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MONITORING THE WATER QUALITY OF LAKE KORONIA USING LONG TIME-SERIES OF MULTISPECTRAL SATELLITE IMAGES

机译:使用长时间系列的多光谱卫星图像监测Koronia湖水质量

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In this study, a comprehensive 30-year (1984-2016) water quality parameter database for lake Koronia - one of the most important Ramsar wetlands of Greece - was compiled from Landsat imagery. The reliability of the data was evaluated by comparing water Quality Element (QE) values computed from Landsat data against in-situ data. Water quality algorithms developed from previous studies, specifically for the determination of Water Temperature, pH, Transparency/Secchi Disk Depth (SDD), Chlorophyll a and Conductivity, were applied to Landsat images. In addition, Water Depth, as well as the distribution of floating vegetation and cyanobacterial blooms were mapped. The performed comprehensive analysis posed certain questions, regarding the applicability of single empirical models across multi-temporal, multi-sensor datasets, towards the accurate prediction of key water quality indicators for shallow inland systems. This assessment demonstrates that satellite imagery can provide an accurate method for obtaining comprehensive spatial and temporal coverage of key water quality characteristics.
机译:在本研究中,韩国湖的全面30年(1984-2016)水质参数数据库 - 希腊最重要的Ramsar湿地之一 - 由Landsat Imagery编制。通过将从Landsat数据计算的水质元素(QE)值与原位数据进行比较来评估数据的可靠性。从先前的研究中开发的水质算法,专门用于测定水温,pH,透明度/ secchi盘深度(SDD),叶绿素A和电导率,用于Landsat图像。此外,绘制了水深,以及漂浮植被和蓝藻绽放的分布。所表演的综合分析提出了某些问题,关于单颞,多传感器数据集的单一实证模型的适用性,朝向浅内部系统的主要水质指标精确预测。该评估表明,卫星图像可以提供一种准确的方法,用于获得综合空间和时间覆盖的关键水质特性。

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