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dc.contributor.authorTiwari, Surya Prakash
dc.contributor.authorZarokanellos, Nikolaos
dc.contributor.authorKheireddine, Malika
dc.contributor.authorShanmugam, Palanisamy
dc.contributor.authorJones, Burton
dc.date.accessioned2018-03-20T12:34:07Z
dc.date.available2018-03-20T12:34:07Z
dc.date.issued2018-03-16
dc.identifier.citationTiwari SP, Zarokanellos N, Kheireddine M, Shanmugam P, Jones BH (2018) Particulate absorption properties in the Red Sea from hyperspectral particulate absorption spectra. Remote Sensing Applications: Society and Environment. Available: http://dx.doi.org/10.1016/j.rsase.2018.03.004.
dc.identifier.issn2352-9385
dc.identifier.doi10.1016/j.rsase.2018.03.004
dc.identifier.urihttp://hdl.handle.net/10754/627367
dc.description.abstractThis paper aims to describe the variability of particulate absorption properties using a unique hyperspectral dataset collected in the Red Sea as part of the TARA Oceans expedition. The absorption contributions by phytoplankton (aph) and non-algal particles (aNAP) to the total particulate absorption coefficients are determined using a numerical decomposition method (NDM). The NDM is validated by comparing the NDM derived values of aph and aNAP with simulated values of aph and aNAP are found to be in excellent agreement for the selected wavelengths (i.e., 443, 490, 555, and 676nm) with high correlation coefficient (R2), low root mean square error (RMSE), mean relative error (MRE), and with a slope close to unity. Further analyses showed that the total particulate absorption coefficients (i.e., ap(443)average = 0.01995m−1) were dominated by phytoplankton absorption (i.e., aph(443)average = 0.01743m−1) with a smaller contribution by non-algal particles absorption (i.e., aNAP(443)average = 0.002524m−1). The chlorophyll a is computed using the absorption based Line Height Method (LHM). The derived chlorophyll-specific absorption ((a⁎ph = aph(λ)/ChlLH)) showed more variability in the blue part of spectrum as compared to the red part of spectrum representative of the package effect and changes in pigment composition. A new parametrization proposed also enabled the reconstruction of a⁎ph(λ) for the Red Sea. Comparison of derived spectral constants with the spectral constants of existing models showed that our study A(λ) values are consistent with the existing values, despite there is a divergence with the B(λ) values. This study provides valuable information derived from the particulate absorption properties and its spectral variability and this would help us to determine the relationship between the phytoplankton absorption coefficients and chlorophyll a and its host of variables for the Red Sea.
dc.description.sponsorshipThis study is supported by the King Abdullah University of Science and Technology (KAUST), Kingdom of Saudi Arabia. We thank the Tara Oceans expedition for making its data available via the NASA SeaBASS website and the NASA Goddard Space Flight Center for providing access to the MODIS-AQUA ocean color data. We are grateful to the anonymous reviewers for their valuable comments, which helped to improve the structure and content of this paper.
dc.publisherElsevier BV
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S2352938517300186
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Remote Sensing Applications: Society and Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Remote Sensing Applications: Society and Environment, [, , (2018-03-16)] DOI: 10.1016/j.rsase.2018.03.004 . © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectRed Sea-Particulate absorption properties-Phytoplankton absorption coefficient-Phytoplankton biomass- TARA Oceans expedition
dc.titleParticulate absorption properties in the Red Sea from hyperspectral particulate absorption spectra
dc.typeArticle
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentMarine Science Program
dc.identifier.journalRemote Sensing Applications: Society and Environment
dc.eprint.versionPost-print
dc.contributor.institutionOcean Optics and Imaging Laboratory, Department of Ocean Engineering, Indian Institute of Technology Madras, Chennai 600036, India
kaust.personTiwari, Surya Prakash
kaust.personZarokanellos, Nikolaos
kaust.personKheireddine, Malika
kaust.personJones, Burton
dc.date.published-online2018-03-16
dc.date.published-print2018-04


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