Data

Benthic hard coral point score estimates for Barracouta shoal, North West Shelf from 2010, 2011, 2013 and 2016

Australian Ocean Data Network
Australian Institute of Marine Science (AIMS)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25845/p1sr-s997&rft.title=Benthic hard coral point score estimates for Barracouta shoal, North West Shelf from 2010, 2011, 2013 and 2016&rft.identifier=https://doi.org/10.25845/p1sr-s997&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=These data consist of 20-point score estimates randomly placed on individual high resolution downward facing benthic digital images taken at Barracouta shoal using the AIMS towed video system. The AIMS towed video system comprises a towed camera platform sending a live camera feed to a vessel-based, realtime image classification system (see Heyward et al. 2011) and a downward-facing high resolution still camera and strobe system programmed to take sequential still images at fixed time intervals of 10 seconds. The towed platform was deployed over the stern of the vessel, maintained as near as possible within a metre of the seabed and towed at 1-2 knots (1.5 nominal). Transect lengths varied among the years of data collection. The downward-looking still images were geo-referenced during post-processing then analysed using a point-intercept approach. Information on benthic biota at each shoal was extracted from images using a point intercept approach with the AIMS Reefmon software (Jonker et al., 2008). All images were analysed using the Reefmon database system, with five overlaid points classified per photo and data logged against transect, depth and position. The data provided here are derived using a machine learning model trained using the original manual annotations. The artificial intelligence engine called BenthoBot was used to re-analyse all seabed images from all years 2010-2016, processing each image using exactly the same approach. BenthoBot is a computer algorithm developed to classify points on an image, based on the spectral properties extracted from each image. It has been developed specifically by the Australian Institute of Marine Science to providean efficient and consistent means of generating the point based broad scale benthic classification data. The benefits of using BenthoBot include standardisation of the number of points sampled per image across all years (20 points per image) and removal of inconsistency in point classification associated with numerous technicians scoring images that may cause spatial and temporal artifacts. Secondary (textural) datasets correlated with seafloor properties were developed from multibeam bathymetry to provide information on environmental characteristics, and are also provided here extracted for each image location as covariates.Maintenance and Update Frequency: asNeededStatement: References: Heyward, A., Jones, R., Meeuwig, J., Burns, K., Radford, B., Colquhoun, J., Cappo, M., Case, M., O’Leary, R.A., Fisher, R., Meekan, M., and M. Stowar. 2012. Monitoring Study S5. Montara: 2011 Offshore Banks Assessment Survey. Final report prepared by the Australian Institute of Marine Science for PTTEP Australasia (Ashmore Cartier) Pty. Ltd. in accordance with Contract No. 000/2011/02-04. Perth, May 2012. 257p. Heyward, A. et al. 2015. Barossa Environmental Baseline Study 2015 Interim Report for Conoco Philips (Browse Basin) Pty Ltd. Australian Institute of Marine Science, Perth 2015. 55p. Heyward, A., Case, M., Cappo, M., Colquhoun, J., Curry, L., Fisher, R., Radford, B., Stowar, M., Wakeford, M. and Wyatt, M., 2017. The Barracouta, Goeree and Vulcan, Shoals Survey 2016. Townsville: Australian Institute of Marine Science. Jonker, M., Johns, K. and Osborne, K., 2008. Surveys of benthic reef communities using underwater digital photography and counts of juvenile corals. Long-term monitoring of the Great Barrier Reef. Standard operational procedure, 10.&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2024&rft.coverage=westlimit=124.22204187037595; southlimit=-13.277887272102284; eastlimit=125.00936972247494; northlimit=-12.478376613439119&rft.coverage=westlimit=124.22204187037595; southlimit=-13.277887272102284; eastlimit=125.00936972247494; northlimit=-12.478376613439119&rft_rights= http://creativecommons.org/licenses/by/3.0/au/&rft_rights=http://i.creativecommons.org/l/by/3.0/au/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 3.0 Australia License&rft_rights=http://creativecommons.org/international/au/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=Use Limitation: All AIMS data, products and services are provided as is and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science (AIMS). (2022). Benthic hard coral point score estimates for Barracouta shoal, North West Shelf from 2010, 2011, 2013 and 2016. https://doi.org/10.25845/p1sr-s997, accessed[date-of-access].&rft_rights=Creative Commons Attribution 3.0 Australia License http://creativecommons.org/licenses/by/3.0/au&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data
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Use Limitation: All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science (AIMS). (2022). Benthic hard coral point score estimates for Barracouta shoal, North West Shelf from 2010, 2011, 2013 and 2016. https://doi.org/10.25845/p1sr-s997, accessed[date-of-access]".

