Biological data extraction from imagery - how far can we go? A case study from the Mid-Atlantic Ridge

Cuvelier, Daphne, de Busserolles, Fanny, Lavaud, Romain, Floc'h, Estelle, Fabri, Marie-Claire, Sarradin, Pierre-Marie and Sarrazin, Jozee (2012) Biological data extraction from imagery - how far can we go? A case study from the Mid-Atlantic Ridge. Marine Environmental Research, 82 15-27. doi:10.1016/j.marenvres.2012.09.001


Author Cuvelier, Daphne
de Busserolles, Fanny
Lavaud, Romain
Floc'h, Estelle
Fabri, Marie-Claire
Sarradin, Pierre-Marie
Sarrazin, Jozee
Title Biological data extraction from imagery - how far can we go? A case study from the Mid-Atlantic Ridge
Journal name Marine Environmental Research   Check publisher's open access policy
ISSN 0141-1136
1879-0291
Publication date 2012-12
Year available 2012
Sub-type Article (original research)
DOI 10.1016/j.marenvres.2012.09.001
Open Access Status Not yet assessed
Volume 82
Start page 15
End page 27
Total pages 13
Place of publication London, United Kingdom
Publisher Elsevier
Language eng
Formatted abstract
In the past few decades, hydrothermal vent research has progressed immensely, resulting in higher-quality samples and long-term studies. With time, scientists are becoming more aware of the impacts of sampling on the faunal communities and are looking for less invasive ways to investigate the vent ecosystems. In this perspective, imagery analysis plays a very important role. With this study, we test which factors can be quantitatively and accurately assessed based on imagery, through comparison with faunal sampling. Twelve instrumented chains were deployed on the Atlantic Eiffel Tower hydrothermal edifice and the corresponding study sites were subsequently sampled. Discrete, quantitative samples were compared to the imagery recorded during the experiment. An observer-effect was tested, by comparing imagery data gathered by different scientists. Most factors based on image analyses concerning Bathymodiolus azoricus mussels were shown to be valid representations of the corresponding samples. Additional ecological assets, based exclusively on imagery, were included.
Keyword Benthic ecology
Data processing
Deep ocean
Hydrothermal vents
Image analyses
Mid-Atlantic Ridge
Taxonomic diversity
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Medicine Publications
 
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