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Optical Algorithms at Satellite Wavelengths for Total Suspended Matter in Tropical Coastal Waters

机译:热带沿海水域总悬浮物的卫星波长光学算法

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摘要

Is it possible to derive accurately Total Suspended Matter concentration or its proxy, turbidity, from remote sensing data in tropical coastal lagoon waters? To investigate this question, hyperspectral remote sensing reflectance, turbidity and chlorophyll pigment concentration were measured in three coral reef lagoons. The three sites enabled us to get data over very diverse environments: oligotrophic and sediment-poor waters in the southwest lagoon of New Caledonia, eutrophic waters in the Cienfuegos Bay (Cuba), and sediment-rich waters in the Laucala Bay (Fiji). In this paper, optical algorithms for turbidity are presented per site based on 113 stations in New Caledonia, 24 stations in Cuba and 56 stations in Fiji. Empirical algorithms are tested at satellite wavebands useful to coastal applications. Global algorithms are also derived for the merged data set (193 stations). The performances of global and local regression algorithms are compared. The best one-band algorithms on all the measurements are obtained at 681 nm using either a polynomial or a power model. The best two-band algorithms are obtained with R412/R620, R443/R670 and R510/R681. Two three-band algorithms based on Rrs620.Rrs681/Rrs412 and Rrs620.Rrs681/Rrs510 also give fair regression statistics. Finally, we propose a global algorithm based on one or three bands: turbidity is first calculated from Rrs681 and then, if < 1 FTU, it is recalculated using an algorithm based on Rrs620.Rrs681/Rrs412. On our data set, this algorithm is suitable for the 0.2-25 FTU turbidity range and for the three sites sampled (mean bias: 3.6 %, rms: 35%, mean quadratic error: 1.4 FTU). This shows that defining global empirical turbidity algorithms in tropical coastal waters is at reach.
机译:是否可以从热带沿海泻湖水域的遥感数据中准确得出总悬浮物浓度或其替代物浊度?为了调查这个问题,在三个珊瑚礁泻湖中测量了高光谱遥感反射率,浊度和叶绿素色素浓度。这三个地点使我们能够在非常多样化的环境中获取数据:新喀里多尼亚西南泻湖的贫营养和沉积物稀少的水域,库恩富戈斯湾(古巴)的富营养化水域和劳卡拉湾(斐济)的沉积物丰富的水域。本文基于新喀里多尼亚的113个站点,古巴的24个站点和斐济的56个站点,介绍了每个站点的浊度光学算法。在对沿海应用有用的卫星波段上对经验算法进行了测试。还为合并的数据集(193个站)导出了全局算法。比较了全局和局部回归算法的性能。使用多项式或功率模型,可在681 nm处获得所有测量中最佳的单波段算法。使用R412 / R620,R443 / R670和R510 / R681可获得最佳的两频段算法。两种基于Rrs620.Rrs681 / Rrs412和Rrs620.Rrs681 / Rrs510的三波段算法也提供了合理的回归统计量。最后,我们提出一种基于一个或三个波段的全局算法:首先从Rrs681计算浊度,然后,如果<1 FTU,则使用基于Rrs620.Rrs681 / Rrs412的算法重新计算浊度。在我们的数据集上,该算法适用于0.2-25 FTU浊度范围和三个采样点(平均偏差:3.6%,均方根:35%,平均二次误差:1.4 FTU)。这表明在热带沿海水域中定义全局经验浊度算法已经可以实现。

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