Data

Geographe Marine Park Bathymetry - 5m Resolution Grid

Geoscience Australia
Geoscience Australia
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://pid.geoscience.gov.au/dataset/ga/121158&rft.title=Geographe Marine Park Bathymetry - 5m Resolution Grid&rft.identifier=https://pid.geoscience.gov.au/dataset/ga/121158&rft.description=Australia has established a network of 58 marine parks within Commonwealth waters covering a total of 3.3 million square kilometres, or 40 per cent of our exclusive economic zone (excluding Australian Antarctic Territory). These parks span a range of settings, from near coastal and shelf habitats to abyssal plains. Parks Australia manages the park network through management plans that came into effect for all parks on 1 July 2018. Geoscience Australia is contributing to their management by collating and interpreting existing environmental data, and through the collection of new marine data. “Eco-narrative” documents are being developed for those parks, where sufficient information is available, delivering collations and interpretations of seafloor geomorphology, oceanography and ecology. Many of these interpretations rely on bathymetric grids and their derived products, including those in this data release. Bathymetry grids: The bathymetry of the marine parks was created by compiling and processing Geoscience Australia’s bathymetry data holding gridded at the optimum resolution depending of the vessel’s sonar system. The bathymetry of the park is illustrated by a panchromatic geotiff image, developed by combining the bathymetric data with a hillshade image. Morphological Surfaces: Geoscience Australia has developed a new marine seafloor classification scheme, which uses the two-part seafloor mapping morphology approach of Dove et al (2016). This new scheme is semi-hierarchical and the first step divides the slope of the seafloor into three Morphological Surface categories (Plain, 10°). Dove, D., Bradwell, T., Carter, G., Cotterill, C., Gafeira, J., Green, S., Krabbendam, M., Mellet, C., Stevenson, A., Stewart, H., Westhead, K., Scott, G., Guinan, J., Judge, M. Monteys, X., Elvenes, S., Baeten, N., Dolan, M., Thorsnes, T., Bjarnadóttir, L., Ottesen, D. (2016). Seabed geomorphology: a twopart classification system. British Geological Survey, Open Report OR/16/001. 13 pages. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.This dataset is not to be used for navigational purposes.Maintenance and Update Frequency: asNeededStatement: The Geographe Marine Park Bathymetry dataset was created by compiling GA's bathymetry data holding. The bathymetry consist of the following surveys: 1- GA-5007 Two Rocks to Cape Naturaliste LIDAR bathymetry survey. 2- AIMS Geographe Bay bathymetry dataset that has been downloaded from PAWSEY in ASCII XYZ format. The dataset was processed in the Geoscience Australia by Michele Spinoccia, using CARIS HIPS & SIPS ver 7.1.2. Metadata: - Grid resolution: 5 m - Number of grids: 1 - Total surface coverage: 828.31 km2 - Vertical Datum: MSL - Horizontal Datum: WGS84 UTM-50S - Use Limitation: This dataset is not to be used for navigational purposes. - This dataset is published with the permission of the CEO, Geoscience Australia Processing: 1. First a vessel configuration file was created where the co-ordinates of the motion sensor and DGPS antenna and patch test offsets were recorded. 2. A new project was then created and the vessel configuration file was attached to the project file. 3. The raw swath sonar data, for each line was then imported into the project and the vessel information assigned to the data. 4. The motion sensor, DGPS and heading data were then cleaned using a filter that averaged adjacent data to remove artefacts. 5. Different sound velocity profiles data for each block were attached to the corresponding raw swath sonar data files to correct the depths for changes in the speed of sound through the water column. 6. Then a new blank field area was defined that specified the geographic area of study and the co-ordinate system used. The co-ordinates for the study areas were WGS84 UTM-50S. 7. The data was cleaned by applying several filters that removed any remaining spikes in the bathymetry data using user defined threshold values. A visual inspection of the data for each line was then undertaken where artefacts and noisy data not removed by the filtering process were removed manually using Swath and subset editors modules of the Caris HIPS/SIPS software. 8. All the data for each bathymetric, motion sensor, DGPS, heading, tide and sound velocity profile data were merged to produce the final processed data file. A weighted grid of the processed data was then created for each Block. In GA the tide was applied to the grid to correct for tidal variations and velocity corrections were performed to correct for different artefacts and mismatches. 9. The processed data was finally exported as grids soundings or false coloured images for presentation and reporting and as final processed data in in ASCII XYZ as well as geotif formats at the optimum resolution the data can provide. 10.Using CARIS Base editor 4.0 the grids were exported as ESRI ASCII grid, then imported into ARC catalogue/info to create a raster file for the entire survey as well as Google Earth KMZ.&rft.creator=Geoscience Australia &rft.date=2018&rft.coverage=westlimit=114.99; southlimit=-33.25; eastlimit=115.7; northlimit=-33.67&rft.coverage=westlimit=114.99; southlimit=-33.25; eastlimit=115.7; northlimit=-33.67&rft_rights=&rft_rights=Creative Commons Attribution 4.0 International Licence&rft_rights=CC-BY&rft_rights=4.0&rft_rights=http://creativecommons.org/licenses/&rft_rights=WWW:LINK-1.0-http--link&rft_rights=Australian Government Security ClassificationSystem&rft_rights=https://www.protectivesecurity.gov.au/Pages/default.aspx&rft_rights=WWW:LINK-1.0-http--link&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_subject=geoscientificInformation&rft_subject=HVC_144641&rft_subject=AusSeabed&rft_subject=bathymetry&rft_subject=marine&rft_subject=bathymetry grid&rft_subject=marine data&rft_subject=National Environmental Science Program&rft_subject=Marine Biodiversity Hub&rft_subject=Published_External&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

