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Retrieval of Chlorophyll-a and suspended matter concentration in water supply sources of Wuxi and Suzhou using multi-spectral remote sensing images

机译:利用多光谱遥感图像检索无锡与苏州供水源的叶绿素-A和悬浮物浓度

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The problem of water source pollution has become more and more serious in Wuxi and Suzhou district. It is urgent to monitor water quality widely and rapidly, which is the advantage of remote sensing. However, water sources around cities are inland waters in which chlorophyll-a and suspended matter concentrations are hard to be retrieved accurately from remote sensing just by using empirical methods. To overcome this problem, this study has developed an analytical method based on inherent optical parameters to retrieve chlorophyll-a and suspended matter concentrations. To validate this method, we have collected a dataset as follows: CBERS CCD image in Taihu Lake around Wuxi and Suzhou, in-situ measured water reflectance spectra, and inherent optical parameters, and the simultaneously measured aerosol data from Wuxi. Based on two approximate premises, we apply the red and the near infrared images to get total suspended matter concentration and chlorophyll-a concentration. The retrieved concentrations of total suspended matter and chlorophyll-a are close with in-situ measured ones. This study is helpful for monitoring water quality of water supply sources from multi-spectral remote sensing images.
机译:无锡和苏州区的水源污染问题变得越来越严重。迫切需要广泛且迅速地监测水质,这是遥感的优势。然而,城市周围的水源是内陆水域,其中通过使用经验方法,难以从遥感中准确地检索叶绿素-A和悬浮物浓度。为了克服这个问题,本研究开发了一种基于固有光学参数的分析方法,以检测叶绿素-A和悬浮物浓度。要验证此方法,我们已收集数据集如下:CBERS CCD在WIAX和SUZHOU的太湖中的CCD图像,原位测量的水反射光谱和固有的光学参数,以及来自无锡的同时测量气溶胶数据。基于两个近似房屋,我们应用红色和近红外图像,以获得总悬浮物质浓度和叶绿素-A浓度。悬浮物的检索浓度和叶绿素-A与原位测量的浓度接近。本研究有助于从多光谱遥感图像监测供水源的水质。

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