Geoscience Australia carried out a marine survey on Carnarvon shelf (WA) in 2008 (SOL4769) to map seabed bathymetry and characterise benthic environments through colocated sampling of surface sediments and infauna, observation of benthic habitats using underwater towed video and stills photography, and measurement of ocean tides and wavegenerated currents. Data and samples were acquired using the Australian Institute of Marine Science (AIMS) Research Vessel Solander. Bathymetric mapping, sampling and video transects were completed in three survey areas that extended seaward from Ningaloo Reef to the shelf edge, including: Mandu Creek (80 sq km); Point Cloates (281 sq km), and; Gnaraloo (321 sq km). Additional bathymetric mapping (but no sampling or video) was completed between Mandu creek and Point Cloates, covering 277 sq km and north of Mandu Creek, covering 79 sq km. Two oceanographic moorings were deployed in the Point Cloates survey area. The survey also mapped and sampled an area to the northeast of the Muiron Islands covering 52 sq km. cloates_3m is an ArcINFO grid of Point Cloates of Carnarvon Shelf survey area produced from the processed EM3002 bathymetry data using the CARIS HIPS and SIPS software

Presentation at the National Climate Change Adaptation Research Facility Conference in 2013 (Sydney). This presentation is based on the "Reforming Planning Processes Trial: Rockhampton 2050" report (GeoCat 75085) Potential impacts of climate change present significant challenges for land use planning, emergency management and risk mitigation across Australia. Even in current climate conditions, the Rockhampton Regional Council area is subject to the impacts of natural hazards, such as bushfires, floods, and tropical cyclones (extreme winds and storm surge). All of these hazards may worsen with climate change. To consider future climate hazard within council practices, the Rockhampton Regional Council received funding from the National Climate Change Adaptation Research Grants Program Project for a project under the Settlements and Infrastructure theme. This funding was provided to evaluate the ability of urban planning principles and practices to accommodate climate change and the uncertainty of climate change impacts. Within this project, the Rockhampton Regional Council engaged Geoscience Australia to undertake the modelling of natural hazards under current and future climate conditions. Geoscience Australia's work, within the broader project, has utilised natural hazard modelling techniques to develop a series of spatial datasets describing hazards under current climate conditions and a future climate scenario. The following natural hazards were considered; tropical cyclone wind, bushfire, storm tide, coastal erosion and sea-level rise. This presentation provides an overview of the methodology and how the results of this work were presented to the Rockhampton Regional Council for planning consideration.

We report four lessons from experience gained in applying the multiple-mode spatially-averaged coherency method (MMSPAC) at 25 sites in Newcastle (NSW) for the purpose of establishing shear-wave velocity profiles as part of an earthquake hazard study. The MMSPAC technique is logistically viable for use in urban and suburban areas, both on grass sports fields and parks, and on footpaths and roads. A set of seven earthquake-type recording systems and team of three personnel is sufficient to survey three sites per day. The uncertainties of local noise sources from adjacent road traffic or from service pipes contribute to loss of low-frequency SPAC data in a way which is difficult to predict in survey design. Coherencies between individual pairs of sensors should be studied as a quality-control measure with a view to excluding noise-affected sensors prior to interpretation; useful data can still be obtained at a site where one sensor is excluded. The combined use of both SPAC data and HVSR data in inversion and interpretation is a requirement in order to make effective use of low frequency data (typically 0.5 to 2 Hz at these sites) and thus resolve shear-wave velocities in basement rock below 20 to 50 m of soft transported sediments.

This is the positional data of AGSO's offshore seismic surveys that fall into the area of the project. The line locations for these seismic surveys are from AGSO's Mardat Database. The surveys have been 'clipped' to the project polygon. There are 9 surveys in the one file, they are: 100r97, 116, 119, 130, 163VTT, 165VTT, 165YST, 175BBHR and 98r Each survey has a number of lines attached to them. There is only one vector file: agso_seismic.shp - Line data

Due to extensive cover by Mesozoic and younger sedimentary basins and regolith, the geology of the southern Thomson Orogen is poorly understood. Small outcrops of the Thomson Orogen are exposed along the Eulo Ridge (south Qld) and in the southwest around Tibooburra (NSW). Proximal to these regions the average thickness of cover is estimated to be <200 m, which is within exploration and mining depths. The southern Thomson Orogen is true greenfields' country. Although the mineral potential of the region is largely unknown, the northeastern Thomson Orogen is well mineralised (e.g., Thalanga, Charters Towers), as is the similar-aged Lachlan Orogen to south (e.g., Cadia, Cobar, Tibooburra). In order to attract investment (exploration) into the southern Thomson Orogen, Geoscience Australia, the Geological Survey of Queensland and the Geological Survey of New South Wales have commenced a three-year collaborative project to collect new (and synthesise existing) pre-competitive data. The first year and half of the project will synthesise existing datasets across the state borders to create a revised solid geology map. This map will form the basis of a 3D model (map), which will utilise pre-existing government and industry seismic and drilling data. In support of the 3D map, several programmes of geophysical data acquisition, processing and interpretation will be undertaken. These include: airborne electromagnetic (AEM), broad-band magnetotelluric (MT) and gravity data, amongst others. In order to understand the nature of the cover rocks and their relationship to basement, a surface geochemical survey will also be completed to provide higher resolution infill of the existing National Geochemical Survey of Australia (NGSA) dataset. In addition, the potential mineral systems of the region will be assessed and a gap analysis conducted, with these results and the 3D and cover maps informing a planned drilling programme to be conducted in 2014-15. The drilling methods will be informed by the results of a similar drilling project in the Stavely Zone of western Victoria. Prior to drilling, a series of geophysical experiments will be conducted in the vicinity of the proposed holes to aid selection and improve prediction of expected cover depths. The actual drill holes will test the predictive capacity of the various pre-drilling geophysical experiments - a useful outcome in itself. The recovered core will be analysed with a range of geochemical, geochronological, geophysical and geological techniques. The combined results will be synthesised and integrated into a pre-competitive geoscience data package for exploration investment. Interim products and datasets will be released throughout the project, with the final results delivered to industry in 2016.

