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elevation

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    This dataset contains polygon extents of all known bathymetry surveys and bathymetry compilations in Australia's marine jurisdiction, including the Australian Antarctic Territory. Each polygon includes metadata identifying attributes, contact details, information on the public availability of data, and (in the case of published data) gridded resolution. The following data sources have been used as inputs: • AusSeabed 'Bathymetry Acquisitions Coverage (Dynamic)' (https://dx.doi.org/10.26186/148613) • AusSeabed 'Bathymetry Compilations Coverage (Dynamic)' (https://dx.doi.org/10.26186/148614) • computed footprints (suffixed by _L0_Coverage) of bathymetry data published through AusSeabed Warehouse Geoserver (https://warehouse.ausseabed.gov.au/geoserver) • computed footprints (suffixed by _BBOX) of bathymetry data published through CSIRO Geoserver (https://www.cmar.csiro.au/geoserver) • manually computed footprints of bathymetry data published through other online repositories: WA Bathymetry Portal (https://dot-wa.maps.arcgis.com/apps/webappviewer/index.html?id=d58dd77d85654783b5fc8c775953c69b), the Australian Ocean Data Network (https://portal.aodn.org.au) and the NSW SEED Portal (https://www.seed.nsw.gov.au) This dataset was generated to enable reporting for Seamap Australia's 'State of Knowledge' functionality (https://seamapaustralia.org/map/), as existing coverage information does not contain metadata on gridding resolution. The dataset is live and will be continually updated as new surveys are conducted and new coverage information becomes available. Gridding resolution will be appended to existing survey extents when historical surveys are published. This dataset is updated regularly (date of last update: 23/07/2026) and will be maintained in perpetuity until such time that the information required for Seamap Australia's 'State of Knowledge' functionality is delivered through an alternative mechanism. Note that a degree of spatial simplification has been conducted to reduce filesize and polygon complexity. All efforts have been made to maintain true survey extent (area-preserving simplification has been used), but polygons may not be representative of the true survey extents, particularly in the case of reported extents from unpublished surveys which cannot be verified.

  • 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. Data for download has been split by fishing block (22-24, 27-30). This record describes *FISHING BLOCK 29*. The following data products are available for download, for each fishing block: • 50cm resolution bathymetry • 50cm resolution substrate type (Seamap Australia classification) • bathymetry derivatives (seabed slope, curvature, rugosity, 1 and 2m contours) • water column data - 1m mean signal • water column data - 9m2 raw block statistic • water column data - vegetation likelihood classification See associated records for access to data from other fishing blocks (22, 23, 24, 27, 28, 30).

  • Raised features were derived by aggregating and dissolving the boundaries of the 1 degree S57 file series for the Australian continental shelf and Lord Howe Island shelf (200 m) depicting depth area features. An algorithm was applied to the data that isolated these features from surrounding lower features or plains.

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    Seamounts, elevated seabed features, and bathymetric highs constitute ecologically significant habitats for various marine species, often associated with unique ecosystems and heightened biodiversity. In Australia, the absence of a comprehensive and spatially accurate inventory of these underwater structures has been a notable gap. Existing broad-scale modelling efforts, including the Parks Australia Natural Values Ecosystems (NVE) map (https://seamapaustralia.org/map/#af207808-481a-4648-93d3-4011f2689461), have predominantly relied on coarse, global datasets. These datasets, characterized by low resolution, often fail to incorporate recent bathymetric data, leading to the omission or incorrect identification of features. This work aimed to address these limitations by developing an improved dataset of raised seabed features, specifically designed to enhance broad-scale modelling efforts like those used in the NVE mapping, and in support of the objectives of NESP Marine and Coastal Hub Project 2.3 (https://www.nespmarinecoastal.edu.au/project/2-3/). Seamount features were extracted from a range of data sources (see 'lineage' section of this record) for the area surrounding the Australian continental margin. These were cross-referenced with GEBCO's 2023 global terrain model (15 arc-second interval grid) and any obviously erroneous features removed. This dataset includes all features located inside the Australian Exclusive Economic Zone (EEZ). Rather than cropping exclusively to this boundary, those features falling outside the Aus EEZ but in the approximate vicinity were also retained for context Existing feature boundaries were redigitised for areas in which more recent high-resolution bathymetry was available, utilising the 'Bathymetry of Australian Marine Parks (2024)' compilation dataset and individual survey datasets available through the AusSeabed data portal (https://portal.ga.gov.au/persona/marine). Where available, fine-scale geomorphic mapping in which seamounts and pinnacles had been classified were extracted and merged with the larger-scale features. If fine-scale mapping disagreed with features classified in the broader-scale datasets, the finer-scale data was prioritised. Where multiple features occurred immediately adjacent to each other, the digitised area represents the "footprint" of the features and as such, a single polygon may encompass multiple peaks. Where features could be uniquely identified (eg by a formal name/title), this attribute is included in the dataset.

  • 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. Data for download has been split by fishing block (22-24, 27-30). This record describes *FISHING BLOCK 24*. The following data products are available for download, for each fishing block: • 50cm resolution bathymetry • 50cm resolution substrate type (Seamap Australia classification) • bathymetry derivatives (seabed slope, curvature, rugosity, 1 and 2m contours) • water column data - 1m mean signal • water column data - 9m2 raw block statistic • water column data - vegetation likelihood classification See associated records for access to data from other fishing blocks (22, 23, 27, 28, 29, 30).

