Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/29848
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dc.contributor.authorRiddick, Caitlin A Len_UK
dc.contributor.authorHunter, Peter Den_UK
dc.contributor.authorGómez, José Antonio Domínguezen_UK
dc.contributor.authorMartinez-Vicente, Victoren_UK
dc.contributor.authorPrésing, Mátyásen_UK
dc.contributor.authorHorváth, Hajnalkaen_UK
dc.contributor.authorKovács, Attila Wen_UK
dc.contributor.authorVörös, Lajosen_UK
dc.contributor.authorZsigmond, Eszteren_UK
dc.contributor.authorTyler, Andrew Nen_UK
dc.date.accessioned2019-07-11T00:01:15Z-
dc.date.available2019-07-11T00:01:15Z-
dc.date.issued2019-07en_UK
dc.identifier.other1613en_UK
dc.identifier.urihttp://hdl.handle.net/1893/29848-
dc.description.abstractTo date, several algorithms for the retrieval of cyanobacterial phycocyanin (PC) from ocean colour sensors have been presented for inland waters, all of which claim to be robust models. To address this, we conducted a comprehensive comparison to identify the optimal algorithm for retrieval of PC concentrations in the highly optically complex waters of Lake Balaton (Hungary). MEdium Resolution Imaging Spectrometer (MERIS) top-of-atmosphere radiances were first atmospherically corrected using the Self-Contained Atmospheric Parameters Estimation for MERIS data v.B2 (SCAPE-M_B2). Overall, the Simis05 semi-analytical algorithm outperformed more complex inversion algorithms, providing accurate estimates of PC up to ±7 days from the time of satellite overpass during summer cyanobacteria blooms (RMSElog < 0.33). Same-day retrieval of PC also showed good agreement with cyanobacteria biomass (R2 > 0.66, p < 0.001). In-depth analysis of the Simis05 algorithm using in situ measurements of inherent optical properties (IOPs) revealed that the Simis05 model overestimated the phytoplankton absorption coefficient [aph(λ)] by a factor of ~2. However, these errors were compensated for by underestimation of the mass-specific chlorophyll absorption coefficient [a*chla(λ)]. This study reinforces the need for further validation of algorithms over a range of optical water types in the context of the recently launched Ocean Land Colour Instrument (OLCI) onboard Sentinel-3.en_UK
dc.language.isoenen_UK
dc.publisherMDPI AGen_UK
dc.relationRiddick CAL, Hunter PD, Gómez JAD, Martinez-Vicente V, Présing M, Horváth H, Kovács AW, Vörös L, Zsigmond E & Tyler AN (2019) Optimal Cyanobacterial Pigment Retrieval from Ocean Colour Sensors in a Highly Turbid, Optically Complex Lake. Remote Sensing, 11 (13), Art. No.: 1613. https://doi.org/10.3390/rs11131613en_UK
dc.rightsThis is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectcyanobacteriaen_UK
dc.subjectphycocyaninen_UK
dc.subjectMERISen_UK
dc.subjectSentinel-3en_UK
dc.subjectremote sensingen_UK
dc.subjectLake Balatonen_UK
dc.titleOptimal Cyanobacterial Pigment Retrieval from Ocean Colour Sensors in a Highly Turbid, Optically Complex Lakeen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.3390/rs11131613en_UK
dc.citation.jtitleRemote Sensingen_UK
dc.citation.issn2072-4292en_UK
dc.citation.volume11en_UK
dc.citation.issue13en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderNERC Airborne Research and Survey Facility (ARSF) and Field Spectroscopy Facilityen_UK
dc.contributor.funderNERC Airborne Research and Survey Facility (ARSF) and Field Spectroscopy Facilityen_UK
dc.contributor.funderCarnegie Trusten_UK
dc.contributor.funderUniversity of Stirlingen_UK
dc.author.emailcaitlin.riddick1@stir.ac.uken_UK
dc.citation.date07/07/2019en_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationCrop Research Institute, Pragueen_UK
dc.contributor.affiliationPlymouth Marine Laboratoryen_UK
dc.contributor.affiliationBalaton Limnological Instituteen_UK
dc.contributor.affiliationBalaton Limnological Instituteen_UK
dc.contributor.affiliationBalaton Limnological Instituteen_UK
dc.contributor.affiliationBalaton Limnological Instituteen_UK
dc.contributor.affiliationHungarian Academy of Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.identifier.isiWOS:000477049000104en_UK
dc.identifier.scopusid2-s2.0-85068529689en_UK
dc.identifier.wtid1408180en_UK
dc.contributor.orcid0000-0002-5694-2377en_UK
dc.contributor.orcid0000-0001-7269-795Xen_UK
dc.contributor.orcid0000-0003-0604-5827en_UK
dc.date.accepted2019-07-02en_UK
dcterms.dateAccepted2019-07-02en_UK
dc.date.filedepositdate2019-07-10en_UK
rioxxterms.apcpaiden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorRiddick, Caitlin A L|0000-0002-5694-2377en_UK
local.rioxx.authorHunter, Peter D|0000-0001-7269-795Xen_UK
local.rioxx.authorGómez, José Antonio Domínguez|en_UK
local.rioxx.authorMartinez-Vicente, Victor|en_UK
local.rioxx.authorPrésing, Mátyás|en_UK
local.rioxx.authorHorváth, Hajnalka|en_UK
local.rioxx.authorKovács, Attila W|en_UK
local.rioxx.authorVörös, Lajos|en_UK
local.rioxx.authorZsigmond, Eszter|en_UK
local.rioxx.authorTyler, Andrew N|0000-0003-0604-5827en_UK
local.rioxx.projectEU10-03|NERC Airborne Research and Survey Facility (ARSF) and Field Spectroscopy Facility|en_UK
local.rioxx.projectDivisional funding|NERC Airborne Research and Survey Facility (ARSF) and Field Spectroscopy Facility|en_UK
local.rioxx.projectTravel Fund|Carnegie Trust|en_UK
local.rioxx.projectResearch Apprenticeship|University of Stirling|en_UK
local.rioxx.freetoreaddate2019-07-10en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2019-07-10|en_UK
local.rioxx.filenameremotesensing-11-01613-v2.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2072-4292en_UK
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