基于船载走航观测高光谱颗粒物吸收系数反演浮游植物粒级结构*

doi:10.11978/2018049

Abstract

Abstract:

Retrieving of phytoplankton groups from hyperspectral optical data has been a hot topic in recent years for studies of marine optics and ocean color remote sensing. In this paper, based on the hyperspectral particulate absorption data (a_p(λ)) measured by the ship’s flow-through system during the Atlantic Meridional Transect (AMT) cruise, two models were proposed and compared for estimating phytoplankton size class (PSC) from the a_p(λ) spectra. An algorithm that defines phytoplankton pigment absorption as a sum of Gaussian functions was used for decomposing the total particulate absorption, and a partial least squares model (PLS_model) was developed for estimating PSC using the Gaussian magnitudes at specific wavelengths. Another model (3component_model) is a modified abundance-based model proposed by Brewin et al (2010), in which the total chlorophyll-a concentration (C, mg·m^-3) was estimated from the absorption line height at 676 nm. Results showed that both models give good results for retrieving PSC from the particulate absorption spectra, with the mean relative errors (ME) for estimating total C in the range of 15%. ME values for estimating the size-specific chlorophyll a concentration (C_p for pico-, C_n for nano- and C_m for micro-plankton) are 28.4%, 31.9% and 41% for the PLS_model, and are 31%, 35.9% and 37.7% for the 3component_model. Our results confirmed the potential advantages of hyperspectral optical measurements for retrieving phytoplankton groups, which also provided much insights for the application of ship-based underway flow-through system in different sea areas.

Key words: phytoplankton size class, hyperspectral data, particulate absorption coefficient, ship-based underway measurements

CLC Number:

P733.39

Guifen WANG, Wenlong XU, Wen ZHOU, Zhantang XU, Wenxi CAO. Retrieving phytoplankton size class from hyperspectral particulate absorption data measured by the ship-based underway flow-through system[J].Journal of Tropical Oceanography, 2018, 37(5): 50-61.

Figures/Tables 12

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References 35

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符号	描述	计算公式
r	皮尔逊相关系数	$\frac{1}{N-1}\sum\limits_{i=1}^{N}{\left[ \frac{C_{i}^{\mathrm{M}}-\left( \frac{1}{N}\sum\nolimits_{j\mathrm{=1}}^{N}{C_{j}^{\mathrm{M}}} \right)}{{{\left\{ \frac{\mathrm{1}}{N-\mathrm{1}}\sum\nolimits_{k\mathrm{=1}}^{N}{\left[ C_{k}^{\mathrm{M}}-\left( \frac{\mathrm{1}}{N}\sum\nolimits_{i}^{N}{C_{i}^{\mathrm{M}}} \right) \right]} \right\}}^{1/2}}} \right]}\left[ \frac{C_{i}^{\mathrm{E}}-\left( \frac{1}{N}\sum\nolimits_{m\mathrm{=1}}^{N}{C_{m}^{\mathrm{E}}} \right)}{{{\left\{ \frac{\mathrm{1}}{N-\mathrm{1}}\sum\nolimits_{n\mathrm{=1}}^{N}{\left[ C_{n}^{\mathrm{E}}-\left( \frac{\mathrm{1}}{N}\sum\nolimits_{0}^{N}{C_{0}^{\mathrm{E}}} \right) \right]} \right\}}^{1/2}}} \right]$
ψ/(mg·m^-3)	均方根差	${{\left[ \frac{\mathrm{1}}{N}\sum\limits_{i\mathrm{=1}}^{N}{{{\left( C_{i}^{\mathrm{E}}-C_{i}^{\mathrm{M}} \right)}^{\mathrm{2}}}} \right]}^{1/2}}$
δ/(mg·m^-3)	偏差	$\frac{\mathrm{1}}{N}\sum\limits_{i\mathrm{=1}}^{N}{\left( C_{i}^{\mathrm{E}}-C_{i}^{\mathrm{M}} \right)}$
R²	决定系数	$\mathrm{1}-\frac{\sum\nolimits_{i\mathrm{=1}}^{N}{{{\left( C_{i}^{\mathrm{E}}-C_{i}^{\mathrm{M}} \right)}^{\mathrm{2}}}}}{\sum\nolimits_{i\mathrm{=1}}^{N}{{{\left( C_{i}^{\mathrm{M}}-\left( \frac{\mathrm{1}}{N}\sum\nolimits_{i\mathrm{=1}}^{N}{C_{i}^{\mathrm{M}}} \right) \right)}^{\mathrm{2}}}}}$
ME/%	平均相对偏差	$\frac{\mathrm{1}}{N}\sum\limits_{i\mathrm{=1}}^{N}{\left( \frac{\left\| C_{i}^{\mathrm{E}}-C_{i}^{\mathrm{M}} \right\|}{C_{i}^{\mathrm{M}}} \right)\times \mathrm{100}}$

	主成分个数	相关系数	均方根差	线性拟合斜率	线性拟合截距
C_p	3	0.743	0.025	0.596	-0.511
C_n	4	0.935	0.025	0.888	-0.163
C_m	2	0.916	0.018	0.854	-0.282
C	3	0.973	0.022	0.946	-0.051

	$C_{\mathrm{p,n}}^{\mathrm{m}}$	S_{p, n}	$C_{\mathrm{p}}^{\mathrm{m}}$	S_p	RMSE_p,n	RMSE_p
本文	2.1882	0.4050	0.1557	4.7234	0.021	0.041
Brewin 等(2010)	1.057	0.851	0.107	6.801	0.045	0.048

	参量	r	Ψ	δ	ME/%
偏最小二乘回归模型	C_p	0.890	0.037	0.009	28.4
	C_n	0.959	0.042	-0.002	31.9
	C_m	0.943	0.033	0.010	41.0
	F_p	0.815	0.116	0.006	23.4
	F_n	0.793	0.095	-0.015	26.8
	F_m	0.595	0.066	0.009	38.4
三组分模型	C_p	0.776	0.043	0.004	31.0
	C_n	0.953	0.047	-0.006	35.9
	C_m	0.943	0.026	0.003	37.7
	F_p	0.826	0.111	0.003	24.9
	F_n	0.758	0.097	-0.005	25.3
	F_m	0.669	0.061	0.002	33.1

Retrieving phytoplankton size class from hyperspectral particulate absorption data measured by the ship-based underway flow-through system

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References 35

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高斯分解参数
中心波长/nm	406	435	454	469	492	523	550	585	617	639	661	675
带宽σ/nm	17	13	12	14	17	15	15	17	14	11	11	10

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