Geoscience Australia contracted an airborne electromagnetic (AEM) survey over the Frome Embayment, South Australia, under the Australian Government's Onshore Energy Security Program. The Frome AEM survey was acquired using the Fugro Airborne Surveys (FAS) TEMPEST fixed wing time-domain electromagnetic (TEM) AEM system. The acquisition and processing of data were carried out by FAS under contract to Geoscience Australia. The Frome AEM survey consists of 32 300 line km, covering a total area of 95 000 km2 and was flown between 19 May and 2 November 2010. The survey was designed to deliver reliable, pre-competitive AEM data and scientific analysis of the energy resource potential of the Frome region of South Australia, including the flanks of the Northern Flinders Ranges, the Frome Embayment, the Olary Ranges and the northwestern Murray Basin. The survey data may also be used as an input to groundwater studies in the region. This presentation was given at a Frome AEM Workshop in Adelaide - November 2011.

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 0.0025 decimal degree (dd) resolution raster grids format and ascii text file. The dataset covers the Vlaming sub-basin in the Australian continental EEZ. This dataset supersedes previous predictions of sediment gravel, mud and sand content for the basin with demonstrated improvements in accuracy. Accuracy of predictions varies based on density of underlying data and level of seabed complexity. Artefacts occur in this dataset as a result of insufficient samples in relevant regions. This dataset is intended for use at the basin scale. The dataset may not be appropriate for use at smaller scales in areas where sample density is insufficient to detect local variation in sediment properties. To obtain the most accurate interpretation of sediment distribution in these areas, it is recommended that additional samples be collected and interpolations updated.

The Dynamic Land Cover Dataset of Australia is the first nationally consistent and thematically comprehensive land cover reference for Australia. It is the result of a collaboration between Geoscience Australia and the Australian Bureau of Agriculture and Resource Economics and Sciences, and provides a base-line for identifying and reporting on change and trends in vegetation cover and extent. The dataset comprises digital files of the land cover classification, three trend datasets showing the change in behaviour of land cover across Australia for the period 2000 to 2008 and a digital copy of the technical report.

The processing, interpretation and mapping of slicks offshore of the South West Margins using ten ERS satellite radar scenes and four Radarsat scenes has been completed successfully. All slick interpretations have been attributed with a hydrocarbon likelihood Level ranging from Level 2 to Level 4 with Level 2 being the most likely. Given the absence of actual field data, no Level 1 slicks have been mapped (see Glossary of Slick and Other Interpretations, p3 below). For all the fourteen scenes interpreted and mapped, there is only one Level 2 slick. This significant slick is located on the western edge of scene ERS 2 WO 01907-01 Orbit 5883. No locations have been provided of the sources of mapped slicks. Although an approximate point source would normally be provided for Level 2 slicks, the only Level 2 slick mapped (as above) is not complete as it is on the edge of the image (and presumably would continue on to an adjacent image acquired at the same time if it were available) and given the depth to sea floor of between 2,500m to 3,000m, it is not possible to provide a point source. Likewise, while an approximate point source would normally be provided for Level 3 slicks, given the depth to sea floor in the locations of the two Level 3 slicks mapped (same scene as for the Level 2 slick) of between 2,500m to 5,500m, it is not possible to provide a point sources. As per normal, Level 4 slicks are not provided with a source point. Many of the Level 4 slicks are located along the coastline in or near to the surf break zone (some possibly adjacent to rocky outcrops) and as such are regarded as false slicks as they most likely relate to differences in sea surface conditions and not to the formation of hydrocarbons.

Induction conductivity data, commonly referred to as conductivity logs, were acquired from nineteen boreholes during September 2008 in support of the Paterson airborne electromagnetic (AEM) survey, described in Roach (2010). The geophysical investigations were designed to deliver reliable, pre-competitive AEM data and scientific analysis of the energy resource potential of the Paterson region of Western Australia. The Paterson AEM survey was the first regional AEM survey conducted in the Onshore Energy Security Program (OESP) at Geoscience Australia (GA). The survey was flown by Fugro Airborne Surveys Pty. Ltd. (FAS), for Geoscience Australia, as a combined TEMPESTTM time-domain electromagnetic (TEM) and magnetic survey between the 10th of September 2007 and the 28th of October 2008. The Paterson AEM survey covers a total area of 49 000 km2 in the Paterson region of Western Australia. Induction conductivity log data were acquired from the boreholes across a number of widespread, different geological units within the Paterson AEM survey area. The conductivity logs were used to assist in generating reference models for geophysical inversions of the AEM data, as well as for assessing the results of the inversions as an independent dataset.

No abstract available

The South Australia Geoscientific Geographic Information System is a state wide integration of geological, geophysical, geochemical and cultural data. It provides the Geological Survey, Minerals & Energy Division, PIRSA, with its primary mechanism for distributing regional geoscientific information for exploration and research, via digital media. Datasets in this package are projected in Universal Transverse Mercator (UTM) Map Grid of Australia (MGA) coordinates relative to GDA94. The datasets are split into the three grid zones 52, 53 and 54, which span South Australia.

This 2 CD package contains the January 2002 edition of the Australian bathymetry and topography grid at 0.01 deg (~1 km) cell size. Both binary and ASCII formats are included, suitable for most common image processing and GIS applications. The topography is from Geoscience Australia's (formerly AUSLIG's) 2nd edition digital elevation model for Australia. It is included for continuity with bathymetric features. The bathymetry is from digitised charts obtained from the Australian Hydrographic Service, swath bathymetry surveys, and other ship-track data of various vintages and navigational accuracy sourced from Geoscience Australia databases. The ship-track data have been levelled to reduce the artefacts due to misties at intersections.

Data package containing an ESRI shapefile and associated comma-separated value table (.csv) of the Pacific islands, including the countries of Cook Islands, Federated States of Micronesia, Fiji, Kiribati, Nauru, Niue, Palau, Papua New Guinea, Republic of Marshall Islands, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu and Vanuatu. The ESRI shapefile contains polygons of the islands and has been adapted from the World Vector Shoreline dataset, with original scale suitability of 1:250,000 (reference: Soluri, E.A. and Woodson, V.A. 1990. World Vector Shoreline. International Hydrographic Review LXVII(1)). See lineage for more information. The .csv file contains tabular data associated with the island polygons. The file has been adapted to suit the purposes of the companion report by Dixon-Jain et al. (2014). The island polygon shapefile and .csv file can be joined using the common UniqueID field. The attribute fields within the .csv file include island hydrogeological and physical characteristics. Relative ratings for component of the potential vulnerability framework are included for the two projection periods (2035-2064 and 2070-2099), for each climate hazard (low rainfall periods and mean sea-level rise). See the field list within lineage in the Data Dictionary for more information on the source of each attribute. The full bibliographic reference for the companion report (catalogue number 79066) is: Dixon-Jain, P., Norman, R., Stewart, G., Fontaine, K., Walker, K., Sundaram, B., Flannery, E., Riddell, A., Wallace, L. 2014. Pacific Island Groundwater and Future Climates: First-Pass Regional Vulnerability Assessment. Record 2014/43. Geoscience Australia, Canberra. http://dx.doi.org/10.11636/Record.2014.043

This data package comprises the data used and developed for the Pacific Island Groundwater and Future Climates: First-Pass Regional Vulnerability Assessment project. The data contained included Original data sourced for the project, Final data produced by the project, MXD's of maps created, and scripts used within the project. Documentation from the project has been stored on TRIM at: Record Number P12/190.