Acoustic detection of a scallop bed from a single-beam echosounder in the St. Lawrence
Abstract Single-beam seabed echoes combined with epi-macrobenthos photographs were used to remotely detect a scallop bed and characterize the specific acoustic signal of Iceland scallop (Chlamys islandica). A dense scallop bed was surveyed in 2002, with a QTC VIEW Series IV acoustic ground-discrimin...
Published in: | ICES Journal of Marine Science |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Oxford University Press (OUP)
2005
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1016/j.icesjms.2005.03.007 http://academic.oup.com/icesjms/article-pdf/62/5/966/29151549/62-5-966.pdf |
id |
croxfordunivpr:10.1016/j.icesjms.2005.03.007 |
---|---|
record_format |
openpolar |
spelling |
croxfordunivpr:10.1016/j.icesjms.2005.03.007 2024-03-03T08:45:48+00:00 Acoustic detection of a scallop bed from a single-beam echosounder in the St. Lawrence Hutin, Estelle Simard, Yvan Archambault, Philippe 2005 http://dx.doi.org/10.1016/j.icesjms.2005.03.007 http://academic.oup.com/icesjms/article-pdf/62/5/966/29151549/62-5-966.pdf en eng Oxford University Press (OUP) ICES Journal of Marine Science volume 62, issue 5, page 966-983 ISSN 1095-9289 1054-3139 Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2005 croxfordunivpr https://doi.org/10.1016/j.icesjms.2005.03.007 2024-02-05T10:31:40Z Abstract Single-beam seabed echoes combined with epi-macrobenthos photographs were used to remotely detect a scallop bed and characterize the specific acoustic signal of Iceland scallop (Chlamys islandica). A dense scallop bed was surveyed in 2002, with a QTC VIEW Series IV acoustic ground-discrimination system (AGDS) connected to a 38 kHz, 7° split-beam SIMRAD EK60 scientific echosounder. In 2003, a 50 kHz, 42° single-beam SUZUKI ES-2025 echosounder was connected to a QTC VIEW Series V AGDS. The QTC VIEW data were analysed with QTC IMPACT following the standard procedures and classified into acoustic classes. Several approaches were tested: unsupervised and supervised survey strategies directed to specific benthic communities. The SIMRAD EK60 seabed volume-backscattering strength (Sv) was submitted to a principal component analysis (PCA), before and after removal of a depth trend, and the scores on the first 10 principal components were classed by a K-means cluster analysis. The same seabed Sv data were submitted to stepwise discriminant analysis whose training data sets were defined with the ground-truth photographs using different groupings: biotope types, community types, and finally scallop-density classes. All the QTC AGDS approaches failed to reveal the scallop bed, community structures, or biotopes. The QTC classifications mimicked the bathymetry with a strong correlation of the acoustic classes with depth. The seabed Sv PCA + K-means approach presented similar depth-dependence, but, the PCA + K-means on the Sv residuals revealed the scallop bed. The discriminant analysis was the best solution for the scallop density with a general classification success rate of 75% and up to 91% for the highest density class. The Sv signature of the scallop bed is presented, and the most discriminant part of the acoustic signal is identified. Article in Journal/Newspaper Iceland Oxford University Press ICES Journal of Marine Science 62 5 966 983 |
institution |
Open Polar |
collection |
Oxford University Press |
op_collection_id |
croxfordunivpr |
language |
English |
topic |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
spellingShingle |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography Hutin, Estelle Simard, Yvan Archambault, Philippe Acoustic detection of a scallop bed from a single-beam echosounder in the St. Lawrence |
topic_facet |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
description |
Abstract Single-beam seabed echoes combined with epi-macrobenthos photographs were used to remotely detect a scallop bed and characterize the specific acoustic signal of Iceland scallop (Chlamys islandica). A dense scallop bed was surveyed in 2002, with a QTC VIEW Series IV acoustic ground-discrimination system (AGDS) connected to a 38 kHz, 7° split-beam SIMRAD EK60 scientific echosounder. In 2003, a 50 kHz, 42° single-beam SUZUKI ES-2025 echosounder was connected to a QTC VIEW Series V AGDS. The QTC VIEW data were analysed with QTC IMPACT following the standard procedures and classified into acoustic classes. Several approaches were tested: unsupervised and supervised survey strategies directed to specific benthic communities. The SIMRAD EK60 seabed volume-backscattering strength (Sv) was submitted to a principal component analysis (PCA), before and after removal of a depth trend, and the scores on the first 10 principal components were classed by a K-means cluster analysis. The same seabed Sv data were submitted to stepwise discriminant analysis whose training data sets were defined with the ground-truth photographs using different groupings: biotope types, community types, and finally scallop-density classes. All the QTC AGDS approaches failed to reveal the scallop bed, community structures, or biotopes. The QTC classifications mimicked the bathymetry with a strong correlation of the acoustic classes with depth. The seabed Sv PCA + K-means approach presented similar depth-dependence, but, the PCA + K-means on the Sv residuals revealed the scallop bed. The discriminant analysis was the best solution for the scallop density with a general classification success rate of 75% and up to 91% for the highest density class. The Sv signature of the scallop bed is presented, and the most discriminant part of the acoustic signal is identified. |
format |
Article in Journal/Newspaper |
author |
Hutin, Estelle Simard, Yvan Archambault, Philippe |
author_facet |
Hutin, Estelle Simard, Yvan Archambault, Philippe |
author_sort |
Hutin, Estelle |
title |
Acoustic detection of a scallop bed from a single-beam echosounder in the St. Lawrence |
title_short |
Acoustic detection of a scallop bed from a single-beam echosounder in the St. Lawrence |
title_full |
Acoustic detection of a scallop bed from a single-beam echosounder in the St. Lawrence |
title_fullStr |
Acoustic detection of a scallop bed from a single-beam echosounder in the St. Lawrence |
title_full_unstemmed |
Acoustic detection of a scallop bed from a single-beam echosounder in the St. Lawrence |
title_sort |
acoustic detection of a scallop bed from a single-beam echosounder in the st. lawrence |
publisher |
Oxford University Press (OUP) |
publishDate |
2005 |
url |
http://dx.doi.org/10.1016/j.icesjms.2005.03.007 http://academic.oup.com/icesjms/article-pdf/62/5/966/29151549/62-5-966.pdf |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
ICES Journal of Marine Science volume 62, issue 5, page 966-983 ISSN 1095-9289 1054-3139 |
op_doi |
https://doi.org/10.1016/j.icesjms.2005.03.007 |
container_title |
ICES Journal of Marine Science |
container_volume |
62 |
container_issue |
5 |
container_start_page |
966 |
op_container_end_page |
983 |
_version_ |
1792501455632990208 |