  • Categories  

    This dataset is a compilation product of all publicly available surveyed bathymetry within the Australian Marine Parks (AMPs, 2025 boundaries), merged into a single multi-resolution composite per AMP. The data was compiled by Seamap Australia as part of an Our Marine Parks (Parks Australia) project with funding from the Australian Government to improve knowledge relating to classification of the Australian Marine Parks real estate. This compilation of bathymetry data was the first step in generating geomorphometry classifications (see https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/40e9283b-d4ed-4176-8fe6-112b8697003f for derived geomorphometry maps). Bathymetry data was collated from AusSeabed data holdings (https://portal.ga.gov.au/persona/marine), the WA Bathymetry Portal (https://dot-wa.maps.arcgis.com/apps/webappviewer/index.html?id=d58dd77d85654783b5fc8c775953c69b), the Australian Ocean Data Network (https://portal.aodn.org.au/) and other existing public data repositories. A single multi-resolution bathymetry mosaic, and associated multi-resolution hillshade mosaic, was generated for each AMP. Data is supplied as a single Web Map Service of bathymetry on hillshade for the mapped regions. Data is available for download as (1) bathymetry, and (2) hillshade, Cloud-Optimised GeoTIFF (COG) files for each AMP. The table below indicates the Parks included in this data package, and the percent coverage of bathymetric data for each. Parks not expressly listed below had no publicly accessible bathymetry data available from the sources listed in the 'lineage' section below. This dataset was last updated on 28/07/2026 and represents all public bathymetry data intersecting AMPs that could be located as of that date. PARK....................................................% COVERAGE Abrolhos...............................................57% Apollo*.................................................100% (63%) Arafura.................................................47% (13%) Argo-Rowley Terrace............................34% Arnhem.................................................<1% Ashmore Reef*.....................................100% (68%) Beagle*.................................................100% (56%) Boags*..................................................100% (31%) Bremer..................................................71% Carnarvon Canyon...............................82% Cartier Island*......................................100% (9%) Central Eastern*...................................48% (42%) Christmas Island*.................................44% (41%) Cocos (Keeling) Islands*......................23% (20%) Cod Grounds........................................98% Coral Sea*...........................................100% (33%) Dampier................................................61% East Gippsland.....................................100% Eastern Recherche...............................41% Eighty Mile Beach.................................69% Flinders*...............................................36% (32%) Franklin*...............................................100% (51%) Freycinet*.............................................60% (59%) Gascoyne.............................................67% Geographe...........................................25% Gifford*.................................................100% (70%) Great Australian Bight...........................40% Gulf of Carpentaria................................6% Heard & McDonald Islands*†...............100% (3%) Hunter...................................................90% Huon.....................................................95% Jervis...................................................100% Joseph Bonaparte Gulf*......................100% (0%) Jurien...................................................20% Kimberley*...........................................100% (14%) Lord Howe*..........................................16% (14%) Macquarie Island..................................100% (47%) Mermaid Reef.......................................83% Montebello............................................89% Murray..................................................50% Nelson..................................................62% Ningaloo...............................................55% Norfolk..................................................39% Oceanic Shoals*..................................100% (26%) Perth Canyon......................................100% Roebuck..............................................100% Shark Bay............................................16% Solitary Islands....................................100% Southern Kangaroo Island.....................4% South Tasman Rise..............................82% South-west Corner...............................53% Tasman Fracture..................................99% Twilight.................................................1% Two Rocks...........................................34% Wessel..................................................1% West Cape York*..................................100% (11%) Western Eyre........................................27% Western Kangaroo Island.....................6% Zeehan.................................................73% * indicates Digital Elevation Model (DEM) data was included in compilation. Coverage of surveyed (non-modelled) bathymetry is shown in parentheses () † has been included in analysis but is not an Australian Marine Park

  • 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. Data for download has been split by fishing block (22-24, 27-30). This record describes *FISHING BLOCK 28*. The following data products are available for download, for each fishing block: • 50cm resolution bathymetry • 50cm resolution substrate type (Seamap Australia classification) • bathymetry derivatives (seabed slope, curvature, rugosity, 1 and 2m contours) • water column data - 1m mean signal • water column data - 9m2 raw block statistic • water column data - vegetation likelihood classification See associated records for access to data from other fishing blocks (22, 23, 24, 27, 29, 30).

  • Categories  

    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).

  • 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. Data for download has been split by fishing block (22-24, 27-30). This record describes *FISHING BLOCK 23*. The following data products are available for download, for each fishing block: • 50cm resolution bathymetry • 50cm resolution substrate type (Seamap Australia classification) • bathymetry derivatives (seabed slope, curvature, rugosity, 1 and 2m contours) • water column data - 1m mean signal • water column data - 9m2 raw block statistic • water column data - vegetation likelihood classification See associated records for access to data from other fishing blocks (22, 24, 27, 28, 29, 30).

  • 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. Data for download has been split by fishing block (22-24, 27-30). This record describes *FISHING BLOCK 22*. The following data products are available for download, for each fishing block: • 50cm resolution bathymetry • 50cm resolution substrate type (Seamap Australia classification) • bathymetry derivatives (seabed slope, curvature, rugosity, 1 and 2m contours) • water column data - 1m mean signal • water column data - 9m2 raw block statistic • water column data - vegetation likelihood classification See associated records for access to data from other fishing blocks (23, 24, 27, 28, 29, 30).