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Shallow water seagrass survey at Studland Bay with the AUV Smarty200

Shallow water seagrass survey at Studland Bay with the AUV Smarty200
Shallow water seagrass survey at Studland Bay with the AUV Smarty200
This paper presents the results of an autonomous seafloor imaging survey to map the distribution of seagrass around 10 eco-moorings installed to protect seagrass meadows in the Studland Bay Marine Conservation Zone (MCZ). The survey was carried out using the University of Southampton's Smarty200 Autonomous Underwater Vehicle (AUV) in July 2022. Approximately 10,000 stereo image pairs were gathered from an altitude of 1 m along transects totaling 2.95 km. Images were classified according to the density of seagrass using a location-regularised semi-supervised deep-learning method developed at the University of Southampton. Three hundred expert-labelled images were used to train the classifier and the accuracy of the results were evaluated on a separate set of two hundred expert-labelled images. The results show the detailed distribution of habitats at the site and qualitative comparisons with high-resolution satellite imagery are made.
Autonomous Underwater Vehicle (AUV), Machine Learning, Seafloor Imaging, Seagrass
IEEE
Massot-Campos, Miquel
a55d7b32-c097-4adf-9483-16bbf07f9120
Yamada, Takaki
81c66c35-0e2b-4342-80fa-cbee6ff9ce5f
Walker-Rouse, Bronwyn
21de2c6f-fb0a-4b25-a77d-074df2715658
Collins, Ken
9c436eb8-add5-460e-9900-5d1d128dc63d
Leyland, Julian
6b1bb9b9-f3d5-4f40-8dd3-232139510e15
Kassem, Hachem
658efa7a-a02c-4b29-9d07-5d57e95a4b51
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9
Massot-Campos, Miquel
a55d7b32-c097-4adf-9483-16bbf07f9120
Yamada, Takaki
81c66c35-0e2b-4342-80fa-cbee6ff9ce5f
Walker-Rouse, Bronwyn
21de2c6f-fb0a-4b25-a77d-074df2715658
Collins, Ken
9c436eb8-add5-460e-9900-5d1d128dc63d
Leyland, Julian
6b1bb9b9-f3d5-4f40-8dd3-232139510e15
Kassem, Hachem
658efa7a-a02c-4b29-9d07-5d57e95a4b51
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9

Massot-Campos, Miquel, Yamada, Takaki, Walker-Rouse, Bronwyn, Collins, Ken, Leyland, Julian, Kassem, Hachem and Thornton, Blair (2023) Shallow water seagrass survey at Studland Bay with the AUV Smarty200. In 2023 IEEE International Symposium on Underwater Technology, UT 2023. IEEE. 5 pp . (doi:10.1109/UT49729.2023.10103389).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents the results of an autonomous seafloor imaging survey to map the distribution of seagrass around 10 eco-moorings installed to protect seagrass meadows in the Studland Bay Marine Conservation Zone (MCZ). The survey was carried out using the University of Southampton's Smarty200 Autonomous Underwater Vehicle (AUV) in July 2022. Approximately 10,000 stereo image pairs were gathered from an altitude of 1 m along transects totaling 2.95 km. Images were classified according to the density of seagrass using a location-regularised semi-supervised deep-learning method developed at the University of Southampton. Three hundred expert-labelled images were used to train the classifier and the accuracy of the results were evaluated on a separate set of two hundred expert-labelled images. The results show the detailed distribution of habitats at the site and qualitative comparisons with high-resolution satellite imagery are made.

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More information

e-pub ahead of print date: 6 March 2023
Published date: 6 March 2023
Additional Information: Funding Information: This research has received support from the the UK Engineering and Physical Science Research Council
Venue - Dates: 2023 IEEE International Symposium on Underwater Technology, UT 2023, , Tokyo, Japan, 2023-03-06 - 2023-03-09
Keywords: Autonomous Underwater Vehicle (AUV), Machine Learning, Seafloor Imaging, Seagrass

Identifiers

Local EPrints ID: 473779
URI: http://eprints.soton.ac.uk/id/eprint/473779
DOI: doi:10.1109/UT49729.2023.10103389
PURE UUID: 5105f74a-cccc-422d-9e44-db8fe84c5ec9
ORCID for Miquel Massot-Campos: ORCID iD orcid.org/0000-0002-1202-0362
ORCID for Takaki Yamada: ORCID iD orcid.org/0000-0002-5090-7239
ORCID for Julian Leyland: ORCID iD orcid.org/0000-0002-3419-9949
ORCID for Hachem Kassem: ORCID iD orcid.org/0000-0002-5936-6037

Catalogue record

Date deposited: 31 Jan 2023 17:44
Last modified: 18 Mar 2024 03:50

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Contributors

Author: Miquel Massot-Campos ORCID iD
Author: Takaki Yamada ORCID iD
Author: Bronwyn Walker-Rouse
Author: Ken Collins
Author: Julian Leyland ORCID iD
Author: Hachem Kassem ORCID iD
Author: Blair Thornton

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