Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/29848
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Optimal Cyanobacterial Pigment Retrieval from Ocean Colour Sensors in a Highly Turbid, Optically Complex Lake
Author(s): Riddick, Caitlin A L
Hunter, Peter D
Gómez, José Antonio Domínguez
Martinez-Vicente, Victor
Présing, Mátyás
Horváth, Hajnalka
Kovács, Attila W
Vörös, Lajos
Zsigmond, Eszter
Tyler, Andrew N
Contact Email: caitlin.riddick1@stir.ac.uk
Keywords: cyanobacteria
phycocyanin
MERIS
Sentinel-3
remote sensing
Lake Balaton
Issue Date: Jul-2019
Citation: Riddick 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/rs11131613
Abstract: 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 ±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.
DOI Link: 10.3390/rs11131613
Rights: This 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).
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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