首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Using MERIS full resolution data to monitor coastal waters - A case study from Himmerfjarden, a fjord-like bay in the northwestern Baltic Sea
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Using MERIS full resolution data to monitor coastal waters - A case study from Himmerfjarden, a fjord-like bay in the northwestern Baltic Sea

机译:利用MERIS全分辨率数据监测沿海水域-来自波罗的海西北部类似峡湾的希默尔菲亚登(Himmerfjarden)的案例研究

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In this paper we investigate if MERIS full resolution (FR) data (300 m) is sufficient to monitor changes in optical constituents in Himmerfjarden, a fjord-like, north-south facing bay of about 30 km length and 4 km width. The MERIS FR products were derived using a coastal processor (FUB Case-2 Plug-In). We also compared the performance between FUB and standard processor (MEGS 7.4), using reduced resolution (RR) data (1 km resolution) from the open Baltic Sea, and compared the products to sea-truthing data. The optical variables measured for sea-truthing were chlorophyll, suspended particulate matter (SPM), as well as coloured dissolved organic matter (CDOM, also termed yellow substances), and the spectral diffuse attenuation coefficient, K-d(490). The comparison of the RR data to the sea-truthing data showed that, in the open Baltic Sea, the MERIS standard processor overestimated chlorophyll by about 59%, and SPM by about 28%, and underestimated yellow substance by about 81%, whereas the FUB processor underestimated SPNI by about 60%, CDOM by about 78%, and chlorophyll a by about 56%. The FUB processor showed a relatively high precision for all optical components (standard deviation: 6-18%), whereas the precision for the MEGS 7.4 was rather low (standard deviation: 43-73%), except for CDOM (standard deviation: 13%). The analysis of the FR data showed that all FR level 2 water products derived from MERIS followed a polynomial decline in concentration when moving off-shore. The distribution of chlorophyll and SPM was best described by a 2nd order polynomial, and the distribution of CDOM by a 3rd order polynomial, verifying the diffusional model described in Kratzer and Tell [Kratzer, S. and Tett, P. (in press). Using bio-optics to investigate the extent of coastal waters - a Swedish case study. Hydrobiologia.]. A new Kd(490) and Secchi depth algorithm based on MERIS channel 3 (490 nm) and channel 6 (620 nm) each was derived from radiometric sea-truthing data (TACCS, Satlantic). Applying the Kd(490) algorithm to the MERIS FR data over Himmerfjarden, and comparing to sea-truthing data the results showed a strong correlation (r=0.94). When comparing the FR data to the sea-truthing data CDOM and Kd(490) showed a low accuracy, but a high precision with a rather constant off-set. In summary, one may state that the precision of MERIS data improves by applying the FUB Case-2 processor and the accuracy improves with improved spatial resolution for chlorophyll and SPNI. Furthermore, the FUB processor can be used off-the-shelf for open Baltic Sea monitoring, provided one corrects for the respective off-set from sea-truthing data which is most likely caused by an inaccuracy in the atmospheric correction. Additionally, the FR data can be used to derive CDOM, Kd(490) and Secchi depth in Himmmerfjarden if one corrects for the respective off-set. We will need to perform more comparisons between sea-truthing and MERIS FR data before the new K-d(490) algorithm can be made operational, including also scenes from other times of year. In order to provide a level 2 product that can be used reliably by the Baltic Sea user community, our recommendation to ESA is to include the spectral attenuation coefficient as a MERIS standard product. (C) 2007 Elsevier Inc. All rights reserved.
机译:在本文中,我们研究了MERIS全分辨率(FR)数据(300 m)是否足以监视Himmerfjarden(一个峡湾状,南北向,长约30 km,宽4 km的海湾)中光学成分的变化。 MERIS FR产品是使用沿海处理器(FUB Case-2插件)获得的。我们还使用来自开放波罗的海的分辨率降低(RR)数据(1 km分辨率)比较了FUB和标准处理器(MEGS 7.4)的性能,并将产品与海钻数据进行了比较。测得的海藻的光学变量是叶绿素,悬浮颗粒物(SPM)以及有色溶解有机物(CDOM,也称为黄色物质)和光谱扩散衰减系数K-d(490)。 RR数据与原木数据的比较表明,在波罗的海海域,MERIS标准加工商高估了约59%的叶绿素,SPM高估了约28%,黄色物质低估了约81%,而FUB处理器低估了SPNI约60%,CDOM约78%,叶绿素a约56%。 FUB处理器对所有光学组件显示出较高的精度(标准偏差:6-18%),而MEGS 7.4的精度较低(标准偏差:43-73%),除了CDOM(标准偏差:13) %)。对FR数据的分析表明,在海上移动时,所有源自MERIS的FR 2级水产品的浓度均呈多项式下降。叶绿素和SPM的分布最好用二阶多项式描述,而CDOM的分布最好用三阶多项式描述,这验证了Kratzer和Tell [Kratzer,S. and Tett,P.(印刷中)中描述的扩散模型。瑞典案例研究:利用生物光学技术调查沿海水域的范围。水生生物学。一种新的Kd(490)和Secchi深度算法基于MERIS通道3(490 nm)和通道6(620 nm),分别从辐射式海面数据(TACCS,大西洋)中得出。将Kd(490)算法应用于Himmerfjarden上的MERIS FR数据,并与海钻数据进行比较,结果显示出很强的相关性(r = 0.94)。当将FR数据与海面数据进行比较时,CDOM和Kd(490)的精度较低,但偏移量却相当恒定,精度很高。总之,可以指出,通过使用FUB Case-2处理器可以提高MERIS数据的精度,并且通过改善叶绿素和SPNI的空间分辨率可以提高精度。此外,FOB处理器可用于现成的波罗的海监测,前提是可以对来自海洋实测数据的各个偏移量进行校正,这很可能是由大气校正的不准确性引起的。另外,如果一个人校正了各自的偏移量,则FR数据可用于推导Himmmerfjarden中的CDOM,Kd(490)和Secchi深度。在新的K-d(490)算法投入使用之前,我们将需要在海面钻探数据和MERIS FR数据之间进行更多比较,包括一年中其他时间的场景。为了提供可以被波罗的海用户社区可靠使用的2级产品,我们对ESA的建议是将频谱衰减系数作为MERIS标准产品。 (C)2007 Elsevier Inc.保留所有权利。

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