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USING MERIS DATA FOR THE RETRIEVAL OF CHLA, CDOM AND TSS VALUES IN THE GULF OF FINLAND AND LAKE LOHJANJARVI

机译:利用MERIS数据在芬兰和Lohjanjarvi湖中的CHLA,CDOM和TSS价值中检索CHLA,CDOM和TSS值

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We present results obtained with data collected during two water quality measurement campaigns: Gulf of Finland (Baltic Sea) on 27 April 2004 and Finnish Lake Lohjanjarvi on 5 August 2004. The concentrations of chlorophylla, total suspended solids and the absorption coefficient of colored dissolved organic matter are retrieved using MERIS and airborne spectrometer data. The retrieval is based on empirical algorithms developed with ground truth data. For the Gulf of Finland case the ground truth data include ten water samples analyzed in a laboratory and 5103 data points measured with a flowthough instrument. For the Lake Lohjanjarvi the number of water samples is 11 and the number of flowthough data points is 27301. The coefficient of determination of the flowthrough data with water sample data is over 95% for all three optically active substances. Hence, the flowthrough data (in total 32404 data points) can be used as accurate ground truth for satellite and airborne observations. In the Gulf of Finland the retrieval accuracy (R{sup}2) of the three parameters is 83.5 95.5% when channel ratio algorithms are used with MERIS and flowthrough data. With airborne data the accuracies are 93.0 - 97.1%. In addition to the water quality analysis, the field campaign data were used to study the usefulness of an atmospheric correction method specifically developed for Case 2 waters. The atmospheric correction method utilizes biooptical reflectance modeling and principal component analysis. Both field campaigns represent high concentrations of optically active substances such as chlorophylla, total suspended sediment and humus.
机译:我们提出了在2004年4月27日芬兰(波罗的海)和2004年8月27日芬兰(波罗的海)湾(波罗的海)的数据获得的结果。2004年8月5日芬兰·罗哈哈维。叶绿素,总悬浮固体和彩色溶解有机的吸收系数的浓度使用Meris和空中光谱仪数据检索物质。检索是基于与地面真实数据开发的实证算法。对于芬兰的湾,地面真理数据包括在实验室中分析的10个水样,并用流量测量仪器测量的5103个数据点。对于Lohjanjarvi Lake Lahjanjarvi,水样的数量是11,并且数据点的次数为27301.对于所有三种光学活性物质,使用水样数据的流程数据的测定系数超过95%。因此,流动的数据(总共32404个数据点)可以用作卫星和空中观察的准确原始真理。在芬兰湾的湾,三个参数的检索精度(R {SUP} 2)为83.5 95.5%,当信道比算法与MERIS和流程数据一起使用时。使用空中数据,精度为93.0-97.1%。除了水质分析外,现场运动数据用于研究专门为2个水域开发的大气校正方法的有用性。大气校正方法利用生物光学反射率建模和主成分分析。这两个场竞选都代表了高浓度的光学活性物质,如叶绿素,总悬浮沉积物和腐殖质。

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