Abstract
内陆水体叶绿素a浓度定量反演是水质遥感的热点与难点.本文基于对内陆水体叶绿素a、悬浮物、溶解有机物与水分子的光谱特征分析,从半分析生物光学模型出发,利用太湖实测的水面ASD高光谱遥感数据三波段组合,进行迭代优化,得到与叶绿素浓度密切相关而受悬浮物与黄色物质影响小的最优波段组合模型,反演精度较高,其决定系数和均方根误差分别为0.8358、3.816mg/m<sup>3</sup>,该方法可以有效地反演高浓度悬浮物主导光学特性的水体叶绿素a浓度.;Inversion of phytoplankton chlorophyll-a concentration of inland water body is hotspot and difficulty problem inwater quality remote sensing. This paper provides a method to resolve this problem. Basing on the characteristic spectralanalysis of chlorophyll-a, suspended matter, chromatic dissolved inorganic matter and pure water molecule in inland waterbody, the three-band model was spectrally tuned in accord with optical properties of Lake Taihu to optimize spectral bandscombination for accurate chlorophyll-a concentration estimation. The remarkable linear relationship was established betweenanalytically measured chlorophyll-a concentration and the three-band model. Depended on the favorable theory basis of themodel developed, this method achieved good result with high determination coefficient 0.8358 and low root-mean-squareerror (3.816 mg/m<sup>3</sup>), which was proved to be an useful tool to retrieval chlorophyll-a concentration in very turbid, hyper-eutrophicinland waters.
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