Authors / CoAuthors
Wilson, O.
Abstract
ESRI Grids of available bathymetry within the bounds of proposed Marine Protected Areas in the Antarctic. Interpolated datasets are also included.
Product Type
nonGeographicDataset
eCat Id
75593
Contact for the resource
Custodian
Owner
Custodian
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia
Digital Object Identifier
Keywords
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- Marine MapBathymetry Map
- ( Theme )
-
- bathymetry
- ( Theme )
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- antarctica
- ( Theme )
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- marine park
- ( Theme )
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- marine
- Australian and New Zealand Standard Research Classification (ANZSRC)
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- Environmental Science and Management
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- Published_External
Publication Date
2013-01-01T00:00:00
Creation Date
Security Constraints
Legal Constraints
Status
Purpose
Maintenance Information
notPlanned
Topic Category
oceans
Series Information
Lineage
The Australian Antarctic Division developed a proposal for the establishment of seven Marine Protected Areas (MPAs) located around east Antarctica for the purposes of marine ecosystem conservation. As detailed seafloor morphology is critical to understanding marine ecosystems, this bathymetry compilation for the proposed MPAs was compiled to support the AAD proposal. All bathymetry data available to Geoscience Australia at the time of compilation was used. This included multibeam and singlebeam acoustic data which was verified and processed to ensure the data was as accurate as possible. Processing included sound velocity corrections, navigation verification and the rejection of erroneous data points. Once processed, the data was gridded to 100m resolution and projected into suitable WGS84 UTM zones. The gridded data was exported into several formats to facilitate ease of use. The formats include xyz files, ESRI rasters, geoTIFs, CARISTM image files and soundings.
Parent Information
Extents
[-90.0, -60.0, 0.0, 180.0]
Reference System
Spatial Resolution
Service Information
Associations
Source Information
There is an extensive list of data sources included in the metadata document as part of the downloadable dataset.