Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra

Huping YE; Bing ZHANG; Xiaohan LIAO; Tongji LI; Qian SHEN; Fangfang ZHANG; Jianhua ZHU; Junsheng LI

doi:10.1007/s00343-019-8079-z

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Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra

Physics | Updated：2023-05-20

- Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra
- Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra
- 海洋湖沼学报（英文） 2019年37卷第5期页码：1542-1554
- Affiliations：
  
  1.State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  2.Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
  3.National Ocean Technology Center, Tianjin 300112, China
  4.China-Sri Lanka Joint Research and Demonstration Center for Water Technology, Chinese Academy of Sciences, Beijing 100085, China
- Author bio：
  
  ZHU Jianhua, besmile@263.net
  LI Junsheng, lijs@radi.ac.cn
- Funds：
  
  the National Natural Science Foundation of China(91638201);the National Natural Science Foundation of China(41276184);the National Natural Science Foundation of China(41771388);the National Natural Science Foundation of China(41471308);the National Natural Science Foundation of China(41571361);the National Natural Science Foundation of China(41701402);the Strategic Priority Research Program of Chinese Academy of Sciences(XDA2003030201);the National Key Research and Development Program of China(2017YFB0503005);the National Key Research and Development Program of China(2016YFC1400903);the National Key Research and Development Program of China(2016YFB0501502);the High Resolution Earth Observation Systems of National Science and Technology Major Projects(41-Y20A31-9003-15/17);the China-Sri Lanka Joint Research and Demonstration Center for Water Technology;the State Development and Reform Commission's Special Financial Projects(2017ST000602)
- DOI：10.1007/s00343-019-8079-z
  中图分类号：
- 收稿：2018-04-28，
  
  录用：2018-10-29，
  
  网络首发：2019-01-16，
  
  纸质出版：2019-09
- Accepted：
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Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra[J]. 海洋湖沼学报（英文）, 2019,37(5):1542-1554.

Huping YE, Bing ZHANG, Xiaohan LIAO, et al. Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra[J]. Journal of Oceanology and Limnology, 2019, 37(5): 1542-1554.
Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra[J]. 海洋湖沼学报（英文）, 2019,37(5):1542-1554. DOI： 10.1007/s00343-019-8079-z.

Huping YE, Bing ZHANG, Xiaohan LIAO, et al. Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra[J]. Journal of Oceanology and Limnology, 2019, 37(5): 1542-1554. DOI： 10.1007/s00343-019-8079-z.

摘要

Abstract

The 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

and

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

of the power regression between characteristic bands and HPLC pigment concentrations (except for chlorophyll

) was 0.65 or greater for surface water samples at autumn cruise. In addition

we determined a strong predictive capability for chlorophylls

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 Woźniak model showed a better fit than the Ficek model for Chl

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.

关键词

Keywords

references

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