摘要
基于南海海区2006年至2015年8个航次调查数据,采用导数光谱分析方法研究了浮游植物光谱吸收系数与南海典型色素浓度之间的相关特征,进一步建立了用于色素浓度估算的偏最小二乘回归模型(简称PLS回归模型)。研究结果表明:浮游植物吸收系数的导数光谱变化特征可用于关键色素浓度的定量估算,基于二阶导数光谱估算的结果稍优于四阶导数光谱;模型对总叶绿素a(TChl a)、光合有效类胡萝卜素(PSC)、岩藻黄素(Fuco)、19′-丁酰基氧化岩藻黄素(19But)、19′-乙酰基氧化岩藻黄素(19Hex)、硅甲藻黄素(Diadino)等表现出较高的精度,预测值与实测值之间的线性相关性较强,但对于光保护类胡萝卜素(PPC)和玉米黄素(Zea)的估算精度相对较低。与基于总叶绿素a浓度的经验模型相比,基于导数光谱的PLS回归模型对于PSC,Fuco, 19Hex, Diadino等色素的估算效果相当,而对于19But, PPC,Zea等表现出一定的优势。不同种类色素浓度与吸收系数导数光谱之间的内在联系可能是造成不同色素估算精度差异的重要因素。建立的基于浮游植物吸收系数的导数光谱定量提取色素浓度的方法,可为深入细致研究浮游植物种群结构的高光谱水色卫星遥感提供参考。
On the basis of the survey data collected over eight cruises from 2006 to 2015 in the South China Sea, the correlation features between the spectral absorption coefficient of phytoplankton and the typical pigment concentrations in the South China Sea were investigated by the derivative spectral analysis method, and partial least squares(PLS) regression models were then developed for estimating the pigment concentrations. The study results show that the derivative spectral variation of phytoplankton absorption coefficients can be used for quantitatively estimating the key pigment concentrations, and the estimation results based on the second-order derivative spectra are slightly better than those based on the fourth-order spectra. The proposed models achieve high accuracy for TChl a, PSC, Fuco, 19 But, 19 Hex, and Diadino, with a high linear correlation between the predicted and measured values. However, the estimation accuracy of PPC and Zea is relatively low. Compared with the empirical models based on the TChl a concentration, the PLS regression models based on derivative spectra have an equivalent effect on estimating the pigments such as PSC, Fuco, 19 Hex, and Diadino, and show certain advantages for 19 But, PPC, and Zea. The internal relationship between the concentration of different types of pigments and the derivative spectra of absorption coefficients may be an important factor for the difference in the estimation accuracy of different pigments. In conclusion, the method of quantitatively extracting the pigment concentration by the derivative spectra based on the phytoplankton absorption coefficients established in this paper can provide a reference for deeply investigating the hyperspectral remote sensing of phytoplankton population structures based on the ocean color satellites.
作者
王桂芬
张银雪
徐文龙
周雯
吴华莲
许占堂
曹文熙
Wang Guifen;Zhang Yinxue;Xu Wenlong;Zhou Wen;Wu Hualian;Xu Zhantang;Cao Wenxi(Key Laboratory of Marine Hazards Forecasting,Ministry of Natural Resources,Hohai University,Nanjing,Jiangsu 210098,China;College of Oceanography,Hohai University,Nanjing,Jiangsu 210098,China;State Key Laboratory of Tropical Oceanography,South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangxhou,Guangdong 510301,China;CAS Key Laboratory of Tropical Marine Bio-Resources and Ecology,South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou,Guangcdong 510301,China)
出处
《光学学报》
EI
CAS
CSCD
北大核心
2021年第6期8-22,共15页
Acta Optica Sinica
基金
国家自然科学基金(41776045,41976172,41976170)
中央高校基本科研业务费专项资金(2017B06714)。
关键词
海洋光学
吸收系数
浮游植物色素
导数光谱
高光谱
南海
ocean optics
absorption coefficient
phytoplankton pigments
derivative spectra
hyperspectra
South China Sea
