基于多光谱遥感影像的无锡、苏州水源地叶绿素a和悬浮物浓度反演

Shen Qian, Chuanqing Wu, Z. Bing, Junsheng Li
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引用次数: 2

摘要

无锡和苏州地区的水源污染问题日益严重。广泛、快速地监测水质是遥感技术的优势所在。然而,城市周边的水源是内陆水域,仅凭经验方法很难准确地从遥感中获取叶绿素a和悬浮物浓度。为了克服这一问题,本研究开发了一种基于固有光学参数的分析方法来获取叶绿素-a和悬浮物浓度。为了验证该方法的有效性,我们收集了太湖周边无锡和苏州地区的CBERS CCD图像,现场测量的水反射光谱和固有光学参数,以及无锡同步测量的气溶胶数据。在两个近似前提的基础上,利用红光和近红外图像得到了总悬浮物浓度和叶绿素-a浓度。总悬浮物和叶绿素-a的反演浓度与原位测量值接近。该研究有助于多光谱遥感影像对水源地水质进行监测。
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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
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 retrieve 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.
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