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CoastColour Round Robin data sets: A database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters

机译:CoastColour Round Robin数据集:一个评估用于检索沿海水域水质参数的算法性能的数据库

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摘要

The use of in situ measurements is essential in the validation and evaluation of the algorithms that provide coastal water quality data products from ocean colour satellite remote sensing. Over the past decade, various types of ocean colour algorithms have been developed to deal with the optical complexity of coastal waters. Yet there is a lack of a comprehensive intercomparison due to the availability of quality checked in situ databases. The CoastColour Round Robin (CCRR) project, funded by the European Space Agency (ESA), was designed to bring together three reference data sets using these to test algorithms and to assess their accuracy for retrieving water quality parameters. This paper provides a detailed description of these reference data sets, which include the Medium Resolution Imaging Spectrometer (MERIS) level 2 match-ups, in situ reflectance measurements, and synthetic data generated by a radiative transfer model (HydroLight). These data sets, representing mainly coastal waters, are available from doi:10.1594/PANGAEA.841950. The data sets mainly consist of 6484 marine reflectance (either multispectral or hyperspectral) associated with various geometrical (sensor viewing and solar angles) and sky conditions and water constituents: total suspended matter (TSM) and chlorophyll a (CHL) concentrations, and the absorption of coloured dissolved organic matter (CDOM). Inherent optical properties are also provided in the simulated data sets (5000 simulations) and from 3054 match-up locations. The distributions of reflectance at selected MERIS bands and band ratios, CHL and TSM as a function of reflectance, from the three data sets are compared. Match-up and in situ sites where deviations occur are identified. The distributions of the three reflectance data sets are also compared to the simulated and in situ reflectances used previously by the International Ocean Colour Coordinating Group (IOCCG, 2006) for algorithm testing, showing a clear extension of the CCRR data which covers more turbid waters.
机译:在验证和评估可从海洋彩色卫星遥感提供沿海水质数据产品的算法中,使用原位测量至关重要。在过去的十年中,已经开发出各种类型的海洋颜色算法来应对沿海水域的光学复杂性。然而,由于存在现场检查的质量数据库,因此缺乏全面的比对。由欧洲航天局(ESA)资助的CoastColour Round Robin(CCRR)项目旨在将三个参考数据集组合在一起,以测试算法并评估其检索水质参数的准确性。本文提供了对这些参考数据集的详细描述,其中包括中等分辨率成像光谱仪(MERIS)2级匹配,原位反射率测量以及由辐射传输模型(HydroLight)生成的合成数据。这些数据集主要代表沿海水域,可从doi:10.1594 / PANGAEA.841950获得。数据集主要由6484个海洋反射率(多光谱或高光谱)组成,这些反射率与各种几何形状(传感器视角和太阳角)以及天空条件和水成分有关:总悬浮物(TSM)和叶绿素a(CHL)浓度以及吸收有色溶解有机物(CDOM)。在模拟数据集(5000个模拟)中以及从3054个匹配位置也提供了固有的光学特性。比较了来自三个数据集的选定MERIS波段和波段比率CHL和TSM的反射率分布,作为反射率的函数。确定出现偏差的对位和原位。还将三个反射率数据集的分布与国际海洋色彩协调小组(IOCCG,2006)先前用于算法测试的模拟和原位反射率进行了比较,显示了CCRR数据的明显扩展,涵盖了更多的浑浊水域。

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