POSTER Session 2

TOWARDS A BETTER CHARACTERIZATION OF CARBON IN CONTINENTAL SHELF SEAS USING AUTONOMOUS SHIP-BASED FLOW-THROUGH MEASUREMENTS OF HYPERSPECTRAL APPARENT AND INHERENT OPTICAL PROPERTIES

Continental sea shelves play a crucial but poorly quantified role in the global ocean carbon cycle. Over the past decade, algorithms have been developed to estimate biogeochemical parameters in coastal shelf seas using optical data from satellite sensors and in situ devices. However, optical remote sensing in coastal shelf seas remains challenging due to the diverse contributions of water constituents to the optical signals, including particulate organic and inorganic carbon, resuspended sediments, detrital particles, and dissolved carbon forms. Here we explore potential improvements in the retrieval of carbon variables using hyperspectral optical sensors. We suggest a two-step approach consisting of a classification of natural marine particle assemblages based on their bulk optical properties, followed by application of class-specific optical carbon retrieval algorithms. Our approach is illustrated using data collected with a ship-based autonomous flow-through system aboard RV Simon Stevin for the measurement of hyperspectral apparent and inherent optical properties in the North Sea. Furthermore, in situ algorithms are redesigned to account for sensor specifications of current hyperspectral sensors such as PRISMA, EnMAP, and PACE.

Clemence Goyens, MarSens, University Ghent, Belgium, https://orcid.org/0000-0002-8036-6082

Andrea van Langen Roson, MarSens (Ghent University), VLIZ, Belgium

Griet Neukermans, MarSens (Ghent University), VLIZ, Belgium, https://orcid.org/0000-0002-8258-3590

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