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geoscientificInformation

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    The Tasman Fracture Commonwealth Reserve complements the Port Davey Marine Reserve (encompassing Port Davey, Bathurst Channel and Bathurst Harbour), which was proclaimed by the Tasmanian Government in 2005. It spans the continental shelf, continental slope and deeper water ecosystems south of Tasmania, and is scored by steep canyons. It also encloses other geological features, including steep escarpments and troughs, saddles, basins, and part of a plateau that is over 400 km long and rises up to 3 km above the sea floor. The reserve includes a number of undersea peaks rising to less than 1500 m below the sea surface that provide habitat to deepwater hard corals. These corals provide a structure and habitat for a rich diversity of marine invertebrate animals that live attached corals. This record describes a geomorphology map for the Tasman Fracture CMR that was prepared using bathymetry and backscatter data sourced from CSIRO and Geoscience Australia.

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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.

  • An index of available 1 degree, 10 degree and 30 degree navigational S57 files that the Australian Hydrographic Service (AHS) holds. These were aggregated together to provide an overview for the NESP D3 Reef Project on potential sources of information.

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    Inshore benthic habitat mapping of the Adelaide Mount Lofty Ranges (AMLR), Yorke Peninsula, Eyre Peninsula, Upper Spencer Gulf, Upper Gulf St Vincent, South East and Kangaroo Island as part of a wider DEWNR project to map specific areas of the South Australian inshore environments Habitat boundaries were interpreted from underwater features discernable on ortho-rectified aerial photographs. The data for the Upper Gulf St Vincent and Upper Spencer Gulf were captured between 2005 and 2007. AMLR data was captured between 2008 and 2009. South East data was captured between 2009 and 2010. Field observations and underwater video footage was used to capture the Upper Spencer Gulf and Upper Gulf St Vincent data. The AMLR data was captured from field observations, underwater video footage, acoustic mapping and sidescan sonar. The data sets were combined as part of a DENR Statewide project. Additional data was captured on Kangaroo Island during 2013 which included field observations and Underwater video footage. This data was added by regional staff using an adapted data schema that now includes species specific information.

  • 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. 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°). This classification was applied to the portion of the Beaman and Spinnocia (2018) 30 m grid within the marine park. Beaman, R.J. and Spinoccia, M. (2018). High-resolution depth model for Northern Australia - 30 m. Geoscience Australia. 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 record describes Remotely Operated Vehicle (ROV) imagery collected from within the Gascoyne Marine Park offshore northwestern Australia. The ROV SuBastian was used to conduct imagery transects on 20 dives across 16 stations, including 12 quantitative transects within the Cape Range Canyon. No quantitative transects were conducted in the Cloates Canyon due to delays caused by poor weather. SuBastian is equipped with a Sulis Subsea Z70 deep sea science camera, with 4K UHD 2160p optics and sensors for temperature, depth, conductivity and oxygen. The quantitative transects were run for 500 m upslope, ideally at a speed of 0.3 knots and an altitude of 2 m above the seafloor or rock walls. Still images were acquired every 5 seconds, with additional frames added manually as required. Still images from most transects were primarily annotated onboard using the RV Falkor’s private instance of SQUIDLE+, with some post-survey annotation conducted using the public instance of Squidle+ (http://squidle.org/). See post-survey report for full methodology. http://pid.geoscience.gov.au/dataset/ga/144204

  • Seven case study locations (Keep, Daly, Roper, McArthur, Flinders, and Gilbert River estuaries, and Darwin Harbour) were used to test the utility of the Australian Landsat data archive in the Digital Earth Australia analysis platform for characterising and monitoring the condition and change in coastal habitats. A suite of analyses was undertaken including: assessing the extent of different coastal habitats, detecting coastal change including change in mangrove communities, and the distribution of intertidal areas. The work was successful in: (a) generating baseline information for the case study areas; and, (b) developing valuable monitoring tools for future use.

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    Dataset collected during two field campaigns in the same Antarctic fast ice site (Cape Evans, November/December 2018-19) as part of the AGP and NZARI collaboration over the grant "On Thin Ice: An in situ surveillance system for sea-ice microbial communities". The fieldwork was designed to test the scientific potentials of the IMAS/AGP developed under-ice HI system for mapping temporally dynamic and spatially varying under-ice habitats. The dataset consists of 3 terabytes of HI data acquired both in-situ under a wide range of natural and manipulated light conditions, as well as ex-situ with data acquired using a newly developed ice core scanning approach. The in-situ data are in the form of scanned transects acquired with a HI system capturing transmitted natural sunlight while being deployed beneath sea-ice. The ex-situ data was collected using external light sources illuminating horizontal and vertical sections of extracted ice cores. The dataset includes auxiliary data such as RGB imagery, TriOS RAMSES under-ice irradiance, sky irradiance, and any other measurements or information required to process the data. Other auxiliary data collected include filtered samples of ice core sections for fluorometric Chlorophyll-a (Chl-a) extraction, pigment composition via HPLC (to be processed), and particulate absorption spectra. Media footage (e.g., under-ice ROV videography, under-ice 360 videos, campaign photography of the systems and science) is also included. The dataset includes pre-processed high-resolution under-ice imagery collected from the fast-ice zone using a Sony a6300 camera mounted on a custom under-ice sled system. The imagery was acquired to document the sea-ice underside and analyse spatial patterns associated with amphipod communities from a near-horizontal, grazer-level perspective (publications pending).

  • The state boundary area of the Australia continental shelf (including Lord Howe Island). The coastline is at Lowest Astronomical Tide (LAT) and the shelf break is defined by the 200 m isobath taken from Geoscience Australia's GA 2009 bathymetric dataset.

  • This dataset provides the spatially continuous data of seabed gravel (sediment fraction >2000 µm), mud (sediment fraction < 63 µm) and sand content (sediment fraction 63-2000 µm) expressed as a weight percentage ranging from 0 to 100%, presented in 10 m resolution raster grids format and ascii text file.</p> The dataset covers the eight areas in the Timor Sea region in the Australian continental EEZ.</p> This dataset supersedes previous predictions of sediment gravel, mud and sand content for the basin with demonstrated improvements in accuracy. Accuracy of predictions varies with sediment types, with a VEcv = 71% for mud, VEcv = 72% sand and VEcv = 42% for gravel. Artefacts occur in this dataset as a result of noises associated predictive variables (e.g., horizontal and vertical lines resulted from predictive variables derived from backscatter data are the most apparent ones). To obtain the most accurate interpretation of sediment distribution in these areas, it is recommended that noises with backscatter data should be reduced and predictions updated.</p> This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.