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首页> 外文期刊>Journal of Environment and Earth Science >Estimating Chlorophyll-A Concentration in a Freshwater Lake Using Landsat 8 Imagery
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Estimating Chlorophyll-A Concentration in a Freshwater Lake Using Landsat 8 Imagery

机译:利用Landsat 8影像估算淡水湖中的叶绿素A浓度

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Numerous studies suggest that chlorophyll- a in waters can be measured using Landsat TM/ETM imagery but the feasibility of newly launched Landsat 8 with Operational Land Imager (OLI) on board is still being tested. Jordan Lake is one of the most eutrophic reservoirs in North Carolina, U.S and there is a great need to monitor the spatial distribution of chlorophyll- a in this freshwater lake for better water quality management. The purpose of this study was to examine the applicability of using Landsat 8 imagery to estimate and map chlorophyll- a concentration in Jordan Lake. In this study, the relationship between the reflectance value of an individual OLI band and in situ chlorophyll- a concentration was examined to identify bands sensitive to chlorophyll- a . We also investigated the performance of ratio-based spectral indices to retrieve chlorophyll- a concentrations in Jordan Lake. Two optimal linear equations were developed to model the relationship between ratio-based spectral index and in situ chlorophyll- a concentration in Jordan Lake for different seasons. There was a significant correlation between the spectral index derived from Landsat 8 imagery and chlorophyll- a concentration for Jordan Lake in summer and fall 2013. Spatial distribution of chlorophyll- a concentration in the Jordan Lake was successfully mapped using Landsat 8 imagery for two seasons in 2013. Despite the limitation of this work, our findings suggest that Landsat 8 imagery can be used to estimate chlorophyll- a concentration in fresh waters and it is promising to estimate and map chlorophyll- a concentration in freshwater lakes.
机译:大量研究表明,可以使用Landsat TM / ETM影像来测量水中的叶绿素a,但仍在测试新发射的Landsat 8与机上可操作陆地影像仪(OLI)的可行性。约旦湖是美国北卡罗来纳州最富营养的水库之一,因此迫切需要监测该淡水湖中叶绿素a的空间分布,以实现更好的水质管理。这项研究的目的是检验使用Landsat 8影像估算和绘制约旦湖中叶绿素浓度的适用性。在这项研究中,检查了单个OLI条带的反射率值与原位叶绿素a浓度之间的关系,以确定对叶绿素a敏感的条带。我们还研究了基于比率的光谱指数来检索约旦湖中叶绿素a浓度的性能。建立了两个最佳线性方程,以模拟基于比率的光谱指数与乔丹湖不同季节的原位叶绿素a浓度之间的关系。 2013年夏季和秋季,Landsat 8影像的光谱指数与叶绿素a浓度的光谱指数之间存在显着相关。使用Landsat 8影像成功地绘制了约旦湖中两个季节的叶绿素a浓度的空间分布。 2013年。尽管这项工作有局限性,但我们的发现表明,Landsat 8影像可用于估算淡水中的叶绿素浓度,并且有望估算和绘制淡水湖泊中的叶绿素浓度。

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