The Catlin Seaview Survey - kilometre-scale seascape assessment, and monitoring of coral reef ecosystems

Gonzalez-Rivero, Manuel, Bongaerts, Pim, Beijbom, Oscar, Pizarro, Oscar, Friedman, Ariell, Rodriguez-Ramirez, Alberto, Upcroft, Ben, Laffoley, Dan, Kline, David, Bailhache, Christophe, Vevers, Richard and Hoegh-Guldberg, Ove (2014) The Catlin Seaview Survey - kilometre-scale seascape assessment, and monitoring of coral reef ecosystems. Aquatic Conservation: Marine and Freshwater Ecosystems, 24 S2: 184-198. doi:10.1002/aqc.2505

Author Gonzalez-Rivero, Manuel
Bongaerts, Pim
Beijbom, Oscar
Pizarro, Oscar
Friedman, Ariell
Rodriguez-Ramirez, Alberto
Upcroft, Ben
Laffoley, Dan
Kline, David
Bailhache, Christophe
Vevers, Richard
Hoegh-Guldberg, Ove
Title The Catlin Seaview Survey - kilometre-scale seascape assessment, and monitoring of coral reef ecosystems
Journal name Aquatic Conservation: Marine and Freshwater Ecosystems   Check publisher's open access policy
ISSN 1099-0755
Publication date 2014-11-01
Year available 2014
Sub-type Article (original research)
DOI 10.1002/aqc.2505
Open Access Status
Volume 24
Issue S2
Start page 184
End page 198
Total pages 15
Place of publication Chichester, West Sussex, United Kingdom
Publisher John Wiley & Sons
Collection year 2015
Language eng
Formatted abstract
1. Marine ecosystems provide critically important goods and services to society, and hence their accelerated degradation underpins an urgent need to take rapid, ambitious and informed decisions regarding their conservation and management.
2. The capacity, however, to generate the detailed field data required to inform conservation planning at appropriate scales is limited by time and resource consuming methods for collecting and analysing field data at the large scales required.
3. The ‘Catlin Seaview Survey’, described here, introduces a novel framework for large-scale monitoring of coral reefs using high-definition underwater imagery collected using customized underwater vehicles in combination with computer vision and machine learning. This enables quantitative and geo-referenced outputs of coral reef features such as habitat types, benthic composition, and structural complexity (rugosity) to be generated across multiple kilometre-scale transects with a spatial resolution ranging from 2 to 6 m2.
4. The novel application of technology described here has enormous potential to contribute to our understanding of coral reefs and associated impacts by underpinning management decisions with kilometre-scale measurements of reef health.
5. Imagery datasets from an initial survey of 500 km of seascape are freely available through an online tool called the Catlin Global Reef Record. Outputs from the image analysis using the technologies described here will be updated on the online repository as work progresses on each dataset.
6. Case studies illustrate the utility of outputs as well as their potential to link to information from remote sensing. The potential implications of the innovative technologies on marine resource management and conservation are also discussed, along with the accuracy and efficiency of the methodologies deployed.
Keyword Monitoring
Marine protected areas
Coral reefs
Conservation evaluation
Climate change
Urban development
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Global Change Institute Publications
Official 2015 Collection
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 10 times in Scopus Article | Citations
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