An automatic and quantitative approach to the detection and tracking of acoustic scattering layers

Acoustic scattering layers are ubiquitous, horizontally extensive aggregations of both vertebrate and invertebrate organisms that play key roles in oceanic ecosystems. However, currently there are no conventions or widely adaptable automatic methods for identifying these often dynamic, spatially com...

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Bibliographic Details
Main Authors: Cade, David E., Benoit-Bird, Kelly J.
Format: Article in Journal/Newspaper
Language:English
unknown
Published: American Society of Limnology and Oceanography, Inc.
Subjects:
Online Access:https://ir.library.oregonstate.edu/concern/articles/zp38wf42f
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spelling ftoregonstate:ir.library.oregonstate.edu:zp38wf42f 2024-09-15T17:59:39+00:00 An automatic and quantitative approach to the detection and tracking of acoustic scattering layers Cade, David E. Benoit-Bird, Kelly J. https://ir.library.oregonstate.edu/concern/articles/zp38wf42f English [eng] eng unknown American Society of Limnology and Oceanography, Inc. https://ir.library.oregonstate.edu/concern/articles/zp38wf42f Copyright Not Evaluated Article ftoregonstate 2024-07-22T18:06:03Z Acoustic scattering layers are ubiquitous, horizontally extensive aggregations of both vertebrate and invertebrate organisms that play key roles in oceanic ecosystems. However, currently there are no conventions or widely adaptable automatic methods for identifying these often dynamic, spatially complex features, so it is difficult to consistently and efficiently describe and compare results. We developed an automatic scattering layer detection method that can be used to monitor changes in layer depth, width, and internal structure over time. Extensive, contiguous regions of the water column that have echo strengths above a threshold were identified as “background layers.” They correspond to regions of the water column that contain scattering from diffusely distributed organisms. Often, background layers contained contiguous, horizontally extensive features of concentrated acoustic scattering we identified as “strata.” These features were identified by fitting Gaussian curves to the echo envelope of each vertical profile of scattering, and their boundaries were identified as the endpoints of the region containing 95% of the area under the fitted curves. These endpoints were linked horizontally to make continuous tracks. Bottom and top tracks were paired to identify features that sometimes extended horizontally for tens of kilometers. This approach was effective in three disparate ecosystems (the Gulf of California, Monterey Bay, and the Bering Sea), and a sensitivity analysis showed its robustness to changes in input parameters. By allowing a comparable, automated approach to be used across environments, this method promotes the improved classification and characterization of acoustic scattering layers necessary for examining their role in oceanic ecosystems. This is the publisher’s final pdf. The published article is copyrighted by the American Society of Limnology and Oceanography, Inc. and can be found at: http://www.aslo.org/lomethods/. Article in Journal/Newspaper Bering Sea ScholarsArchive@OSU (Oregon State University)
institution Open Polar
collection ScholarsArchive@OSU (Oregon State University)
op_collection_id ftoregonstate
language English
unknown
description Acoustic scattering layers are ubiquitous, horizontally extensive aggregations of both vertebrate and invertebrate organisms that play key roles in oceanic ecosystems. However, currently there are no conventions or widely adaptable automatic methods for identifying these often dynamic, spatially complex features, so it is difficult to consistently and efficiently describe and compare results. We developed an automatic scattering layer detection method that can be used to monitor changes in layer depth, width, and internal structure over time. Extensive, contiguous regions of the water column that have echo strengths above a threshold were identified as “background layers.” They correspond to regions of the water column that contain scattering from diffusely distributed organisms. Often, background layers contained contiguous, horizontally extensive features of concentrated acoustic scattering we identified as “strata.” These features were identified by fitting Gaussian curves to the echo envelope of each vertical profile of scattering, and their boundaries were identified as the endpoints of the region containing 95% of the area under the fitted curves. These endpoints were linked horizontally to make continuous tracks. Bottom and top tracks were paired to identify features that sometimes extended horizontally for tens of kilometers. This approach was effective in three disparate ecosystems (the Gulf of California, Monterey Bay, and the Bering Sea), and a sensitivity analysis showed its robustness to changes in input parameters. By allowing a comparable, automated approach to be used across environments, this method promotes the improved classification and characterization of acoustic scattering layers necessary for examining their role in oceanic ecosystems. This is the publisher’s final pdf. The published article is copyrighted by the American Society of Limnology and Oceanography, Inc. and can be found at: http://www.aslo.org/lomethods/.
format Article in Journal/Newspaper
author Cade, David E.
Benoit-Bird, Kelly J.
spellingShingle Cade, David E.
Benoit-Bird, Kelly J.
An automatic and quantitative approach to the detection and tracking of acoustic scattering layers
author_facet Cade, David E.
Benoit-Bird, Kelly J.
author_sort Cade, David E.
title An automatic and quantitative approach to the detection and tracking of acoustic scattering layers
title_short An automatic and quantitative approach to the detection and tracking of acoustic scattering layers
title_full An automatic and quantitative approach to the detection and tracking of acoustic scattering layers
title_fullStr An automatic and quantitative approach to the detection and tracking of acoustic scattering layers
title_full_unstemmed An automatic and quantitative approach to the detection and tracking of acoustic scattering layers
title_sort automatic and quantitative approach to the detection and tracking of acoustic scattering layers
publisher American Society of Limnology and Oceanography, Inc.
url https://ir.library.oregonstate.edu/concern/articles/zp38wf42f
genre Bering Sea
genre_facet Bering Sea
op_relation https://ir.library.oregonstate.edu/concern/articles/zp38wf42f
op_rights Copyright Not Evaluated
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