High resolution acoustic data of reef habitat - Tasmanian East Coast
The principle aim of this project was to map the fine-scale spatial distribution of key abalone habitat impacted by urchins in < 25 m water depth using multibeam acoustic imagery. Detailed substrate type (Pavement Reef, Megaclast Reef, Mixed Consolidated Sediment/Reef and Sand), and kelp coverage maps have been produced for the east coast of Tasmania. Large urchin barrens have been predicted and the minimum quantifiable unit of which small incipient barrens can be detected has been identified using this acoustic water column technique.
This data provides a snapshot of the 2021 distribution of seafloor habitats and associated vegetation distribution, and will assist in the facilitation of strategic decision making for urchin control and abalone management.
All spatial datasets and derivatives of the have been uploaded onto the Seamap Australia data portal for visualisation as a resource for both managers and scientists for further analysis and study. Data packages have been split by fishing block (22-24, 27-30) and are available to download from each of the 'child' records linked to this record (below).
Simple
Identification info
- Date (Creation)
- 2021-11-19
- Citation identifier
-
doi: 10.25959/AHR1-Q718
- Title
- Information and documentation - Digital object identifier system
- Date (Publication)
- 2021-12-09T00:00:00
- Citation identifier
-
ISO 26324:2012
Principal investigator
Principal investigator Principal investigator
Principal investigator
Principal investigator
Principal investigator
- Credit
- Abalone Industry Re-investment Fund (AIRF)
- Credit
- Tasmanian Climate Change Office
- Credit
- CSIRO Geophysical Mapping and Survey (GSM)
- Credit
- Sustainable Marine Research Collaboration Agreement (SMRCA)
- Status
- complete
Principal investigator
- Topic category
-
- Geoscientific information
Extent
Temporal extent
- Time period
- 2021-04-12 2021-04-23
- Maintenance and update frequency
- none-planned
- Keywords (Taxon)
-
- Centrostephanus rogersii
- Haliotis rubra
- NASA/GCMD Keywords, Version 8.5
Resource constraints
- Classification
- Unclassified
Resource constraints
- Use limitation
- The data described in this record are the intellectual property of the University of Tasmania through the Institute for Marine and Antarctic Studies.
Resource constraints
- Linkage
-
https://i.creativecommons.org/l/by/4.0/88x31.png
License Graphic
- Title
- Creative Commons Attribution 4.0 International License
- Website
-
https://creativecommons.org/licenses/by/4.0/
License Text
- Other constraints
- Cite data as: Lucieer, V., Keane, J. Shelamoff, V., Nau, A., Ling, S., & Monk, J. (2021). High resolution acoustic data of reef habitat - Tasmanian East Coast [Data set]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). https://doi.org/10.25959/AHR1-Q718
- Language
- English
- Character encoding
- UTF8
- Supplemental Information
- Lucieer V, Flukes E, Keane JP, Ling SD, Nau AW and Shelamoff V (2023) Mapping warming reefs—An application of multibeam acoustic water column analysis to define threatened abalone habitat. Front. Remote Sens. 4:1149900. doi: 10.3389/frsen.2023.1149900
Content Information
- Content type
- Physical measurement
Distribution Information
- Distribution format
-
-
- OnLine resource
-
ASSOCIATED PUBLICATION - Mapping warming reefs—An application of multibeam acoustic water column analysis to define threatened abalone habitat
- OnLine resource
-
imas:AbHab_bathy_50cm_grp
MAP - 50cm multibeam bathymetry
- OnLine resource
-
imas:AbHab_benthic_habitat_grp
MAP - finescale substratum
- OnLine resource
-
imas:AbHab_WCD_9m2_means
MAP - water column - 9m² mean db signal
- OnLine resource
-
imas:AbHab_WCD_classified
MAP - water column - vegetation likelihood 'traffic light' (from db signal)
Resource lineage
- Statement
- A full survey was conducted between the 12th and 23rd of April 2021. A Kongsberg Maritime EM2040 multibeam sonar (contracted from CSIRO) was pole mounted on the RV Abyss (Marine Solutions) vessel. CARIS software was used to process the bathymetric data into a gridded depth surface at 50 cm resolution. File-scale benthic substratum classification was derived (using the Seamap Australia Benthic Habitat Classification Scheme) - see associated report for full methodology. The bathymetric surface was analysed in ArcGIS to produce spatial derivatives of (1) seabed slope; (2) curvature (planar and profile); (3) rugosity; and (4) associated contour line information. These spatial derivatives are available for download as associated data with this project. The water column data from the multibeam data record (.all and .wcd format) were read into Matlab using the open-source CoFFee toolbox (https://github.com/alexschimel/CoFFee). The water column samples were filtered using subsequent custom Matlab scripts to eliminate most of the unwanted noise while retaining targets likely to be signal from vegetation. The remaining signals were gridding by calculating the average signal within 50cm grid cells and exporting as point features at 50cm spacing. In ArcGIS, these points were re-gridded to 1m resolution using the mean signal within 1m blocks. The Block Statistic tool was run using a 3x3 neighbourhood and calculating the mean value to create a surface representing 9m2 which would be relevant to the scale that managers can relate to in the natural environment. The block statistic raster was then reclassified into three classes to represent bare (no signal in the water column), patchy (medium level signal) and dense signal (lots of vegetation). The thresholds for the three classes were -64 (minimum) to -60db as bare, -60 to -50 as patchy, and >-50 as dense. The derived water column products are (1) 1m mean signal; (2) raw block statistic (9m2); and (3) vegetation likelihood classified ‘traffic light’ layer. Products (2) and (3) are available as layers for visualisation on the Seamap Australia data portal. Full details of data processing methods for both the seafloor and water column acoustics can be found in the associated report with this data record. Web Mapping Services of bathymetry, habitat, and water column data are available using the following connection parameters: Server URL: https://geoserver.imas.utas.edu.au/geoserver/wms Layer names: • bathymetry = imas:AbHab_bathy_50cm • hillshade = imas:AbHab_hillshade_50cm • substrate type (Seamap Aus classified) = seamap:AbHab_seamap_habitat • water column 9m2 raw block statistic = imas:AbHab_WCD_9m2_means • water column vegetation likelihood classification = imas:AbHab_WCD_classified
- Hierarchy level
- Dataset
Reference System Information
Identifier
- Code
- EPSG:32755
- Description
- WGS 84 / UTM zone 55S
- Reference system type
- Geodetic Geocentric
Reference System Information
Identifier
- Code
- EPSG:5714
- Description
- MSL height
- Reference system type
- Vertical
Metadata
- Metadata identifier
-
urn:uuid/de61f7c0-41bb-47bf-895a-7ff958689657
- Language
- English
- Character encoding
- UTF8
Point of contact
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/de61f7c0-41bb-47bf-895a-7ff958689657
Point of truth URL of this metadata record
- Date info (Creation)
- 2015-05-06T11:44:25
- Date info (Revision)
- 2024-02-19T15:00:25
Metadata standard
- Title
- ISO 19115-3:2018