Optical Sensing Group, Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy, via Bassini 15, I-20133 Milano, Italy.
Sci Total Environ. 2011 Aug 1;409(17):3083-91. doi: 10.1016/j.scitotenv.2011.05.001. Epub 2011 May 31.
The lakes of the European perialpine region constitute a large water reservoir, which is threatened by the anthropogenic pressure altering water quality. The Water Framework Directive of the European Commission aims to protect water resources and monitoring is seen as an essential step for achieving this goal. Remote sensing can provide frequent data for large scale studies of water quality parameters such as chlorophyll-a (chl-a). In this work we use a dataset of maps of chl-a derived from over 200 MERIS (MEdium Resolution Imaging Spectrometer) satellite images for comparing water quality of 12 perialpine lakes in the period 2003-2009. Besides the different trophic levels of the lakes, results confirm that the seasonal variability of chl-a concentration is particularly pronounced during spring and autumn especially for the more eutrophic lakes. We show that relying on only one sample for the assessment of lake water quality during the season might lead to misleading results and erroneous assignments to quality classes. Time series MERIS data represents a suitable and cost-effective technology to fill this gap, depicting the dynamics of the surface waters of lakes in agreement with the evolution of natural phenomena.
欧洲阿尔卑斯山前地区的湖泊构成了一个大型水库，受到改变水质的人为压力的威胁。欧盟委员会的《水框架指令》旨在保护水资源，监测被视为实现这一目标的重要步骤。遥感可以为水质参数（如叶绿素-a）的大规模研究提供频繁的数据。在这项工作中，我们使用了一组由超过 200 张 MERIS（中分辨率成像光谱仪）卫星图像生成的叶绿素-a 地图数据集，以比较 2003 年至 2009 年期间 12 个阿尔卑斯山前湖泊的水质。除了湖泊的不同营养水平外，结果还证实，叶绿素-a 浓度的季节性变化在春季和秋季特别明显，特别是对于更富营养化的湖泊。我们表明，仅依靠一个样本来评估湖泊在整个季节的水质可能会导致误导性的结果和错误的水质分类。MERIS 时间序列数据是一种合适且具有成本效益的技术，可以填补这一空白，它可以描绘湖泊表面水的动态，与自然现象的演变一致。
