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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Variability in specific-absorption properties and their use in a semi-analytical ocean colour algorithm for MERIS in North Sea and Western English Channel Coastal Waters
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Variability in specific-absorption properties and their use in a semi-analytical ocean colour algorithm for MERIS in North Sea and Western English Channel Coastal Waters

机译:比吸收特性的变异性及其在北海和西英吉利海峡沿岸水域MERIS的半分析海洋颜色算法中的应用

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摘要

Coastal areas of the North Sea are commercially important for fishing and tourism, and are subject to the increasingly adverse effects of harmful algal blooms, eutrophication and climate change. Monitoring phytoplankton in these areas using Ocean Colour Remote Sensing is hampered by the high spatial and temporal variations in absorption and scattering properties. In this paper we demonstrate a clustering method based on specific-absorption properties that gives accurate water quality products from the Medium Resolution Imaging Spectrometer (MERIS). A total of 468 measurements of Chlorophyll a (Chla), Total Suspended Material (TSM), specific- (sIOP) and inherent optical properties (IOP) were measured in the North Sea between April 1999 and September 2004. Chla varied from 0.2 to 35mgm ~(-3), TSM from 0.2 to 75gm ~(-3) and absorption properties of coloured dissolved organic material at 442nm (a _(CDOM)(442)) was 0.02 to 0.26m ~(-1). The variation in absorption properties of phytoplankton (a _(ph)) and non-algal particles (a _(NAP)) were an order of magnitude greater than that for a _(ph) normalized to Chla (a _(ph)*) and a _(NAP) normalized to TSM (a _(NAP)*). Hierarchical cluster analysis on a _(ph)*, a _(NAP)* and a _(CDOM) reduced this large data set to three groups of high a _(NAP)*-a _(CDOM), low a _(ph)* situated close to the coast, medium values further offshore and low a _(NAP)*-a _(CDOM), high a _(ph)* in open ocean and Dutch coastal waters. The median sIOP of each cluster were used to parameterize a semi-analytical algorithm to retrieve concentrations of Chla, TSM and a _(CDOM)(442) from MERIS data. A further 60 measurements of normalized water leaving radiance (nL _w), Chla, TSM, a _(CDOM)(442) and a _(NAP)(442) collected between 2003 and 2006 were used to assess the accuracy of the satellite products. The regionalized MERIS algorithm showed improved performance in Chla and a _(CDOM)(442) estimates with relative percentage differences of 29 and 8% compared to 34 and 134% for standard MERIS Chla and a _(dg)(442) products, and similar retrieval for TSM at concentrations >1g ~(-3).
机译:北海沿海地区对于渔业和旅游业具有重要的商业意义,并且受到有害藻华,富营养化和气候变化的日益不利影响。使用海洋颜色遥感监测这些地区的浮游植物受到吸收和散射特性的高时空变化的阻碍。在本文中,我们演示了一种基于比吸收特性的聚类方法,该方法可从中分辨率成像光谱仪(MERIS)获得准确的水质产品。在1999年4月至2004年9月之间,在北海共进行了468次叶绿素a(Chla),总悬浮物(TSM),比色(sIOP)和固有光学特性(IOP)的测量。Chla的变化范围为0.2至35mgm 〜(-3),TSM为0.2〜75gm〜(-3),有色溶解有机物在442nm(a_(CDOM)(442))的吸收特性为0.02〜0.26m〜(-1)。浮游植物(a_(ph))和非藻类颗粒(a_(NAP))的吸收特性变化比归一化为Chla(a_(ph)*)的_(ph)大一个数量级。 )和标准化为TSM的_(NAP)(_(NAP)*)。对_(ph)*,_(NAP)*和_(CDOM)进行层次聚类分析,将大数据集减少为三组:高(_NAP)*-a(CDOM),低(_( ph)*位于海岸附近,中值位于近海,在开阔的海洋和荷兰沿海水域中,(NAP)*-a(CDOM)低,(_ ph)*高。每个聚类的中值sIOP用于参数化半分析算法,以从MERIS数据中检索Chla,TSM和_(CDOM)(442)的浓度。在2003年至2006年之间收集了60次标准化水剩余辐射率(nL _w),Chla,TSM,_(CDOM)(442)和_(NAP)(442)的测量结果,以评估卫星产品的准确性。区域化的MERIS算法在Chla和_(CDOM)(442)估计中表现出更高的性能,相对百分比差异为29%和8%,而标准MERIS Chla和_(dg)(442)产品的相对百分比差异为34%和134%,并且浓度> 1g〜(-3)的TSM的类似检索。

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