Remote estimation of phytoplankton size fractions using the spectral shape of light absorption SCIE SCOPUS

DC Field Value Language
dc.contributor.author Wang, Shengqiang -
dc.contributor.author Ishizaka, Joji -
dc.contributor.author Hirawake, Toru -
dc.contributor.author Watanabe, Yuji -
dc.contributor.author Zhu, Yuanli -
dc.contributor.author Hayashi, Masataka -
dc.contributor.author Yoo, Sinjae -
dc.date.accessioned 2020-04-20T03:40:32Z -
dc.date.available 2020-04-20T03:40:32Z -
dc.date.created 2020-01-28 -
dc.date.issued 2015-04-20 -
dc.identifier.issn 1094-4087 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/2501 -
dc.description.abstract Phytoplankton size structure plays an important role in ocean biogeochemical processes. The light absorption spectra of phytoplankton provide a great potential for retrieving phytoplankton size structure because of the strong dependence on the packaging effect caused by phytoplankton cell size and on different pigment compositions related to phytoplankton taxonomy. In this study, we investigated the variability in light absorption spectra of phytoplankton in relation to the size structure. Based on this, a new approach was proposed for estimating phytoplankton size fractions. Our approach use the spectral shape of the normalized phytoplankton absorption coefficient (a(ph)(lambda)) through principal component analysis (PCA). Values of a(ph)(lambda) were normalized to remove biomass effects, and PCA was conducted to separate the spectral variance of normalized a(ph)(lambda) into uncorrelated principal components (PCs). Spectral variations captured by the first four PC modes were used to build relationships with phytoplankton size fractions. The results showed that PCA had powerful ability to capture spectral variations in normalized a(ph)(lambda), which were significantly related to phytoplankton size fractions. For both hyperspectral a(ph)(lambda) and multiband a(ph)(lambda), our approach is applicable. We evaluated our approach using wide in situ data collected from coastal waters and the global ocean, and the results demonstrated a good and robust performance in estimating phytoplankton size fractions in various regions. The model performance was further evaluated by a(ph)(lambda) derived from in situ remote sensing reflectance (R-rs(lambda)) with a quasi-analytical algorithm. Using R-rs(lambda) only at six bands, accurate estimations of phytoplankton size fractions were obtained, with R-2 values of 0.85, 0.61, and 0.76, and root mean-square errors of 0.130, 0.126, and 0.112 for micro-, nano-, and picophytoplankton, respectively. Our approach provides practical basis for remote estimation of phytoplankton size structure using a(ph)(lambda) derived from satellite observations or rapid field instrument measurements in the future. (C)2015 Optical Society of America -
dc.description.uri 1 -
dc.language English -
dc.publisher OPTICAL SOC AMER -
dc.subject INHERENT OPTICAL-PROPERTIES -
dc.subject OCEAN-COLOR DATA -
dc.subject ALGORITHM DEVELOPMENT -
dc.subject SENSING REFLECTANCE -
dc.subject COMMUNITY STRUCTURE -
dc.subject MEDITERRANEAN SEA -
dc.subject SATELLITE DATA -
dc.subject SHELF REGION -
dc.subject PIGMENT -
dc.subject MODEL -
dc.title Remote estimation of phytoplankton size fractions using the spectral shape of light absorption -
dc.type Article -
dc.citation.endPage 10318 -
dc.citation.startPage 10301 -
dc.citation.title OPTICS EXPRESS -
dc.citation.volume 23 -
dc.citation.number 8 -
dc.identifier.bibliographicCitation OPTICS EXPRESS, v.23, no.8, pp.10301 - 10318 -
dc.identifier.doi 10.1364/OE.23.010301 -
dc.identifier.scopusid 2-s2.0-84948660952 -
dc.identifier.wosid 000353299300080 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.subject.keywordPlus INHERENT OPTICAL-PROPERTIES -
dc.subject.keywordPlus OCEAN-COLOR DATA -
dc.subject.keywordPlus ALGORITHM DEVELOPMENT -
dc.subject.keywordPlus SENSING REFLECTANCE -
dc.subject.keywordPlus COMMUNITY STRUCTURE -
dc.subject.keywordPlus MEDITERRANEAN SEA -
dc.subject.keywordPlus SATELLITE DATA -
dc.subject.keywordPlus SHELF REGION -
dc.subject.keywordPlus PIGMENT -
dc.subject.keywordPlus MODEL -
dc.relation.journalWebOfScienceCategory Optics -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Optics -
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Jeju Research Institute > Jeju Marine Research Center > 1. Journal Articles
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