Full description
The primary scientific dataset arising from the XL Catlin Seaview Survey project is the “Seaview Survey Photo-quadrat and Image Classification Dataset”, consisting of: (1) over one million standardised, downward-facing “photo-quadrat” images covering approximately 1m2 of the sea floor; (2) human-classified annotations that can be used to train and validate image classifiers; (3) benthic cover data arising from the application of machine learning classifiers to the photo-quadrats; and (4) the triplets of raw images (covering 360o) from which the photo-quadrats were derived.Photo-quadrats were collected between 2012 and 2018 at 860 transect locations around the world, including: the Caribbean and Bermuda, the Indian Ocean (Maldives, Chagos Archipelago), the Coral Triangle (Indonesia, Philippines, Timor-Leste, Solomon Islands), the Great Barrier Reef, Taiwan and Hawaii.For additional information regarding methodology, data structure, organization and size, please see attached document “Dataset documentation”.Issued: 2019
Data time period: 16 09 2012 to 05 05 2018
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The Catlin Seaview Survey - kilometre-scale seascape assessment, and monitoring of coral reef ecosystems
local : UQ:347827
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
Scaling up ecological measurements of coral reefs using semi-automated field image collection and analysis
local : UQ:380143
Gonzalez-Rivero, Manuel, Beijbom, Oscar, Rodriguez-Ramirez, Alberto, Holtrop, Tadzio, Gonzalez-Marrero, Yeray, Ganase, Anjani, Roelfsema, Chris, Phinn, Stuart and Hoegh-Guldberg, Ove (2016). Scaling up ecological measurements of coral reefs using semi-automated field image collection and analysis. Remote Sensing, 8 (1) 30, 30. doi: 10.3390/rs8010030
Comparison of two photographic methodologies for collecting and analyzing the condition of coral reef ecosystems
local : UQ:697455
Bryant, D. E. P., Rodriguez-Ramirez, A., Phinn, S., Gonzalez-Rivero, M., Brown, K. T., Neal, B. P., Hoegh-Guldberg, O. and Dove, S. (2017). Comparison of two photographic methodologies for collecting and analyzing the condition of coral reef ecosystems. Ecosphere, 8 (10) e01971, e01971. doi: 10.1002/ecs2.1971
Monitoring through many eyes: integrating disparate datasets to improve monitoring of the Great Barrier Reef
local : UQ:dbdaddd
Peterson, Erin E., Santos-Fernández, Edgar, Chen, Carla, Clifford, Sam, Vercelloni, Julie, Pearse, Alan, Brown, Ross, Christensen, Bryce, James, Allan, Anthony, Ken, Loder, Jennifer, González-Rivero, Manuel, Roelfsema, Chris, Caley, M. Julian, Mellin, Camille, Bednarz, Tomasz and Mengersen, Kerrie (2020). Monitoring through many eyes: integrating disparate datasets to improve monitoring of the Great Barrier Reef. Environmental Modelling and Software, 124 104557, 104557. doi: 10.1016/j.envsoft.2019.104557
Forecasting intensifying disturbance effects on coral reefs
local : UQ:9495bb2
Vercelloni, Julie, Liquet, Benoit, Kennedy, Emma V., González-Rivero, Manuel, Caley, M. Julian, Peterson, Erin E., Puotinen, Marji, Hoegh-Guldberg, Ove and Mengersen, Kerrie (2020). Forecasting intensifying disturbance effects on coral reefs. Global Change Biology, 26 (5) gcb.15059, 2785-2797. doi: 10.1111/gcb.15059
Monitoring of coral reefs using artificial intelligence: a feasible and cost-effective approach
local : UQ:ac556ed
