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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ftdoajarticles:oai:doaj.org/article:d86d8fca6853418aa1a5347392ed3609 2023-07-23T04:18:40+02:00 Estimating Surface Concentrations of Calanus finmarchicus Using Standardised Satellite-Derived Enhanced RGB Imagery Cait L. McCarry Sünnje L. Basedow Emlyn J. Davies David McKee 2023-06-01T00:00:00Z https://doi.org/10.3390/rs15122987 https://doaj.org/article/d86d8fca6853418aa1a5347392ed3609 EN eng MDPI AG https://www.mdpi.com/2072-4292/15/12/2987 https://doaj.org/toc/2072-4292 doi:10.3390/rs15122987 2072-4292 https://doaj.org/article/d86d8fca6853418aa1a5347392ed3609 Remote Sensing, Vol 15, Iss 2987, p 2987 (2023) Calanus finmarchicus zooplankton remote sensing ocean colour Norwegian Sea Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15122987 2023-07-02T00:37:11Z 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 Directory of Open Access Journals: DOAJ Articles Norwegian Sea Remote Sensing 15 12 2987 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Calanus finmarchicus zooplankton remote sensing ocean colour Norwegian Sea Science Q |
spellingShingle |
Calanus finmarchicus zooplankton remote sensing ocean colour Norwegian Sea Science Q Cait L. McCarry Sünnje L. Basedow Emlyn J. Davies David McKee Estimating Surface Concentrations of Calanus finmarchicus Using Standardised Satellite-Derived Enhanced RGB Imagery |
topic_facet |
Calanus finmarchicus zooplankton remote sensing ocean colour Norwegian Sea Science Q |
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 |
Cait L. McCarry Sünnje L. Basedow Emlyn J. Davies David McKee |
author_facet |
Cait L. McCarry Sünnje L. Basedow Emlyn J. Davies David McKee |
author_sort |
Cait L. McCarry |
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 AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15122987 https://doaj.org/article/d86d8fca6853418aa1a5347392ed3609 |
geographic |
Norwegian Sea |
geographic_facet |
Norwegian Sea |
genre |
Calanus finmarchicus North Atlantic Norwegian Sea |
genre_facet |
Calanus finmarchicus North Atlantic Norwegian Sea |
op_source |
Remote Sensing, Vol 15, Iss 2987, p 2987 (2023) |
op_relation |
https://www.mdpi.com/2072-4292/15/12/2987 https://doaj.org/toc/2072-4292 doi:10.3390/rs15122987 2072-4292 https://doaj.org/article/d86d8fca6853418aa1a5347392ed3609 |
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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1772181139638714368 |