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A study on inland water quality parameters estimation and mapping using hyperion imagery

机译:利用高离子影像估算内陆水质参数的研究

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Water quality parameter is an important indicator to measure the productivity and eutrophication of water. The paper focuses on the estimation research of water quality parameters in Dongting Lake, based on Hyperion image which was acquired on December 28, 2010. Based on atmosphere correction and spectral features analysis, the sensitive bands and band combinations were compared with in situ spectral data. Then estimation model for chlorophyll a concentration and suspended solids concentration were built respectively, and corresponding spatial distribution features were analyzed. Results showed that the effect of Hyperion atmosphere correction was perfect, which can be used for the estimation of water quality parameters. The ratio of band 701nm and 752nm was suitable for the inversion of chlorophyll a concentration. Mapping results of water quality parameters are reasonable and consistent with the natural distribution rules. The research reveals the potential of Hyperion image on the inland water monitoring, which contributes to the accurate estimation of water quality parameter monitoring.
机译:水质参数是衡量水的生产率和富营养化的重要指标。本文基于2010年12月28日采集的Hyperion影像,对洞庭湖水质参数进行估算研究。基于大气校正和光谱特征分析,将敏感谱带和谱带组合与原位谱数据进行了比较。 。然后分别建立了叶绿素a浓度和悬浮物浓度的估算模型,并分析了相应的空间分布特征。结果表明,Hyperion大气校正的效果是完美的,可用于估算水质参数。 701nm和752nm波段的比值适合于反演叶绿素a的浓度。水质参数测绘结果合理,符合自然分布规律。该研究揭示了Hyperion影像在内陆水域监测中的潜力,这有助于对水质参数监测的准确估算。

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