Bathymetry
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Geoscience Australia carried out marine surveys in Jervis Bay (NSW) in 2007, 2008 and 2009 (GA303, GA305, GA309, GA312) to map seabed bathymetry and characterise benthic environments through colocated sampling of surface sediments (for textural and biogeochemical analysis) and infauna, observation of benthic habitats using underwater towed video and stills photography, and measurement of ocean tides and wave generated currents. Data and samples were acquired using the Defence Science and Technology Organisation (DSTO) Research Vessel Kimbla. Bathymetric mapping, sampling and tide/wave measurement were concentrated in a 3x5 km survey grid (named Darling Road Grid, DRG) within the southern part of the Jervis Bay, incorporating the bay entrance. Additional sampling and stills photography plus bathymetric mapping along transits was undertaken at representative habitat types outside the DRG. Family per sample matrix generated by aggregating species level data in JBinfauna_species (25Oct10).xls using the information in JBinfauna_Taxa_info (25Oct10).xls.
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This product is no longer available.
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This product is no longer available.
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This resource contains a slope grid for the greater Darwin Harbour region as part of a baseline seabed mapping program of Darwin Harbour and Bynoe Harbour. This project was funded through offset funds provided by an INPEX-led Ichthys LNG Project to the Northern Territory Government’s Department of Environment and Natural Resources (NTG-DENR) with co-investment from Geoscience Australia (GA) and the Australian Institute of Marine Science (AIMS). The intent of this program is to improve knowledge of the marine environments in the Darwin and Bynoe Harbour regions by collating and collecting baseline data that enable the creation of thematic habitat maps and information to underpin marine resource management decisions. The slope grid was derived from a compilation of multiple surveys undertaken by GA, AIMS and NTG-DENR between 2011 and 2017, including GA0333 (Siwabessy et al., 2015), GA0341 (Siwabessy et al., 2015), GA0351/SOL6187 (Siwabessy et al., 2016), GA4452/SOL6432 (Siwabessy et al., 2017), GA0356 (Radke et al., 2017), and GA0358 and GA0359 (Radke et al., 2018), adding to those from previous surveys GA4425 and GA0333 collected by GA, AIMS, NTG-DENR and Darwin Port Authority. The data is calculated from the bathymetry data. It measures the degree of slope at a local seabed.
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<b>This record was superseded on 30/08/2024 with approval from the Director, National Seabed Mapping as it has been superseded by eCat 140124. </b> This dataset represents the current extent of bathymetry datasets held by AusSeabed as of January 2019. This dataset is live and will continue to be augmented as coverage is supplied from respective AusSeabed partners. Surveys have been conducted by a wide range of organisations and countries, both inside and outside of Australia's EEZ and for various purposes. Each polygon contains metadata describing the nature of data collection, including details of the survey, as well as the principle investigator of the project. Not all surveys are currently available for download; if available, the Data Access URL attribute will indicate how to access the survey data. Polygons are based on a 500m gridding of the survey data, so may not be representative of the true survey extent when viewed at large scale.
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The GMRT-AusSeabed project aims to address the cost associated with processing, merging and reformatting of bathymetric data in marine modelling and management. This will be achieved by adopting and expanding the Global Multi-Resolution Topography Synthesis (GMRT) tool and becoming a local platform node focused on Australia’s region of marine responsibility. The GMRT is operated by Lamont Doherty Earth Observatory and funded by the US National Science Foundation. The implementation of GMRT for Australia is supported by funding from the Australian Research Data Commons (ARDC). One of the main deliverables for the project is a user needs analysis, which will inform the design of the platform. This report presents a summary of the outcomes of the engagement with the ocean and coastal modelling community to ensure the solutions are fit-for-purpose. The initial project plan included a proposal for in-person workshop with the modelling community to establish user requirements, however COVID-19 restrictions were in place during the project and this was not possible. Instead, requirements were gathered from the community via an online survey. An overview of the survey questions and responses is presented in Section 2, while Section 3 provides some further analysis of the results and recommendations for the design of the new platform.
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This dataset contains topographic slope data (in degree) from seabed mapping surveys on the Van Diemen Rise in the eastern Joseph Bonaparte Gulf of the Timor Sea. The survey was conducted under a Memorandum of Understanding between Geoscience Australia (GA) and the Australian Institute of Marine Science (AIMS) in two consecutive years 2009 (GA survey number GA-0322 and AIMS survey number SOL4934) and 2010 (GA survey number GA-0325 and AIMS survey number SOL5117). The surveys obtained detailed geological (sedimentological, geochemical, geophysical) and biological data (macro-benthic and infaunal diversity, community structure) for the banks, channels and plains to investigate relationships between the physical environment and associated biota for biodiversity prediction. The surveys also provide Arafura-Timor Sea, and wider northern Australian marine region context for the benthic biodiversity of the Van Diemen Rise. Four study areas were investigated across the outer to inner shelf. Refer to the GA record 'Methodologies for seabed substrate characterisation using multibeam bathymetry, backscatter, and video data: A case study for the Eastern Joseph Bonaparte Gulf, Northern Australia' for further information on processing techniques applied (GeoCat: 74092; GA Record: 2013/11).
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The Benthic (Topographic) Position Index (Weiss 2001) grid indicates the topographic positions of the cells. Positive TPI values represent locations that are higher than the average of their surrounding (ridges); negative TPI values represent locations that are lower than their surrounding (valleys); TPI values near zero are either flat areas or areas of constant slope. The benthic position index grid was derived from the bathymetry grid of Darwin Harbour. Please see the metadata of the bathymety grid for more details (GeoCat No: 74915). Weiss, A.D., 2001. Topographic position and landforms analysis. In: ESRI international user conference, 9-13 July 2001, San Diego, CA.