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.

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

  • 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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