{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T06:28:52Z","timestamp":1773901732974,"version":"3.50.1"},"reference-count":93,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2019,7,7]],"date-time":"2019-07-07T00:00:00Z","timestamp":1562457600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NERC Airborne Research and Survey Facility (ARSF) and Field Spectroscopy Facility (FSF)","award":["EU10-03"],"award-info":[{"award-number":["EU10-03"]}]},{"name":"T\u00c1MOP","award":["4.2.2.A-11\/1\/KONV-2012-0038"],"award-info":[{"award-number":["4.2.2.A-11\/1\/KONV-2012-0038"]}]},{"DOI":"10.13039\/501100002326","name":"University of Stirling","doi-asserted-by":"publisher","award":["Research Apprenticeship"],"award-info":[{"award-number":["Research Apprenticeship"]}],"id":[{"id":"10.13039\/501100002326","id-type":"DOI","asserted-by":"publisher"}]},{"name":"University of Stirling, Biological and Environmental Sciences","award":["Divisional funding"],"award-info":[{"award-number":["Divisional funding"]}]},{"name":"Carnegie Trust","award":["Travel Fund"],"award-info":[{"award-number":["Travel Fund"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>To 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 \u00b17 days from the time of satellite overpass during summer cyanobacteria blooms (RMSElog &lt; 0.33). Same-day retrieval of PC also showed good agreement with cyanobacteria biomass (R2 &gt; 0.66, p &lt; 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(\u03bb)] by a factor of ~2. However, these errors were compensated for by underestimation of the mass-specific chlorophyll absorption coefficient [a*chla(\u03bb)]. 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.<\/jats:p>","DOI":"10.3390\/rs11131613","type":"journal-article","created":{"date-parts":[[2019,7,8]],"date-time":"2019-07-08T03:01:31Z","timestamp":1562554891000},"page":"1613","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Optimal Cyanobacterial Pigment Retrieval from Ocean Colour Sensors in a Highly Turbid, Optically Complex Lake"],"prefix":"10.3390","volume":"11","author":[{"given":"Caitlin A.L.","family":"Riddick","sequence":"first","affiliation":[{"name":"Biological and Environmental Science, School of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK"}]},{"given":"Peter D.","family":"Hunter","sequence":"additional","affiliation":[{"name":"Biological and Environmental Science, School of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK"}]},{"given":"Jos\u00e9 Antonio","family":"Dom\u00ednguez G\u00f3mez","sequence":"additional","affiliation":[{"name":"Crop Research Institute, 161 06 Prague, Czech Republic"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3492-583X","authenticated-orcid":false,"given":"Victor","family":"Martinez-Vicente","sequence":"additional","affiliation":[{"name":"Remote Sensing Group, Plymouth Marine Laboratory, Plymouth PL1 3DH, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5694-2377","authenticated-orcid":false,"given":"M\u00e1ty\u00e1s","family":"Pr\u00e9sing","sequence":"additional","affiliation":[{"name":"Balaton Limnological Institute, MTA Centre for Ecological Research, 8237 Tihany, Hungary"}]},{"given":"Hajnalka","family":"Horv\u00e1th","sequence":"additional","affiliation":[{"name":"Balaton Limnological Institute, MTA Centre for Ecological Research, 8237 Tihany, Hungary"}]},{"given":"Attila W.","family":"Kov\u00e1cs","sequence":"additional","affiliation":[{"name":"Balaton Limnological Institute, MTA Centre for Ecological Research, 8237 Tihany, Hungary"}]},{"given":"Lajos","family":"V\u00f6r\u00f6s","sequence":"additional","affiliation":[{"name":"Balaton Limnological Institute, MTA Centre for Ecological Research, 8237 Tihany, Hungary"}]},{"given":"Eszter","family":"Zsigmond","sequence":"additional","affiliation":[{"name":"Institute of Genetics, Biological Research Centre Hungarian Academy of Sciences, 6726 Szeged, Hungary"}]},{"given":"Andrew N.","family":"Tyler","sequence":"additional","affiliation":[{"name":"Biological and Environmental Science, School of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK"}]}],"member":"1968","published-online":{"date-parts":[[2019,7,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"6396","DOI":"10.1002\/2014GL060641","article-title":"A global inventory of lakes based on high-resolution satellite imagery","volume":"41","author":"Verpoorter","year":"2014","journal-title":"Geophys. 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