Estimating Surface Concentrations of Calanus finmarchicus Using Standardised Satellite-Derived Enhanced RGB Imagery

Calanus finmarchicus is a keystone zooplankton species that is commercially harvested and is critical in sustaining many important fisheries in the North Atlantic. However, due to their patchy population distributions, they are notoriously difficult to map using traditional ship-based techniques. Th...

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Published in:Remote Sensing
Main Authors: McCarry, Cait L., Basedow, Sünnje Linnéa, Davies, Emlyn John, McKee, David
Format: Article in Journal/Newspaper
Language:English
Published: MDPI 2023
Subjects:
Online Access:https://hdl.handle.net/10037/30774
https://doi.org/10.3390/rs15122987
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/30774 2023-10-09T21:50:28+02:00 Estimating Surface Concentrations of Calanus finmarchicus Using Standardised Satellite-Derived Enhanced RGB Imagery McCarry, Cait L. Basedow, Sünnje Linnéa Davies, Emlyn John McKee, David 2023-06-08 https://hdl.handle.net/10037/30774 https://doi.org/10.3390/rs15122987 eng eng MDPI Remote Sensing McCarry, Basedow, Davies, McKee. Estimating Surface Concentrations of Calanus finmarchicus Using Standardised Satellite-Derived Enhanced RGB Imagery. Remote Sensing. 2023;15(12) FRIDAID 2153377 doi:10.3390/rs15122987 2072-4292 https://hdl.handle.net/10037/30774 Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2023 The Author(s) https://creativecommons.org/licenses/by/4.0 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2023 ftunivtroemsoe https://doi.org/10.3390/rs15122987 2023-09-13T23:07:42Z Calanus finmarchicus is a keystone zooplankton species that is commercially harvested and is critical in sustaining many important fisheries in the North Atlantic. However, due to their patchy population distributions, they are notoriously difficult to map using traditional ship-based techniques. This study involves the use of a combined approach of standardized ocean colour imagery and radiative transfer modelling to identify reflectance anomalies potentially caused by surface swarms of C. finmarchicus in the northern Norwegian Sea. Here, we have standardized satellite eRGB imagery that depicts a distinct ‘red’ patch, which coincides with in situ measurements of high surface concentrations of C. finmarchicus. Anomaly mapping using a novel colour matching technique shows a high degree of anomaly within this patch compared to the surrounding waters, indicating the presence of something other than the standard bio-optical model constituents influencing the optics of the water column. Optical closure between modelled and satellite-derived reflectance signals is achieved (and the anomaly is significantly reduced) through the addition of C. finmarchicus absorption into the model. Estimations of the surface concentrations of C. finmarchicus suggest between 80,000 and 150,000 individuals m −3 within the extent of the identified red patch. Furthermore, analysis of the impact of C. finmarchicus absorption on the OC3M algorithm performance points to the potential for the algorithm to over-estimate chlorophyll concentrations if C. finmarchicus populations are present in the surface waters. Article in Journal/Newspaper Calanus finmarchicus North Atlantic Norwegian Sea University of Tromsø: Munin Open Research Archive Norwegian Sea Remote Sensing 15 12 2987
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
description Calanus finmarchicus is a keystone zooplankton species that is commercially harvested and is critical in sustaining many important fisheries in the North Atlantic. However, due to their patchy population distributions, they are notoriously difficult to map using traditional ship-based techniques. This study involves the use of a combined approach of standardized ocean colour imagery and radiative transfer modelling to identify reflectance anomalies potentially caused by surface swarms of C. finmarchicus in the northern Norwegian Sea. Here, we have standardized satellite eRGB imagery that depicts a distinct ‘red’ patch, which coincides with in situ measurements of high surface concentrations of C. finmarchicus. Anomaly mapping using a novel colour matching technique shows a high degree of anomaly within this patch compared to the surrounding waters, indicating the presence of something other than the standard bio-optical model constituents influencing the optics of the water column. Optical closure between modelled and satellite-derived reflectance signals is achieved (and the anomaly is significantly reduced) through the addition of C. finmarchicus absorption into the model. Estimations of the surface concentrations of C. finmarchicus suggest between 80,000 and 150,000 individuals m −3 within the extent of the identified red patch. Furthermore, analysis of the impact of C. finmarchicus absorption on the OC3M algorithm performance points to the potential for the algorithm to over-estimate chlorophyll concentrations if C. finmarchicus populations are present in the surface waters.
format Article in Journal/Newspaper
author McCarry, Cait L.
Basedow, Sünnje Linnéa
Davies, Emlyn John
McKee, David
spellingShingle McCarry, Cait L.
Basedow, Sünnje Linnéa
Davies, Emlyn John
McKee, David
Estimating Surface Concentrations of Calanus finmarchicus Using Standardised Satellite-Derived Enhanced RGB Imagery
author_facet McCarry, Cait L.
Basedow, Sünnje Linnéa
Davies, Emlyn John
McKee, David
author_sort McCarry, Cait L.
title Estimating Surface Concentrations of Calanus finmarchicus Using Standardised Satellite-Derived Enhanced RGB Imagery
title_short Estimating Surface Concentrations of Calanus finmarchicus Using Standardised Satellite-Derived Enhanced RGB Imagery
title_full Estimating Surface Concentrations of Calanus finmarchicus Using Standardised Satellite-Derived Enhanced RGB Imagery
title_fullStr Estimating Surface Concentrations of Calanus finmarchicus Using Standardised Satellite-Derived Enhanced RGB Imagery
title_full_unstemmed Estimating Surface Concentrations of Calanus finmarchicus Using Standardised Satellite-Derived Enhanced RGB Imagery
title_sort estimating surface concentrations of calanus finmarchicus using standardised satellite-derived enhanced rgb imagery
publisher MDPI
publishDate 2023
url https://hdl.handle.net/10037/30774
https://doi.org/10.3390/rs15122987
geographic Norwegian Sea
geographic_facet Norwegian Sea
genre Calanus finmarchicus
North Atlantic
Norwegian Sea
genre_facet Calanus finmarchicus
North Atlantic
Norwegian Sea
op_relation Remote Sensing
McCarry, Basedow, Davies, McKee. Estimating Surface Concentrations of Calanus finmarchicus Using Standardised Satellite-Derived Enhanced RGB Imagery. Remote Sensing. 2023;15(12)
FRIDAID 2153377
doi:10.3390/rs15122987
2072-4292
https://hdl.handle.net/10037/30774
op_rights Attribution 4.0 International (CC BY 4.0)
openAccess
Copyright 2023 The Author(s)
https://creativecommons.org/licenses/by/4.0
op_doi https://doi.org/10.3390/rs15122987
container_title Remote Sensing
container_volume 15
container_issue 12
container_start_page 2987
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