Creative Commons Attribution 4.0 International Licence

CC-BY

4.0

http://creativecommons.org/licenses/

WWW:LINK-1.0-http--link

Australian Government Security ClassificationSystem

https://www.protectivesecurity.gov.au/Pages/default.aspx

WWW:LINK-1.0-http--link

Access:

Open

Contact Information

clientservices@ga.gov.au

Brief description

Australia has established a network of 58 marine parks within Commonwealth waters covering a total of 3.3 million square kilometres, or 40 per cent of our exclusive economic zone (excluding Australian Antarctic Territory). These parks span a range of settings, from near coastal and shelf habitats to abyssal plains. Parks Australia manages the park network through management plans that came into effect for all parks on 1 July 2018. Geoscience Australia is contributing to their management by collating and interpreting existing environmental data, and through the collection of new marine data. “Eco-narrative” documents are being developed for those parks, where sufficient information is available, delivering collations and interpretations of seafloor geomorphology, oceanography and ecology. Many of these interpretations rely on bathymetric grids and their derived products, including those in this data release.

Bathymetry grids:

The bathymetry of the marine parks was created by compiling and processing Geoscience Australia’s bathymetry data holding gridded at the optimum resolution depending of the vessel’s sonar system.

The bathymetry of the park is illustrated by a panchromatic geotiff image, developed by combining the bathymetric data with a hillshade image.

Morphological Surfaces:

Geoscience Australia has developed a new marine seafloor classification scheme, which uses the two-part seafloor mapping morphology approach of Dove et al (2016). This new scheme is semi-hierarchical and the first step divides the slope of the seafloor into three Morphological Surface categories (Plain, <2°; Slope, 2-10°; Escarpment, >10°).

Dove, D., Bradwell, T., Carter, G., Cotterill, C., Gafeira, J., Green, S., Krabbendam, M., Mellet, C., Stevenson, A., Stewart, H., Westhead, K., Scott, G., Guinan, J., Judge, M. Monteys, X., Elvenes, S., Baeten, N., Dolan, M., Thorsnes, T., Bjarnadóttir, L., Ottesen, D. (2016). Seabed geomorphology: a twopart classification system. British Geological Survey, Open Report OR/16/001. 13 pages.

This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

This dataset is not to be used for navigational purposes.

Lineage

Maintenance and Update Frequency: asNeeded
Statement: The Geographe Marine Park Bathymetry dataset was created by compiling GA's bathymetry data holding.
The bathymetry consist of the following surveys:
1- GA-5007 Two Rocks to Cape Naturaliste LIDAR bathymetry survey.
2- AIMS Geographe Bay bathymetry dataset that has been downloaded from PAWSEY in ASCII XYZ format.

The dataset was processed in the Geoscience Australia by Michele Spinoccia, using CARIS HIPS & SIPS ver 7.1.2.

Metadata:

- Grid resolution: 5 m
- Number of grids: 1
- Total surface coverage: 828.31 km2
- Vertical Datum: MSL
- Horizontal Datum: WGS84 UTM-50S
- Use Limitation: This dataset is not to be used for navigational purposes.
- This dataset is published with the permission of the CEO, Geoscience Australia

Processing:
1. First a vessel configuration file was created where the co-ordinates of the motion sensor and DGPS antenna and patch test offsets were recorded.
2. A new project was then created and the vessel configuration file was attached to the project file.
3. The raw swath sonar data, for each line was then imported into the project and the vessel information assigned to the data.
4. The motion sensor, DGPS and heading data were then cleaned using a filter that averaged adjacent data to remove artefacts.
5. Different sound velocity profiles data for each block were attached to the corresponding raw swath sonar data files to correct the depths for changes in the speed of sound through the water column.
6. Then a new blank field area was defined that specified the geographic area of study and the co-ordinate system used. The co-ordinates for the study areas were WGS84 UTM-50S.
7. The data was cleaned by applying several filters that removed any remaining spikes in the bathymetry data using user defined threshold values. A visual inspection of the data for each line was then undertaken where artefacts and noisy data not removed by the filtering process were removed manually using Swath and subset editors modules of the Caris HIPS/SIPS software.
8. All the data for each bathymetric, motion sensor, DGPS, heading, tide and sound velocity profile data were merged to produce the final processed data file. A weighted grid of the processed data was then created for each Block.
In GA the tide was applied to the grid to correct for tidal variations and velocity corrections were performed to correct for different artefacts and mismatches.
9. The processed data was finally exported as grids soundings or false coloured images for presentation and reporting and as final processed data in in ASCII XYZ as well as geotif formats at the optimum resolution the data can provide.
10.Using CARIS Base editor 4.0 the grids were exported as ESRI ASCII grid, then imported into ARC catalogue/info to create a raster file for the entire survey as well as Google Earth KMZ.

Notes

Purpose
Not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia

Created: 06 2018

Issued: 25 06 2018

Data time period: 2015-05-23 to 2015-05-23

This dataset is part of a larger collection

Click to explore relationships graph

115.7,-33.67 115.7,-33.25 114.99,-33.25 114.99,-33.67 115.7,-33.67

115.345,-33.46

text: westlimit=114.99; southlimit=-33.25; eastlimit=115.7; northlimit=-33.67

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