Quantifying Area Back Scatter of Marine Organisms in the Arctic Ocean by Machine Learning-Based Post-Processing of Volume Back Scatter

Quantifying Area Back Scatter of Marine Organisms in the Arctic Ocean by Machine Learning-Based Post-Processing of Volume Back Scatter

As the sea ice reduces in both extent and thickness and the Arctic Ocean opens, there is substantial interest in mapping the marine ecosystem in this remote and until now largely inaccessible ocean. We used the <i>R/V Kronprins Haakon</i> during surveys in the Central Arctic Ocean (CAO)...

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Bibliographic Details
Main Authors: Ole Arve Misund, Anna Nikolopoulos, Vegard Stürzinger, Haakon Hop, Paul Dodd, Rolf J. Korneliussen
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
acoustic backscatter
LSSS
zooplankton classification
icebreaking noise removal
post-processing
Central Arctic Ocean
Online Access:https://www.mdpi.com/1424-8220/25/10/3121
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