dc.contributor.author | Althaus, Franziska | |
dc.contributor.author | Hill, Nicole | |
dc.contributor.author | Ferrari, Renata | |
dc.contributor.author | Edwards, Luke | |
dc.contributor.author | Przeslawski, Rachel | |
dc.contributor.author | Schönberg, Christine H. L. | |
dc.contributor.author | Stuart-Smith, Rick | |
dc.contributor.author | Barrett, Neville | |
dc.contributor.author | Edgar, Graham | |
dc.contributor.author | Colquhoun, Jamie | |
dc.contributor.author | Tran, Maggie | |
dc.contributor.author | Jordan, Alan | |
dc.contributor.author | Rees, Tony | |
dc.contributor.author | Gowlett-Holmes, Karen | |
dc.date.accessioned | 2018-03-07T22:35:06Z | |
dc.date.available | 2018-03-07T22:35:06Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Althaus F., Hill, N., Ferrari, R., Edwards, L., Przeslawski, R., Schönberg, C.H.L., Stuart-Smith, R.,
Barrett, N., Edgar, G., Colquhoun, J., Tran, M., Jordan, A., Rees, T., Gowlett-Holmes, K. (2015) A
Standardised Vocabulary for Identifying Benthic Biota and Substrata from Underwater Imagery: The
CATAMI Classification Scheme. PLoS ONE 10(10), e0141039. DOI:10.1371/journal.pone.0141039 | en_US |
dc.identifier.uri | http://hdl.handle.net/11329/406 | |
dc.identifier.uri | https://doi.org/10.25607/OBP-1508 | |
dc.description.abstract | Imagery collected by still and video cameras is an increasingly important tool for minimal
impact, repeatable observations in the marine environment. Data generated from imagery
includes identification, annotation and quantification of biological subjects and environmental
features within an image. To be long-lived and useful beyond their project-specific initial
purpose, and to maximize their utility across studies and disciplines, marine imagery data
should use a standardised vocabulary of defined terms. This would enable the compilation
of regional, national and/or global data sets from multiple sources, contributing to broadscale
management studies and development of automated annotation algorithms. The classification
scheme developed under the Collaborative and Automated Tools for Analysis of
Marine Imagery (CATAMI) project provides such a vocabulary. The CATAMI classification
scheme introduces Australian-wide acknowledged, standardised terminology for annotating
benthic substrates and biota in marine imagery. It combines coarse-level taxonomy and
morphology, and is a flexible, hierarchical classification that bridges the gap between habitat/
biotope characterisation and taxonomy, acknowledging limitations when describing biological
taxa through imagery. It is fully described, documented, and maintained through
curated online databases, and can be applied across benthic image collection methods,
annotation platforms and scoring methods. Following release in 2013, the CATAMI classification
scheme was taken up by a wide variety of users, including government, academia
and industry. This rapid acceptance highlights the scheme’s utility and the potential to facilitate broad-scale multidisciplinary studies of marine ecosystems when applied globally.
Here we present the CATAMI classification scheme, describe its conception and features,
and discuss its utility and the opportunities as well as challenges arising from its use. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution 3.0 IGO | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/igo/ | * |
dc.subject.other | Imagery | en_US |
dc.subject.other | Taxonomy | en_US |
dc.subject.other | Identification | en_US |
dc.subject.other | Controlled vocabularies | en_US |
dc.subject.other | Classification | en_US |
dc.subject.other | Collaborative and Automated Tools for Analysis of Marine Imagery (CATAMI) | en_US |
dc.subject.other | Benthos | |
dc.title | A Standardised Vocabulary for Identifying Benthic Biota and Substrata from Underwater Imagery: The CATAMI Classification Scheme. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | e0141039, 18pp. | en_US |
dc.identifier.doi | 10.1371/journal.pone.0141039 | |
dc.subject.parameterDiscipline | Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity | en_US |
dc.subject.parameterDiscipline | Parameter Discipline::Biological oceanography::Underwater photography | en_US |
dc.subject.instrumentType | Instrument Type Vocabulary::underwater cameras | en_US |
dc.subject.instrumentType | Instrument Type Vocabulary::cameras | en_US |
dc.subject.dmProcesses | Data Management Practices::Ontology development | en_US |
dc.subject.dmProcesses | Data Management Practices::Controlled vocabulary development | en_US |
dc.bibliographicCitation.title | PLoS ONE | en_US |
dc.bibliographicCitation.volume | 10 | en_US |
dc.bibliographicCitation.issue | 10 | en_US |
dc.description.sdg | 14.2 | en_US |
dc.description.eov | Phytoplankton biomass and diversity; Zooplankton biomass and diversity | en_US |
dc.description.maturitylevel | TRL 9 Actual system "mission proven" through successful mission operations (ground or space) | en_US |
dc.description.bptype | Guide | en_US |
dc.description.bptype | Standard Operating Procedure | |
obps.contact.contactemail | Rachel.Przeslawski@ga.gov.au | |
obps.resourceurl.publisher | http://catami.github.io/catami-docs/CATAMI_Classification_Scheme_v1.4_Technical_document.pdf | |