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Brief description

These data consist of 20-point score estimates randomly placed on individual high resolution downward facing benthic digital images taken at Barracouta shoal using the AIMS towed video system. The AIMS towed video system comprises a towed camera platform sending a live camera feed to a vessel-based, realtime image classification system (see Heyward et al. 2011) and a downward-facing high resolution still camera and strobe system programmed to take sequential still images at fixed time intervals of 10 seconds. The towed platform was deployed over the stern of the vessel, maintained as near as possible within a metre of the seabed and towed at 1-2 knots (1.5 nominal). Transect lengths varied among the years of data collection. The downward-looking still images were geo-referenced during post-processing then analysed using a point-intercept approach. Information on benthic biota at each shoal was extracted from images using a point intercept approach with the AIMS Reefmon software (Jonker et al., 2008). All images were analysed using the Reefmon database system, with five overlaid points classified per photo and data logged against transect, depth and position. The data provided here are derived using a machine learning model trained using the original manual annotations. The artificial intelligence engine called BenthoBot was used to re-analyse all seabed images from all years 2010-2016, processing each image using exactly the same approach. BenthoBot is a computer algorithm developed to classify points on an image, based on the spectral properties extracted from each image. It has been developed specifically by the Australian Institute of Marine Science to providean efficient and consistent means of generating the point based broad scale benthic classification data. The benefits of using BenthoBot include standardisation of the number of points sampled per image across all years (20 points per image) and removal of inconsistency in point classification associated with numerous technicians scoring images that may cause spatial and temporal artifacts. Secondary (textural) datasets correlated with seafloor properties were developed from multibeam bathymetry to provide information on environmental characteristics, and are also provided here extracted for each image location as covariates.

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Maintenance and Update Frequency: asNeeded
Statement: References: Heyward, A., Jones, R., Meeuwig, J., Burns, K., Radford, B., Colquhoun, J., Cappo, M., Case, M., O’Leary, R.A., Fisher, R., Meekan, M., and M. Stowar. 2012. Monitoring Study S5. Montara: 2011 Offshore Banks Assessment Survey. Final report prepared by the Australian Institute of Marine Science for PTTEP Australasia (Ashmore Cartier) Pty. Ltd. in accordance with Contract No. 000/2011/02-04. Perth, May 2012. 257p. Heyward, A. et al. 2015. Barossa Environmental Baseline Study 2015 Interim Report for Conoco Philips (Browse Basin) Pty Ltd. Australian Institute of Marine Science, Perth 2015. 55p. Heyward, A., Case, M., Cappo, M., Colquhoun, J., Curry, L., Fisher, R., Radford, B., Stowar, M., Wakeford, M. and Wyatt, M., 2017. The Barracouta, Goeree and Vulcan, Shoals Survey 2016. Townsville: Australian Institute of Marine Science. Jonker, M., Johns, K. and Osborne, K., 2008. Surveys of benthic reef communities using underwater digital photography and counts of juvenile corals. Long-term monitoring of the Great Barrier Reef. Standard operational procedure, 10.

Notes

Credit
Case, M. (AIMS)
Credit
Radford, B. (AIMS)
Credit
Fisher, R. (AIMS)
Credit
Heyward, A. Australian Institute of Marine Science (AIMS)
Credit
Colquhoun, J. (AIMS)
Credit
Burns, K. (AIMS)
Credit
Moore, C. (AIMS)
Credit
Jones, R. (AIMS)
Credit
Meeuwig, J. University of Western Australia (UWA)
Credit
Cappo, M. (AIMS)
Credit
O'Leary, R. (AIMS)
Credit
Meekan, M . (AIMS)
Credit
Stowar, M. (AIMS)
Credit
Curry, L. (AIMS)
Credit
Wakeford, M. (AIMS)
Credit
Wyatt, M. (AIMS)

Modified: 09 08 2024

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125.00937,-12.47838 125.00937,-13.27789 124.22204,-13.27789 124.22204,-12.47838 125.00937,-12.47838

124.61570579643,-12.87813194277

text: westlimit=124.22204187037595; southlimit=-13.277887272102284; eastlimit=125.00936972247494; northlimit=-12.478376613439119

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Other Information
Source Dataset: Towed Video Deployments In Timor Sea Banks And Shoals (Montara 4)

uri : https://apps.aims.gov.au/metadata/view/48c10c4e-12d8-49d6-80ce-c41025640207

Barracouta East R data [zip folder containing 2 csv files. Size: 787 KB]

uri : https://api.aims.gov.au/data-v2.0/5979a4c9-3c0a-4e12-82ed-0c813eec1b6c/files/Barracouta_East_Rdata.zip

Source Dataset: Towed Video Deployments In Timor Sea Banks And Shoals (Montara 3)

uri : https://apps.aims.gov.au/metadata/view/fba36bfe-e07d-434f-b354-6eb40ec17d6f

Source Dataset: Towed Video deployments in Timor Sea Banks and Shoals (Montara 2)

uri : https://apps.aims.gov.au/metadata/view/cd084dc6-12f8-4d50-83ba-ec0512313544

A Heyward et al. 2011; Monitoring Study S5 Banks & Shoals, Montara 2011 Offshore Banks Assessment Survey. Report for PTTEP Australasia (Ashmore Cartier) Pty. Ltd. Australian Institute of Marine Science, Townsville. (253pp.).

uri : https://www.dcceew.gov.au/sites/default/files/env/pages/bcefac9b-ebc5-4013-9c88-a356280c202c/files/2011-offshore-banks-assessment-survey.pdf

Barracoua East raster data [zip folder size: 13 MB]

uri : https://api.aims.gov.au/data-v2.0/5979a4c9-3c0a-4e12-82ed-0c813eec1b6c/files/BE_raster_data.zip

Identifiers
  • global : 5979a4c9-3c0a-4e12-82ed-0c813eec1b6c
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