Data

EcoRRAP Digital Surface Models

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
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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). (2023). EcoRRAP Digital Surface Models. https://apps.aims.gov.au/metadata/view/9fb02277-0237-4098-b284-faad6fe3f397, accessed[date-of-access].&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data
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Licence & Rights:

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Creative Commons Attribution-NonCommercial 3.0 Australia License
http://creativecommons.org/licenses/by-nc/3.0/au/

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). (2023). EcoRRAP Digital Surface Models. https://apps.aims.gov.au/metadata/view/9fb02277-0237-4098-b284-faad6fe3f397, accessed[date-of-access]".

Access:

Other

Full description

The current digital surface models (DSMs) represent scaled, 3D, representations of benthic communities at EcoRRAP study sites. DSMs are generated from raw imagery collected by divers (see SOP #14, Reef monitoring sampling methods | AIMS) and processed using photogrammetry software Agisoft Metashape. DSMs can be used to extract a range of data describing 3D habitat characterstics at both plot and colony scale, including: rugosity, surface area, and volume. Comparison of DSMS between years can also be used to quantify changes in the above metrics at plot scales and to measure 3D demographic rates of individual colonies (e.g. 3D growth and partial mortality).

Lineage

Maintenance and Update Frequency: annually
Statement: DSMs are created from raw imagery collected using Nikon D850 DSLRs

Notes

Credit
This data was collected by the 'Field integrated testing project' of EcoRRAP. We thank all team members, students, and volunteers for their efforts.
Credit
The Reef Restoration and Adaptation Program is funded by the partnership between the Australian Government’s Reef Trust and the Great Barrier Reef Foundation.

Modified: 11 09 2026

This dataset is part of a larger collection

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Subjects
oceans |

User Contributed Tags    

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Other Information
Link to models: SketchFab site

url : https://sketchfab.com/AIMSEcoRRAP

DSM file read me

url : https://api.aims.gov.au/data-v2.0/9fb02277-0237-4098-b284-faad6fe3f397/files/README.txt

global : fe9659f1-12d6-4acf-ab89-67acdd37efe5

Identifiers
  • global : 9fb02277-0237-4098-b284-faad6fe3f397
ACN 633 798 857