JNCC Report No. 641 Optimisation of Benthic Image Analysis Approaches Moore, J., van Rein, H., Benson, A., Sotheran, I., Mercer, T. & Ferguson, M. December 2019 © JNCC, Peterborough 2019 ISSN 0963-8091 For further information please contact: Marine Monitoring and Evidence (
[email protected]) Joint Nature Conservation Committee, Monkstone House City Road, Peterborough, PE1 1JY www.jncc.defra.gov.uk Recommended 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. EQA: This report is compliant with the JNCC Evidence Quality Assurance Policy http://jncc.Defra.gov.uk/default.aspx?page=6675. Acknowledgements The authors would like to thank the following imagery analysts for their annotation and comments on the extraction methods: Alison Benson, Envision, Hexham; Ian Sotheran, Envision, Hexham; Eloise Boblin, Envision, Hexham; Ellen Barrowclift, Envision, Hexham; Lucy Cross, Envision, Hexham; Tom Mercer, ASML, Frosterley, Co. Durham. Data analysis was led by Jon Moore, ASML, Cosheston, Pembrokeshire, and supported by Henk van Rein, JNCC, Peterborough. Finally, we thank Stefano Marra, JNCC, Peterborough, for his contribution in reviewing the report. This work was funded by DEFRA Project FI009 Marine Methodologies. Summary 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. The imagery used in the study was collected from the Solan Bank Reef Special Area of Conservation in 2013. This study makes use of 100 high-resolution still images dominated by faunal crusts and turfs, encrusting sponges, hydroids, cup corals, serpulid worms and brittlestars to represent a high-density, high-diversity circalittoral bedrock reef community.