China Sea was generated. Finally, we present the analysis of seasonal distribution and fluctuation patterns of water transparency in China Sea by using the generated remote sensing product collection of water transparency.
机译:水的透明度(Secchi深度)是描述水的光学特性的基本参数,并且是现场测量的传统物品。监视水透明度的传统方法是通过船进行现场测量。然而,由于其固有的缺点,这种原位方法不能满足对水透明度的大规模,快速和实时监测的要求。因此,必须将其与遥感技术相结合才能实现对水透明度的监控。本文利用SeaWiFS卫星传感器研究了中国海的水透明度监测。首先,简要介绍了基于水的辐射传递理论和生物光学模型的水透明度反演算法。其次,该算法的准确性通过使用日本气象厅(JMA)的大规模原位数据进行了验证,该数据覆盖了西北太平洋的大部分地区。结果表明,使用SeaWiFS数据,水透明度的反演相对误差为22.6%,在公海中甚至更好。第三,使用该算法和SeaWiFS数据,生成了中国海水透明遥感产品数据集。最后,我们利用生成的水透明度遥感产品集,对中国海水透明度的季节分布和波动模式进行了分析。

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