The Color of Water from Space: A Case Study for Italian Lakes from Sentinel-2

C. Giardino, Kerttu-Liis Kõks, R. Bolpagni, G. Luciani, G. Candiani, M. Lehmann, H. J. Woerd, M. Bresciani
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引用次数: 13

Abstract

Lakes are inestimable renewable natural resources that are under significant pressure by human activities. Monitoring lakes regularly is necessary to understand their dynamics and the drivers of these dynamics to support effective management. Remote sensing by satellite sensors offers a significant opportunity to increase the spatiotemporal coverage of environmental monitoring programs for inland waters. Lake color is a water quality attribute that can be remotely sensed and is independent of the sensor specifications and water type. In this study we used the Multispectral Imager (MSI) on two Sentinel-2 satellites to determine the color of water of 170 Italian lakes during two periods in 2017. Overall, most of the lakes appeared blue in spring and green-yellow in late summer, and in particular, we confirm a blue-water status of the largest lakes in the subalpine ecoregion. The color and its seasonality are consistent with characteristics determined by geomorphology and primary drivers of water quality. This suggests that information about the color of the lakes can contribute to synoptic assessments of the trophic status of lakes. Further ongoing research efforts are focused to extend the mapping over multiple years.
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来自太空的水的颜色:来自哨兵2号的意大利湖泊的案例研究
湖泊是一种不可估量的可再生自然资源,受到人类活动的巨大压力。定期监测湖泊是必要的,以了解其动态和这些动态的驱动因素,以支持有效的管理。卫星遥感为增加内陆水域环境监测项目的时空覆盖范围提供了重要的机会。湖泊颜色是一种可以遥感的水质属性,与传感器的规格和水的类型无关。在这项研究中,我们使用两颗哨兵2号卫星上的多光谱成像仪(MSI)来确定2017年两个时期意大利170个湖泊的水的颜色。总体而言,大多数湖泊在春季呈现蓝色,夏末呈现黄绿色,特别是亚高山生态区最大的湖泊呈现蓝水状态。颜色及其季节性与地貌和水质主要驱动因素决定的特征一致。这表明湖泊颜色信息有助于湖泊营养状况的天气性评价。进一步正在进行的研究工作的重点是延长多年的绘图。
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