Retrieval of Phytoplankton Pigment Composition from Their In Vivo Absorption Spectra
Retrieval of Phytoplankton Pigment Composition from Their In Vivo Absorption Spectra
复制标题
从浮游植物体内吸收光谱中检索浮游植物色素成分
DOI：
10.3390/rs13245112
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发表时间：
2021-12
期刊：
影响因子：
5
通讯作者：
Long Jiang
中科院分区：
文献类型：
--
作者：
Yinxue Zhang;Guifen Wang;Shubha Sathyendranath;Wenlong Xu;Yizhe Xiao;Long Jiang
藻类色素组成是浮游植物群落结构的一个指标，可以从光学观测估计。评估从浮游植物吸收中提取不同类型色素的潜在能力对于进一步应用至关重要。本研究调查了三个模型的性能和实用程序的高光谱在体内浮游植物吸收光谱检索色素组成使用一个大型数据库（n = 1392）。比较了基于叶绿素a（Chl-a模型）、高斯分解（Gaussian模型）和偏最小二乘（PLS）回归（PLS模型）的模型。高斯模型和偏最小二乘模型都适用于高光谱浮游植物吸收数据。统计分析揭示了每个模型的优点和局限性。Chl-a模型对于叶绿素-c（Chl-c）、二甲藻黄素、岩藻黄素、光合类胡萝卜素（PSC）和光保护类胡萝卜素（PPC）表现良好，交叉验证的中值绝对百分比差异（MAPDCV）<58%。高斯模型对Chl-a、Chl-c、PSC和PPC的预测效果良好（MAPDCV < 43%）。PLS模型的性能与Chl-a模型的性能相当，并且它表现出对叶绿素b、四黄质、多甲藻素和玉米黄质的改进的检索。与PLS模型进行的其他工作揭示了高光谱分辨率数据和光谱导数分析检索标记颜料浓度的前景。这项研究证明了原位高光谱浮游植物吸收数据用于检索色素成分的适用性，并为从高光谱和卫星海洋颜色观测中开发生物光学算法提供了有益的见解。
Algal pigment composition is an indicator of phytoplankton community structure that can be estimated from optical observations. Assessing the potential capability to retrieve different types of pigments from phytoplankton absorption is critical for further applications. This study investigated the performance of three models and the utility of hyperspectral in vivo phytoplankton absorption spectra for retrieving pigment composition using a large database (n = 1392). Models based on chlorophyll-a (Chl-a model), Gaussian decomposition (Gaussian model), and partial least squares (PLS) regression (PLS model) were compared. Both the Gaussian model and the PLS model were applied to hyperspectral phytoplankton absorption data. Statistical analysis revealed the advantages and limitations of each model. The Chl-a model performed well for chlorophyll-c (Chl-c), diadinoxanthin, fucoxanthin, photosynthetic carotenoids (PSC), and photoprotective carotenoids (PPC), with a median absolute percent difference for cross-validation (MAPDCV) < 58%. The Gaussian model yielded good results for predicting Chl-a, Chl-c, PSC, and PPC (MAPDCV < 43%). The performance of the PLS model was comparable to that of the Chl-a model, and it exhibited improved retrievals of chlorophyll-b, alloxanthin, peridinin, and zeaxanthin. Additional work undertaken with the PLS model revealed the prospects of hyperspectral-resolution data and spectral derivative analyses for retrieving marker pigment concentrations. This study demonstrated the applicability of in situ hyperspectral phytoplankton absorption data for retrieving pigment composition and provided useful insights regarding the development of bio-optical algorithms from hyperspectral and satellite-based ocean-colour observations.
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影响因子：
11.6
作者：
Corinne Le Quéré;S. Harrison;I. Colin Prentice;E. Buitenhuis;O. Aumont;L. Bopp;H. Claustre;Letícia Cotrim da Cunha;R. Geider;X. Giraud;C. Klaas;K. Kohfeld;L. Legendre;M. Manizza;T. Platt;R. Rivkin;S. Sathyendranath;J. Uitz;A. Watson;D. Wolf-Gladrow
通讯作者：
Corinne Le Quéré;S. Harrison;I. Colin Prentice;E. Buitenhuis;O. Aumont;L. Bopp;H. Claustre;Letícia Cotrim da Cunha;R. Geider;X. Giraud;C. Klaas;K. Kohfeld;L. Legendre;M. Manizza;T. Platt;R. Rivkin;S. Sathyendranath;J. Uitz;A. Watson;D. Wolf-Gladrow
影响因子：
13.5
作者：
H. Xi;S. Losa;A. Mangin;M. A. Soppa;P. Garnesson;J. Demaria;Yangyang Liu;O. F. d'Andon;A. Bracher
通讯作者：
H. Xi;S. Losa;A. Mangin;M. A. Soppa;P. Garnesson;J. Demaria;Yangyang Liu;O. F. d'Andon;A. Bracher
DOI：
10.1117/12.262471
发表时间：
1996-12
期刊：
--
影响因子：
--
作者：
F. Tsai;W. Philpot
通讯作者：
F. Tsai;W. Philpot
影响因子：
2.1
作者：
Margareth N. Kyewalyanga;T. Platt;S. Sathyendranath;V. Lutz;V. Stuart
通讯作者：
Margareth N. Kyewalyanga;T. Platt;S. Sathyendranath;V. Lutz;V. Stuart
影响因子：
13.5
作者：
Tomonori Isada;T. Hirawake;Tsukuru Kobayashi;Yuichi Nosaka;Masafumi Natsuike;I. Imai;Koji Suzuki;S. Saitoh
通讯作者：
Tomonori Isada;T. Hirawake;Tsukuru Kobayashi;Yuichi Nosaka;Masafumi Natsuike;I. Imai;Koji Suzuki;S. Saitoh