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Optimisation of Benthic Image Analysis Approaches 2019

Marine JNCC Publications 0963-8091 Evidence Habitats JNCC report series Marine Marine Habitats Monitoring Surveillance and Monitoring 641 Drop camera still and video imagery Towed video Video Tows

Abstract

Benthic imagery, in the form of still images and video, is often used as an efficient, effective and non-destructive way to describe and illustrate seabed communities dominated by epibiota (particularly rocky reefs, biogenic reefs and seagrass beds). National and international legislation requires assessment and reporting on the condition of these communities and associated habitats (Hinchen 2014), so monitoring programmes are being developed, often using imagery methods.

This study aims to further understand how the most commonly used data extraction methods for still imagery perform when compared against each other. More specifically to recommend the optimum non-automated data extraction approach for benthic imagery acquired from marine benthic habitats by drop-down, towed camera systems.

Resource type Publication

Topic category Environment

Reference date 2019·12·01

Citation
Moore, J., van Rein, H., Benson, A., Sotheran, I., Mercer, T. & Ferguson, M. (2019). Optimisation of Benthic Image Analysis Approaches, JNCC Report, No. 641, JNCC, Peterborough, ISSN 0963-8091.

Lineage
This study explores the relative strengths and weaknesses of different data extraction methods for enumerating marine benthic taxa from still imagery collected by drop frame cameras.

Responsible organisation
Communications, JNCC publisher

Limitations on public access No limitations

Use constraints Available under the Open Government Licence 3.0

Metadata date 2019·12·19

Metadata point of contact
Communications, JNCC

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