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基于2004年5月和2006年8月于珠江口现场实测的遥感反射率光谱及叶绿素浓度数据,采用导数光谱技术,对高光谱在河口浑浊水体的叶绿素反演的应用进行了研究。结果表明,二阶导数光谱的特征波段较原始光谱、一阶导数光谱对浑浊水体的叶绿素含量更为敏感;当水体浊度变化范围为10～130 NTU,光谱分辨率为10 nm、中心波长为620 nm、670 nm及680 nm的二阶导数光谱与叶绿素浓度(1～50μg/L)呈显著相关(线性相关系数分别为0.75、0.85及0.7);基于670 nm处二阶导数光谱的简单线性模型对叶绿素浓度有较好的反演精度。该结果可为光学复杂水体的叶绿素高光谱遥感估算提供新的方法。
Based on the remote sensing reflectance spectra and the chlorophyll concentration data measured at the Pearl River Estuary in May 2004 and August 2006, the application of hyperspectral spectral data to the chlorophyll in the turbid water of the estuary was studied by using derivative spectroscopy. The results show that the characteristic bands of the second derivative spectrum are more sensitive to the chlorophyll content of turbid water than the original one and the first derivative spectrum. When the water turbidity ranges from 10 to 130 NTU and the spectral resolution is 10 nm, the center wavelength is The second order derivative spectra at 620 nm, 670 nm and 680 nm were significantly correlated with chlorophyll concentrations (1 ~ 50 μg / L) (linear correlation coefficients were 0.75, 0.85 and 0.7, respectively). Based on the second order derivative spectra at 670 nm, The model has a good accuracy of chlorophyll concentration inversion. The results provide a new method for the estimation of chlorophyll hyperspectral data in optical complex water.