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VARIABILITY OF BIO-OPTICAL PARAMETERS OF THE SE BALTIC SEA COASTAL WATERS BASED ON IN SITU AND SATELLITE DATA

机译:基于原位和卫星数据的波罗的海沿岸海水生物光学参数的变异性

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In our study we present validation activities associatedwith satellite MERIS image processing aimed atestimating chlorophyll a (chl a), coloured dissolvedorganic matter (CDOM) and total suspended matter(TSM) in the Lithuanian Baltic Sea coastal waters.Eight MERIS full-resolution Level 1b images, acquiredduring late spring and summer 2010, were processedusing five, neural network-based processors foroptically Case 2 coastal and inland waters: FUB, C2R,Eutrophic, Boreal, and standard MERIS Level 2.Results showed that the FUB processor provided themost accurate estimates of the concentration of chl aand TSM. In situ CDOM absorption was mostaccurately estimated using the Boreal processor.SE Baltic Sea at the Lithuanian coast is connected to thehypereutrophic Curonian Lagoon. The outflow regionremains oligohaline with temporary and irregularsalinity fluctuations from 0 to 7(8) PSU mainly drivenby wind. Over the salinity gradient we observed patchydistribution of optically active constituents that maycause the changes of optical water properties. In order tounderstand the impact of the lagoon waters outflow tothe coastal region on the validation results, during thesummer 2012 inherent and apparent optical propertieswere measured and remote sensing reflectance wasanalysed over the investigation region.
机译:在我们的研究中,我们提出与卫星MERIS图像处理相关的验证活动,旨在评估立陶宛波罗的海沿岸水域中的叶绿素a(chl a),有色溶解有机物(CDOM)和总悬浮物(TSM).8个MERIS全分辨率Level 1b图像在2010年春末和夏季期间购入的海藻,使用了五种基于神经网络的处理器进行了光学处理案例2沿海和内陆水域:FUB,C2R,富营养化,北方和标准MERIS 2级。结果表明,FUB处理器提供了最准确的估计chl a和TSM的浓度。使用Boreal处理器可以最准确地估算原位CDOM的吸收。立陶宛海岸的SE波罗的海与富营养化的库尔斯泻湖相连。流出区域仍为低盐度,主要由风驱动,盐度在0至7(8)PSU之间存在暂时性和不规则性波动。在盐度梯度上,我们观察到光学活性成分的斑片状分布,这可能导致光学水性质的变化。为了了解泻湖水流向沿海地区对验证结果的影响,在2012年夏季期间,对固有和明显的光学特性进行了测量,并对调查区域的遥感反射率进行了分析。

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  • 来源
    《ESA living planet symposium》|2013年|1-6|共6页
  • 会议地点 Edinburgh(GB)
  • 作者单位

    Coastal Research and Planning Institute Klaip?da University H. Manto 84 LT 92294 Klaip?da Lithuania Email:diana@corpi.ku.lt;

    Optical Remote Sensing Group CNR-IREA Via Bassini 15 20133 Milan Italy Email: bresciani.m@irea.cnr.it;

    Optical Remote Sensing Group CNR-IREA Via Bassini 15 20133 Milan Italy Email: matta.e@irea.cnr.it;

    Institute of Marine Science CNR- ISMAR Castello 1364/a 30122 Venezia Italy Email: federica.braga@ve.ismar.cnr.it;

    Coastal Research and Planning Institute Klaip?da University H. Manto 84 LT 92294 Klaip?da Lithuania Email:martynas@corpi.ku.lt;

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