Głuszyńskie Lake Water Quality Assesment Using Sentinel-2 Data

W. Ciężkowski, M. Frąk, I. Kardel, P. Popielarski, J. Chormański
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Abstract

Traditional inland water monitoring is time and labor consuming, as well as expensive. Additionally, on its basis, only point values are obtained. Sometimes only single value represents the whole lake water quality. In the literature many remote sensing measurement based formulas for water quality parameters can be find. Ocean and marine waters are better recognized in this area. However, also for inland water some formulas can by find in literature. In this study selected formulas for 4 water quality parameters (biological oxygen demand, dissolved organic carbon, chlorophyll concentration and electrical conductivity) were applied for two-year (only vegetation season) series of Sentienl-2 images registered over the Głuszyńskie Lake, Poland. Results were validated based on measurements conducted in 2021-10-08 (one day before Sentienl-2 acquisition). Two from four validated parameters strongly correlated (R 2 =0.61 for DOC and R 2 =0.84 for EC) with field data. However, coefficients of this relationship shows that formulas from literature can show spatial distribution of these parameters and hotspots, but for correct quantitative estimation further analysis should be done to adapt formulas for local conditions.
Głuszyńskie基于Sentinel-2数据的湖泊水质评价
传统的内河水质监测费时费力,成本昂贵。在此基础上,只得到点值。有时只有一个值代表整个湖泊的水质。在文献中可以找到许多基于遥感测量的水质参数公式。海洋和海水在这一地区得到了更好的认识。然而,对于内陆水域,也可以在文献中找到一些公式。本研究选取了4个水质参数(生物需氧量、溶解有机碳、叶绿素浓度和电导率)的公式,应用于波兰Głuszyńskie湖上两年(仅植被季节)的Sentienl-2系列图像。结果基于2021年10月8日(Sentienl-2采集前一天)进行的测量进行验证。4个验证参数中的2个与现场数据强相关(DOC的r2 =0.61, EC的r2 =0.84)。然而,该关系的系数表明,文献中的公式可以反映这些参数和热点的空间分布,但为了正确的定量估计,还需要进一步分析,使公式因地制宜。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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