闻建光, 肖青, 杨一鹏, 柳钦火, 李小文. 基于高光谱数据提取水体叶绿素a浓度的混合光谱模型[J]. 水科学进展, 2007, 18(2): 270-276.
引用本文: 闻建光, 肖青, 杨一鹏, 柳钦火, 李小文. 基于高光谱数据提取水体叶绿素a浓度的混合光谱模型[J]. 水科学进展, 2007, 18(2): 270-276.
WEN Jian-guang, XIAO Qing, YANG Yi-peng, LIU Qin-huo, LI Xiao-wen. Spectral mixing model and its stability of chlorophyll-a concentration extraction based on hyperspectral data[J]. Advances in Water Science, 2007, 18(2): 270-276.
Citation: WEN Jian-guang, XIAO Qing, YANG Yi-peng, LIU Qin-huo, LI Xiao-wen. Spectral mixing model and its stability of chlorophyll-a concentration extraction based on hyperspectral data[J]. Advances in Water Science, 2007, 18(2): 270-276.

基于高光谱数据提取水体叶绿素a浓度的混合光谱模型

Spectral mixing model and its stability of chlorophyll-a concentration extraction based on hyperspectral data

  • 摘要: 从模型的精度和稳定性方面,与传统的经验模型比较显示,利用原始数据的一阶微分数据进行叶绿素a浓度混合光谱模型反演最佳。最后,以此模型对三种不同年份测量的地面高光谱数据进行了叶绿素a浓度的提取。实验结果表明混合光谱模型可以作为遥感监测水体叶绿素a含量的定量模型。

     

    Abstract: The development of hyperspectral technology enables the quantitative monitoring of water quality based on the hyperspectral data. By now,the ordinary monitoring method always depends on the developing relat ionships between radiance/reflectance in single band or band ratios and the chlorophylla concentration. In this paper,a spectral mixing model is established based on the field hyperspectral data. And three types of data,the original,normalized and differential data,are selected as the input. The optimal band range(670-710 nm)which indicates the chlorophylla concentration is selected,and the chlorophylla concentration is reverted by the linear spectral mixing model in which the water and chlorophylla end-member spectral come from in situ water samples. The compared results show that the spectral mixing model based on differential data gives the best result in the model precision and stabilization. Finally,three-phase field hyperspectral data are processed and the chlorophylla concentration is extracted by using this spectral mixing model. The result shows that the spectral mixing model is a feasible,stable and of high resolution model in the pract ical application of remote sensing water quality monitoring.

     

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