Journal article
Side-Scan Sonar Imaging of Subtidal Benthic Habitats in the Mullica River–Great Bay Estuarine System
Journal of coastal research, v 2009(10045), pp 227-240
01 Sep 2004
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Side-scan sonar imaging conducted in Great Bay, New Jersey, during August 2003 reveals local variations in acoustic backscatter from the seabed that can be related to small-, medium-, and large-scale bedforms. Analysis of 600-kilohertz side-scan sonar data collected at a System-Wide Monitoring Program (SWMP) survey site of the Jacques Cousteau National Estuarine Research Reserve shows a relationship between backscatter intensity, bathymetry, and changing seabed morphology. Side-scan sonar records obtained at the survey site in Great Bay via deployment of an autonomous underwater vehicle (Remote Environmental Monitoring UnitS) provide in-depth characterization of an array of complex and multiscaled bedforms and associated benthic habitats. Bedforms documented within the swath map region by side-scan sonar imaging include constructive transverse forms, notably ripples, dunes, and sand waves. These bedforms are valuable for assessing potentially important habitats for benthic invertebrate and demersal finfish populations.
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Details
- Title
- Side-Scan Sonar Imaging of Subtidal Benthic Habitats in the Mullica River–Great Bay Estuarine System
- Creators
- Michael J. Kennish - Rutgers, The State University of New JerseyScott M. Haag - Rutgers, The State University of New JerseyGregg P. Sakowicz - Institute of Marine and Coastal ResearchRichard A. Tidd - Institute of Marine and Coastal Research
- Publication Details
- Journal of coastal research, v 2009(10045), pp 227-240
- Publisher
- Coastal Education and Research Foundation
- Number of pages
- 14
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Web of Science ID
- WOS:000225944600016
- Scopus ID
- 2-s2.0-11244333644
- Other Identifier
- 991021862308204721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Environmental Sciences
- Geography, Physical
- Geosciences, Multidisciplinary