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gaussiandecompositionandcomponentpigmentspectralanalysisofphytoplanktonabsorptionspectra
Ye Huping1; Zhang Bing2; Liao Xiaohan1; Li Tongji3; Shen Qian2; Zhang Fangfang2; Zhu Jianhua3; Li Junsheng2
2019
Source Publicationjournalofoceanologyandlimnology
ISSN2096-5508
Volume37Issue:5Pages:1542
AbstractThe absorption spectrum of phytoplankton is an important bio-optical parameter for ocean color hyperspectral remote sensing;its magnitude and shape can be affected considerably by pigment composition and concentration.We conducted Gaussian decomposition to the absorption spectra of phytoplankton pigment and studied the spectral components of the phytoplankton,in which the package effect was investigated using pigment concentration data and phytoplankton absorption spectra.The decomposition results were compared with the corresponding concentrations of the five main pigment groups (chlorophylls a,b,and c,photo-synthetic carotenoids (PSC),and photo-protective carotenoids (PPC)).The results indicate that the majority of residual errors in the Gaussian decomposition are <0.001 m -1,and R 2 of the power regression between characteristic bands and HPLC pigment concentrations (except for chlorophyll b) was 0.65 or greater for surface water samples at autumn cruise.In addition,we determined a strong predictive capability for chlorophylls a,c,PPC,and PSC.We also tested the estimation of pigment concentrations from the empirical specific absorption coefficient of pigment composition.The empirical decomposition showed that the Ficek model was the closest to the original spectra with the smallest residual errors.The pigment decomposition results and HPLC measurements of pigment concentration are in a high consistency as the scatter plots are distributed largely near the 1:1 line in spite of prominent seasonal variations.The Wozniak model showed a better fit than the Ficek model for Chl a,and the median relative error was small.The pigment component information estimated from the phytoplankton absorption spectra can help better remote sensing of hyperspectral ocean color that related to the changes in phytoplankton communities and varieties.
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/95030
Collection中国科学院地理科学与资源研究所
Affiliation1.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences
2.中国科学院遥感与数字地球研究所
3.National Ocean Technology Center
Recommended Citation
GB/T 7714
Ye Huping,Zhang Bing,Liao Xiaohan,et al. gaussiandecompositionandcomponentpigmentspectralanalysisofphytoplanktonabsorptionspectra[J]. journalofoceanologyandlimnology,2019,37(5):1542.
APA Ye Huping.,Zhang Bing.,Liao Xiaohan.,Li Tongji.,Shen Qian.,...&Li Junsheng.(2019).gaussiandecompositionandcomponentpigmentspectralanalysisofphytoplanktonabsorptionspectra.journalofoceanologyandlimnology,37(5),1542.
MLA Ye Huping,et al."gaussiandecompositionandcomponentpigmentspectralanalysisofphytoplanktonabsorptionspectra".journalofoceanologyandlimnology 37.5(2019):1542.
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