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Spectral correlation analysis of chlorophyll-a concentration for inland water

机译:叶绿素 - 内陆水浓度的光谱相关分析

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Remote sensing technology shows huge potential in the fields of monitoring the quality of water. Concentration analysis on phytoplankton chlorophyll-a in inland water has become a research hotspot in remote sensing. The purpose of this paper is to calculate correlation between the chlorophyll-a concentration and reflectance data acquired from the terrain spectrometer. The same comparison is done on the concentration of turbidity. The spectral data is captured from four different location of Zhuolu county in Hebei Province through a terrain spectrometer ranging from 351nm to 960nm. The 1 nm spectral resolution provides the capability to estimate the maximum sensitivity spectral data of the chlorophyll-a and turbidity concentration. Besides comparing each singe band with the concentration of chlorophyll-a and turbidity, the combinations of two different spectrums are also analyzed to acquire the maximum sensitivity. The correlation between single band reflection and chlorophyll-a concentration is serious impacted by concentration of turbidity. Meanwhile the difference, ratio and sum-difference combination of two spectrum band combination has shown different response when compared with chlorophyll-a and turbidity. The band combination algorithm can abstract the chlorophyll-a concentration from turbidity. It is proved that high correlation coefficient can be found in specific wavelength regions through the difference reflection between (698~701nm) and (673~684nm), the ratio reflection between (662~681nm) and (532~588nm), and the sum-difference reflection between (662~677nm) and (559~588nm).
机译:遥感技术在监测水质量的领域中显示出巨大的潜力。内陆水中浮游植物叶绿素-A浓度分析已成为遥感中的研究热点。本文的目的是计算从地形光谱仪获取的叶绿素-A浓度和反射率数据之间的相关性。对浊度的浓度进行了相同的比较。光谱数据通过从351nm到960nm的地形光谱仪从河北省Zhuolu县的四个不同位置捕获。 1nm光谱分辨率提供了估计叶绿素-A和浊度浓度的最大敏感性光谱数据的能力。除了将每个单曲带与叶绿素-A和浊度的浓度进行比较外,还分析了两种不同光谱的组合以获取最大灵敏度。单带反射和叶绿素-A浓度之间的相关性受到浊度浓度的严重影响。同时,与叶绿素-A和浊度相比,两种光谱带组合的差异,比率和总和组合显示出不同的响应。带组合算法可以摘要叶绿素 - 浊度浓度。事实证明,通过(698〜701nm)和(673〜684nm)之间的差异反射,可以在特定波长区域中找到高的相关系数,(673〜684nm),(662〜681nm)和(532〜588nm)和总和之间的比率反射 - (662〜677nm)和(559〜588nm)之间的反射。

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