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Surveying (incl. Hydrographic Surveying)

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  • Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Lexington Seamount. Ongoing research with this survey data will provide new insights into the detailed geomorphic shape and spatial relationships between adjacent seabed features. This information will be released in future publications to show the potential of how the scale of such seafloor data can be used for predictive habitat modelling when analysed with the biological data overlays.

  • Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Sula Seamount. Ongoing research with this survey data will provide new insights into the detailed geomorphic shape and spatial relationships between adjacent seabed features. This information will be released in future publications to show the potential of how the scale of such seafloor data can be used for predictive habitat modelling when analysed with the biological data overlays.

  • Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Fregetta Seamount. Ongoing research with this survey data will provide new insights into the detailed geomorphic shape and spatial relationships between adjacent seabed features. This information will be released in future publications to show the potential of how the scale of such seafloor data can be used for predictive habitat modelling when analysed with the biological data overlays.

  • Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Calder Seamount. Ongoing research with this survey data will provide new insights into the detailed geomorphic shape and spatial relationships between adjacent seabed features. This information will be released in future publications to show the potential of how the scale of such seafloor data can be used for predictive habitat modelling when analysed with the biological data overlays.

  • Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Kenn Seamount. Ongoing research with this survey data will provide new insights into the detailed geomorphic shape and spatial relationships between adjacent seabed features. This information will be released in future publications to show the potential of how the scale of such seafloor data can be used for predictive habitat modelling when analysed with the biological data overlays.

  • Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Mellish Seamount. Ongoing research with this survey data will provide new insights into the detailed geomorphic shape and spatial relationships between adjacent seabed features. This information will be released in future publications to show the potential of how the scale of such seafloor data can be used for predictive habitat modelling when analysed with the biological data overlays.

  • Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Cassowary Seamount. Ongoing research with this survey data will provide new insights into the detailed geomorphic shape and spatial relationships between adjacent seabed features. This information will be released in future publications to show the potential of how the scale of such seafloor data can be used for predictive habitat modelling when analysed with the biological data overlays.

  • The CSIRO’s Oceans & Atmosphere Shallow Survey Internal Facility (SSIF) was contracted by the Institute for Marine and Antarctic Studies (IMAS) of the University of Tasmania (UTAS) in collaboration with Parks Australia, to undertake a hydrographic survey of the Boags Commonwealth Marine Reserve in the southwestern Bass Strait. This site was surveyed in conjunction with other smaller sites for Petuna Aquaculture, as part of a broader survey campaign. All of the sites covered in this campaign are located in the vicinity of the Hunter Group of Islands, off the north-western coast of Tasmania.

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    Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Calder Seamount. Two classification layers are available for each seamount: 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology This parent record contains links to child records describing collections from seven (7) seamounts: • Fregetta Seamount • Mellish Seamount • Sula Seamount • Lexington Seamount • Kenn Seamount • Calder Seamount • Cassowary Seamount Data from individual seamounts are available through each record, or as a single data package in the 'Online Resources' section of this record.

  • This dataset provides geomorphic features of the Australian Marine Parks (2022). The data was generated 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. Bathymetry data was collated from existing AusSeabed data holdings and compiled into multi-resolution bathymetry mosaics for each Park. All publicly available bathymetry data as at 30th June 2022 was included. The Whitebox tools package in R was used to calculate geomorphometry using the geomorphron function. Prcoessing for each Park was addressed manually, with search distances and slope thresholds adjusted between Parks depending on quality and resolution of bathymetry data, and characteristics of the seafloor. Geomorphons were classified into geomorphic features using the Dove et al (2020) Seabed Morphology Features Glossary. These geomorphic units provide a consistent way to classify the seabed and may be used in combination with visual validation methods to develop benthic habitat maps. Data is supplied as a Web Map Service of geomorphic features overlaid on hillshade for the mapped regions. Data is available for download as a zipped package of geotiffs with accompanying hillshade. ESRI .lyr file and QGIS .sld files are supplied for display in desktop GIS. All Parks with 25% or more bathymetry coverage were included in processing. The table below indicates the Parks included in this data package, and the percent coverage of bathymetry/geomorphic data for each. PARK % COVERAGE Abrolhos 36% Apollo 52% Beagle 35% Boags 31% Bremer 70% Carnarvon Canyon 72% Central Eastern* 47% (41%) Christmas Island* 31% (28%) Cod Grounds 97% Coral Sea* 100% (30%) East Gippsland 96% Eastern Recherche 29% Flinders 30% Franklin 51% Freycinet 40% Gascoyne 53% Geographe 25% Gifford 100% Great Australian Bight 36% Heard & McDonald Islands*† 100% (0%) Hunter 90% Huon 94% Jervis 99% Macquarie Island 45% Mermaid Reef 72% Murray 47% Nelson 58% Ningaloo 54% Norfolk 38% Perth Canyon 98% Solitary Islands 34% South Tasman Rise 54% South-west Corner 46% Tasman Fracture 98% Two Rocks 27% Western Eyre 25% Zeehan 74% * Digital Elevation Models were included in analysis, coverage of surveyed bathymetry indicated in parentheses () † has been included in analysis but is not an Australian Marine Park For glossary of features, see: Dove et al. (2020) A two-part seabed geomorphology classification scheme (v.2); Part 1: morphology features glossary. http://dx.doi.org/10.5281/ZENODO.4075248