CONTROL ID: 1813538 TITLE: 'Big Data' can make a big difference: Applying Big Data to National Scale Change Analyses AUTHORS (FIRST NAME, LAST NAME): Norman Roland Mueller1, Steven Curnow1, Rachel Melrose1, Matthew Brian John Purss1, Adam Lewis1 INSTITUTIONS (ALL): 1. Geoscience Australia, Canberra, ACT, Australia. ABSTRACT BODY: The traditional method of change detection in remote sensing is based on acquiring a pair of images and conducting a set of analyses to determine what is different between them. The end result is a single change analysis for a single time period. While this may be repeated several times, it is generally a time consuming, often manual process providing a series of snapshots of change. As datasets become larger, and time series analyses become more sophisticated, these traditional methods of analysis are unviable. The Geoscience Australia 'Data Cube' provides a 25-year time series of all Landsat-5 and Landsat-7 data for the entire Australian continent. Each image is orthorectified to a standard set of pixel locations and is fully calibrated to a measure of surface reflectance (the 25m Australian Reflectance Grid [ARG25]). These surface reflectance measurements are directly comparable, between different scenes, and regardless of whether they are sourced from the Landsat-5 TM instrument or the Landsat-7 ETM+. The advantage of the Data Cube environment lies in the ability to apply an algorithm to every pixel across Australia (some 1013 pixels) in a consistent way, enabling change analysis for every acquired observation. This provides a framework to analyse change through time on a scene to scene basis, and across national-scale areas for the entire duration of the archive. Two examples of applications of the Data Cube are described here: surface water extent mapping across Australia; and vegetation condition mapping across the Murray-Darling Basin, Australia's largest river system.. Ongoing water mapping and vegetation condition mapping is required by the Australian government to produce information products for a range of requirements including ecological monitoring and emergency management risk planning. With a 25 year archive of Landsat-5 and Landsat-7 imagery hosted on an efficient High Performance Computing (HPC) environment, high speed analyses of long time series for water and vegetation condition are now viable. www.ga.gov.au KEYWORDS: 1906 INFORMATICS Computational models, algorithms, 1988 INFORMATICS Temporal analysis and representation, 1980 INFORMATICS Spatial analysis and representation. (No Image Selected) (No Table Selected) Additional Details Previously Presented Material: Contact Details CONTACT (NAME ONLY): Norman Mueller CONTACT (E-MAIL ONLY): norman.mueller@ga.gov.au TITLE OF TEAM:

This dataset represents the path of the SPOT satellite.

The Australian Government formally releases new offshore exploration areas at the annual APPEA conference. These areas are located across various offshore hydrocarbon provinces ranging from mature basins with ongoing oil and gas production to exploration frontiers. In support of the annual acreage release, Geoscience Australia (GA) provides a variety of technical information with an emphasis on basin evolution, stratigraphic frameworks and overviews of hydrocarbon prospectivity. In recent years, GA's petroleum geological studies have significantly high graded the prospectivity of large underexplored offshore regions such as the Ceduna Sub-basin and the Northern Perth Basin. A new program is now targeting areas that lie adjacent to producing regions with the aim to delineate the occurrence and distribution of petroleum systems elements in less explored or in unsuccessful areas and to provide a comprehensive overview of the regional geological evolution. Updates to the stratigraphic framework and new results from geochemical studies are already available and are used for prospectivity assessments. Furthermore, the Australian government continues to assist offshore exploration activities by providing free access to a wealth of geological and geophysical data.

These colour and greyscale images are digital pictorial representations of a grid of onshore Bouguer Anomaly station values (Bouguer density of 2.67 t/m3) and offshore free air pseudo gravity station values extracted from the World Gravity Image (Sandwell and Smith, 1995). The onshore gravity observations are held in the Australian National Gravity Database (1997). These images contain wavelengths as small as 5000 m. Gravity digital data are available in point located form or as a grid for the Australian continent as a whole or for smaller areas.

These products form part of the exhibition celebrating GA's involvement in the ACT and are produced as part of the ACT centenary.