González-Rivero, Manuel, Beijbom, Oscar, Rodriguez-Ramirez, Alberto, Bryant, Dominic E. P., Ganase, Anjani, Gonzalez-Marrero, Yeray, Herrera-Reveles, Ana, Kennedy, Emma V., Kim, Catherine J. S., Lopez-Marcano, Sebastian, Markey, Kathryn, Neal, Benjamin P., Osborne, Kate, Reyes-Nivia, Catalina, Sampayo, Eugenia M., Stolberg, Kristin, Taylor, Abbie, Vercelloni, Julie, Wyatt, Mathew and Hoegh-Guldberg, Ove (2020). Monitoring of coral reefs using artificial intelligence: a feasible and cost-effective approach. Remote Sensing, 12 (3) 489, 489. doi: 10.3390/rs12030489
Towards automated annotation of benthic survey images: variability of human experts and operational modes of automation
local : UQ:367749
Beijbom, Oscar, Edmunds, Peter J., Roelfsema, Chris, Smith, Jennifer, Kline, David I., Neal, Benjamin P., Dunlap, Matthew J., Moriarty, Vincent, Fan, Tung-Yung, Tan, Chih-Jui, Chan, Stephen, Treibitz, Tali, Gamst, Anthony, Mitchell, B. Greg and Kriegman, David (2015). Towards automated annotation of benthic survey images: variability of human experts and operational modes of automation. PLoS One, 10 (7) e0130312, e0130312. doi: 10.1371/journal.pone.0130312
Improving automated annotation of benthic survey images using wide-band fluorescence
local : UQ:385523
Beijbom, Oscar, Treibitz, Tali, Kline, David I., Eyal, Gal, Khen, Adi, Neal, Benjamin, Loya, Yossi, Mitchell, B. Greg and Kriegman, David (2016). Improving automated annotation of benthic survey images using wide-band fluorescence. Scientific Reports, 6 (1) 23166. doi: 10.1038/srep23166
Using virtual reality to estimate aesthetic values of coral reefs
local : UQ:b53f10b
Vercelloni, Julie, Clifford, Sam, Caley, M. Julian, Pearse, Alan R., Brown, Ross, James, Allan, Christensen, Bryce, Bednarz, Tomasz, Anthony, Ken, Gonzalez-Rivero, Manuel, Mengersen, Kerrie and Peterson, Erin E. (2018). Using virtual reality to estimate aesthetic values of coral reefs. Royal Society Open Science, 5 (4) 172226, 172226. doi: 10.1098/rsos.172226
Risk-sensitive planning for conserving coral reefs under rapid climate change
local : UQ:f5ee4ee
Beyer, Hawthorne L., Kennedy, Emma V., Beger, Maria, Chen, Chaolun Allen, Cinner, Joshua E., Darling, Emily S., Eakin, C. Mark, Gates, Ruth D., Heron, Scott F., Knowlton, Nancy, Obura, David O., Palumbi, Stephen R., Possingham, Hugh P., Puotinen, Marji, Runting, Rebecca K., Skirving, William J., Spalding, Mark, Wilson, Kerrie A., Wood, Sally, Veron, John E. and Hoegh-Guldberg, Ove (2018). Risk-sensitive planning for conserving coral reefs under rapid climate change. Conservation Letters, 11 (6) e12587, e12587. doi: 10.1111/conl.12587
Securing a long-term future for coral reefs
local : UQ:f931842
Hoegh-Guldberg, Ove, Kennedy, Emma V., Beyer, Hawthorne L., McClennen, Caleb and Possingham, Hugh P. (2018). Securing a long-term future for coral reefs. Trends in Ecology & Evolution, 33 (12), 936-944. doi: 10.1016/j.tree.2018.09.006
Leveraging automated image analysis tools to transform our capacity to assess status and trends on coral reefs
local : UQ:47679a9
Williams, Ivor D., Couch, Courtney, Beijbom, Oscar, Oliver, Thomas, Vargas-Angel, Bernardo, Schumacher, Brett and Brainard, Russell (2019). Leveraging automated image analysis tools to transform our capacity to assess status and trends on coral reefs. Frontiers in Marine Science, 6 (APR) 222. doi: 10.3389/fmars.2019.00222
Research Data Collections
local : UQ:289097
- DOI : 10.14264/UQL.2019.930
