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首页> 外文期刊>Estuarine Coastal and Shelf Science >FerryBox and MERIS — Assessment of coastal and shelf sea ecosystems by combining in situ and remotely sensed data
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FerryBox and MERIS — Assessment of coastal and shelf sea ecosystems by combining in situ and remotely sensed data

机译：FerryBox和MERIS —通过结合就地和遥感数据评估沿海和陆架生态系统

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An automatic measuring system called "FerryBox" was installed in the North Sea on a ferry travelling between Germany (Cuxhaven) and Great Britain (Harwich), enabling online oceanographic and biological measurements such as salinity, temperature, fluorescence, turbidity, ox-ygen, pH, and nutrient concentrations. Observations made along the ferry transect reveal characteristic phenomena such as high salinity inflow through the Channel into the Southern Bight, algal bloom dynamics and related oxygen and pH changes. Combination of these online obser-vations with remote sensing enhances the spatial resolution of the transect related measurements. Several examples of the synergy between these two measuring strategies are shown, both for large-scale algal blooms in the North Sea as well as for local intense but short-term blooms in the German Bight. Coherence of the data sets can be gained and improved by using water transport models in order to obtain synoptic overviews of the remotely sensed and FerryBox related parameters. Limitations of the currently used algorithms for deriving chlorophyll-a from remote sens-ing images for coastal and shelf seas (Case-2 water) are discussed, as well as depth related processes which cannot be properly resolved on the basis of water intake at a fixed point. However, in unstratified coastal waters under normal conditions FerryBox data represent average condi-tions. The importance of future applications of this combination of methods for monitoring of coastal waters is emphasized.
机译：在北海的德国（库克斯港）和英国（哈里奇）之间的渡轮上安装了一个名为“ FerryBox”的自动测量系统，可以进行在线海洋学和生物测量，例如盐度，温度，荧光，浊度，氧气， pH值和营养物浓度。沿渡轮断面进行的观测揭示了一些特征现象，例如高盐度通过海峡流入南湾，藻华动态以及相关的氧气和pH值变化。这些在线观测与遥感的结合提高了与样带有关的测量的空间分辨率。展示了这两种测量策略之间协同作用的几个例子，既适用于北海的大规模藻华，也适用于德国湾中的局部密集但短期的藻华。数据集的一致性可以通过使用水运输模型来获得和改善，以便获得有关遥感参数和FerryBox相关参数的概要信息。讨论了目前使用的从沿海和陆架海洋（Case-2水）遥感图像中提取叶绿素-a的算法的局限性，以及与深度相关的过程，这些过程无法根据水位的取水来适当解决。固定点。但是，在正常条件下未分层的沿海水域中，FerryBox数据代表的是平均状况。强调了将这种方法组合用于沿海水域监测的未来应用的重要性。

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