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ICES Journal of Marine Science: Journal du Conseil Advance Access originally published online on February 21, 2009
ICES Journal of Marine Science: Journal du Conseil 2009 66(6):1023-1028; doi:10.1093/icesjms/fsp026
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© United States Government, Department of Commerce, National Oceanic and Atmospheric Administration 2009

This article appears in the following ICES Journal of Marine Science issue: The Ecosystem Approach with Fisheries Acoustics and Complementary Technologies [View the issue table of contents]

Comparison of data-processing algorithms for the lidar detection of mackerel in the Norwegian Sea

James H. Churnside1, Eirik Tenningen2 and James J. Wilson1

1 NOAA Earth System Research Laboratory CSD3, 325 Broadway, Boulder, CO 80305, USA
2 Institute of Marine Research, Nordnesgaten 50, PO Box 1870, Nordnes, 5817 Bergen, Norway

Correspondence to J. H. Churnside: tel: +1 303 497 6744; fax: +1 303 497 5318; e-mail: james.h.churnside{at}noaa.gov

Churnside, J. H., Tenningen, E., and Wilson, J. J. 2009. Comparison of data-processing algorithms for the lidar detection of mackerel in the Norwegian Sea. – ICES Journal of Marine Science, 66: 1023–1028.

A broad-scale lidar survey was conducted in the Norwegian Sea in summer 2002. Since then, various data-processing techniques have been developed, including manual identification of fish schools, multiscale median filtering, and curve fitting of the lidar profiles. In the automated techniques, applying a threshold to the data, as carrried out already to eliminate plankton scattering, has been demonstrated previously to improve the correlation between lidar and acoustic data. We applied these techniques to the lidar data of the 2002 survey and compared the results with those of a mackerel (Scomber scombrus) survey done by FV "Endre Dyrøy" and FV "Trønderbas" during the same period. Despite a high level of variability in both lidar and trawl data, the broad-scale distribution of fish inferred from the lidar agreed with that of mackerel caught by the FV "Endre Dyrøy". This agreement was obtained using both manual and automated processing of the lidar data. This work is the first comparison of concurrent lidar and trawl surveys, and it demonstrates the utility of airborne lidar for mackerel studies.

Keywords: fisheries, lidar, mackerel, Norwegian Sea, remote sensing

Received 6 August 2008; accepted 3 December 2008; advance access publication 21 February 2009.


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