Remote sensing estimation of phytoplankton absorption associated with size classes in coastal waters

As a second-order expression of the phytoplankton absorption coefficient (aph(λ)), the specific absorption coefficient of phytoplankton (aph*(λ)) is an essential optical parameter that refines the aph(λ) normalized by phytoplankton pigment concentration. Based on the in-situ samples collected in the...

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Autores principales:	Yu Huan, Deyong Sun, Shengqiang Wang, Hailong Zhang, Zhongfeng Qiu, Muhammad Bilal, Yijun He
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Phytoplankton specific absorption coefficient Application assessment Long term distribution Marginal seas of China GOCI MODIS Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/8c00de0d9fbf4c9a84ab68dfc9e0a266
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spelling	oai:doaj.org-article:8c00de0d9fbf4c9a84ab68dfc9e0a2662021-12-01T04:38:32ZRemote sensing estimation of phytoplankton absorption associated with size classes in coastal waters1470-160X10.1016/j.ecolind.2020.107198https://doaj.org/article/8c00de0d9fbf4c9a84ab68dfc9e0a2662021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20311377https://doaj.org/toc/1470-160XAs a second-order expression of the phytoplankton absorption coefficient (aph(λ)), the specific absorption coefficient of phytoplankton (aph(λ)) is an essential optical parameter that refines the aph(λ) normalized by phytoplankton pigment concentration. Based on the in-situ samples collected in the Bohai Sea, Yellow Sea, and the East China Sea, this study presents a combined approach to determine the specific absorption coefficients of micro- (am(λ)), nano- (an(λ)), and picophytoplankton (ap(λ)). Together with am(λ) estimated by the two-component assumption model, our method effectively extracted an(λ) and ap(λ) through the least square method. Independent in-situ validation datasets tested the performances of the proposed am(λ), an(λ), and ap(λ) by modeling aph(λ), and generated encouraging and acceptable predictive errors. The derived mean absolute percentage errors ranged from approximately 35%–55% for several typical wavebands (namely, 412, 443, 490, 555, 660, and 680 nm). Validation by using satellite-ground synchronization samples also produced comparative predictive errors. The spatial distribution of aph(λ) and the absorption of micro-, nano-, and picophytoplankton were mapped through applying the proposed specific absorption coefficients to Geostationary Ocean Color Imager (GOCI) images. This showed a spatial rule that pico- and nanophytoplankton dominate the total absorption, rather than microphytoplankton. The annual Moderate Resolution Imaging Spectroradiometer (MODIS) aph(443) product from 2002 to 2019 was used to assess the transferability of those specific absorption coefficients and showed a good performance. The accurate acquirement of aph(λ) can provide basical datasets for further environment research, such as estimating primary ocean productivity.Yu HuanDeyong SunShengqiang WangHailong ZhangZhongfeng QiuMuhammad BilalYijun HeElsevierarticlePhytoplankton specific absorption coefficientApplication assessmentLong term distributionMarginal seas of ChinaGOCIMODISEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107198- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Phytoplankton specific absorption coefficient Application assessment Long term distribution Marginal seas of China GOCI MODIS Ecology QH540-549.5
spellingShingle	Phytoplankton specific absorption coefficient Application assessment Long term distribution Marginal seas of China GOCI MODIS Ecology QH540-549.5 Yu Huan Deyong Sun Shengqiang Wang Hailong Zhang Zhongfeng Qiu Muhammad Bilal Yijun He Remote sensing estimation of phytoplankton absorption associated with size classes in coastal waters
description	As a second-order expression of the phytoplankton absorption coefficient (aph(λ)), the specific absorption coefficient of phytoplankton (aph(λ)) is an essential optical parameter that refines the aph(λ) normalized by phytoplankton pigment concentration. Based on the in-situ samples collected in the Bohai Sea, Yellow Sea, and the East China Sea, this study presents a combined approach to determine the specific absorption coefficients of micro- (am(λ)), nano- (an(λ)), and picophytoplankton (ap(λ)). Together with am(λ) estimated by the two-component assumption model, our method effectively extracted an(λ) and ap(λ) through the least square method. Independent in-situ validation datasets tested the performances of the proposed am(λ), an(λ), and ap(λ) by modeling aph(λ), and generated encouraging and acceptable predictive errors. The derived mean absolute percentage errors ranged from approximately 35%–55% for several typical wavebands (namely, 412, 443, 490, 555, 660, and 680 nm). Validation by using satellite-ground synchronization samples also produced comparative predictive errors. The spatial distribution of aph(λ) and the absorption of micro-, nano-, and picophytoplankton were mapped through applying the proposed specific absorption coefficients to Geostationary Ocean Color Imager (GOCI) images. This showed a spatial rule that pico- and nanophytoplankton dominate the total absorption, rather than microphytoplankton. The annual Moderate Resolution Imaging Spectroradiometer (MODIS) aph(443) product from 2002 to 2019 was used to assess the transferability of those specific absorption coefficients and showed a good performance. The accurate acquirement of aph(λ) can provide basical datasets for further environment research, such as estimating primary ocean productivity.
format	article
author	Yu Huan Deyong Sun Shengqiang Wang Hailong Zhang Zhongfeng Qiu Muhammad Bilal Yijun He
author_facet	Yu Huan Deyong Sun Shengqiang Wang Hailong Zhang Zhongfeng Qiu Muhammad Bilal Yijun He
author_sort	Yu Huan
title	Remote sensing estimation of phytoplankton absorption associated with size classes in coastal waters
title_short	Remote sensing estimation of phytoplankton absorption associated with size classes in coastal waters
title_full	Remote sensing estimation of phytoplankton absorption associated with size classes in coastal waters
title_fullStr	Remote sensing estimation of phytoplankton absorption associated with size classes in coastal waters
title_full_unstemmed	Remote sensing estimation of phytoplankton absorption associated with size classes in coastal waters
title_sort	remote sensing estimation of phytoplankton absorption associated with size classes in coastal waters
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/8c00de0d9fbf4c9a84ab68dfc9e0a266
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_version_	1718405856395001856

Remote sensing estimation of phytoplankton absorption associated with size classes in coastal waters

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