Estimating surface concentrations of Calanus finmarchicus using standardised satellite-derived enhanced RGB imagery

• Published in: Remote Sensing
• Main Authors: McCarry, Cait, Basedow, Sünnje L., Davies, Emlyn J., McKee, David
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: 2023
• Subjects: Physics; Mathematics; Aquaculture. Fisheries. Angling; Norwegian Sea; Calanus finmarchicus; North Atlantic
• Online Access: https://strathprints.strath.ac.uk/85721/; https://strathprints.strath.ac.uk/85721/2/McCarry_etal_RS2023_Estimating_surface_concentrations_Calanus_finmarchicus_using_standardised_satellite_derived_enhanced_RGB_imagery.pdf; https://doi.org/10.3390/rs15122987

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.