Conductivity-depth estimates generated using the 1D Geoscience Australia layered earth inversion algorithm (GA-LEI) have been released to the public domain. The GA-LEI has been shown to provide useful mapping of subsurface conductivity features in the Paterson; for example paleovalleys, unconformities and faults. GA-LEI interpretations have been supported by independent borehole conductivity logs, and lithological drill-hole information. The Geoscience Australia Record 2010/12; Geological and energy implications of the Paterson Province airborne electromagnetic (AEM) survey, Western Australia, summarises the AEM processing, inversion, interpretation and implications for mineral exploration using the 1D GA-LEI. There is an inherent assumption in the GA-LEI algorithm that the earth can be represented by a set of 1D layers, which extend to infinite distance in the horizontal plane. This layered earth assumption has some limitations, and has been demonstrated to create artefacts when applied to heterogeneous 3D geological features. 3D inversion methods can potentially overcome some of the limitations of 1D inversion methods, reducing the artefacts of a 1D earth assumption. 3D inversions require much greater computational resources than 1D methods because they have to solve many large systems of equations. In addition, a large sensitivity matrix is computed, which increases memory requirements, and the process must be repeated for multiple iterations. This computational expense has generally limited the application of 3D inversions to AEM datasets, and restricted its practicality as a general mapping tool. The EMVision® inversion generated by TechnoImaging presents a method of running a 3D inversion, with a runtime comparable to 1D inversion methods. The EMVision® algorithm uses a moving footprint to limit the number of data points needed as input to the inversion at any one location. A background conductivity model is chosen to represent the far-field response of the earth, and the data points within the AEM footprint are treated as anomalies with respect to the background. In 2010, Geoscience Australia decided that a comparison of the GA-LEI with the EMVision® inversion would be useful both for geological interpretation and for assessing the benefits of 3D inversion of AEM. A subset of the regional Paterson AEM dataset around the Kintyre uranium deposit was provided to TechnoImaging to create a 3D inversion using EMVision® software. The data subset was a combination of GA data and data owned by Cameco Corporation and the cost of inversion by TechnoImaging was shared by both parties. Under the terms of the agreement between Cameco Corporation and Geoscience Australia there was a moratorium on the data release until 2012.

Sander Geophysics Limited (SGL) conducted a fixed-wing high-resolution gravimetric survey between 23 February and 14 March 2012 over the Kauring airborne gravity test site, Western Australia, for the Victoria State Department of Primary Industries (DPI) as part of the CarbonNet Project. The survey was flown using SGL's airborne gravity system, AIRGrav (Airborne Inertially Referenced Gravimeter). This data package contains located airborne geophysical data (ASCII columns) and gridded airborne geophysical data in ER Mapper grid format (.ers) and Geosoft grid (.gxf) format, a technical report file (PDF) and a licence agreement and explanatory notes file (PDF). The survey was conducted using SGL's Cessna Grand Caravan 208B, registration C-GSGA. Production flights commenced on February 23, 2012 and were completed on March 14, 2012. A total of 16 flights were performed during the survey to complete the planned 3064 line kilometres. The survey operations were conducted from Perth Jandakot airport (YPJT). <b>Copyright retained by 3rd party. Data available for download via a licence agreement.</b>

These data are one of a set of 13 that captures a consistent horizon and fault interpretation of approximately 35 000 km of regional, mostly deep, seismic reflection data recorded by AGSO along the north and northwestern continental margins of Australia between 1990 and 1994.

This series of cross sections and data show the suitablility of the Sydney Basin for storage of carbon dioxide.Cartography file number 07-1825-1.

Geoscience Australia (GA) conducted a marine survey (GA0345/GA0346/TAN1411) of the north-eastern Browse Basin (Caswell Sub-basin) between 9 October and 9 November 2014 to acquire seabed and shallow geological information to support an assessment of the CO2 storage potential of the basin. The survey, undertaken as part of the Department of Industry and Science's National CO2 Infrastructure Plan (NCIP), aimed to identify and characterise indicators of natural hydrocarbon or fluid seepage that may indicate compromised seal integrity in the region. The survey was conducted in three legs aboard the New Zealand research vessel RV Tangaroa, and included scientists and technical staff from GA, the NZ National Institute of Water and Atmospheric Research Ltd. (NIWA) and Fugro Survey Pty Ltd. Shipboard data (survey ID GA0345) collected included multibeam sonar bathymetry and backscatter over 12 areas (A1, A2, A3, A4, A6b, A7, A8, B1, C1, C2b, F1, M1) totalling 455 km2 in water depths ranging from 90 - 430 m, and 611 km of sub-bottom profile lines. Seabed samples were collected from 48 stations and included 99 Smith-McIntyre grabs and 41 piston cores. An Autonomous Underwater Vehicle (AUV) (survey ID GA0346) collected higher-resolution multibeam sonar bathymetry and backscatter data, totalling 7.7 km2, along with 71 line km of side scan sonar, underwater camera and sub-bottom profile data. Twenty two Remotely Operated Vehicle (ROV) missions collected 31 hours of underwater video, 657 still images, eight grabs and one core. This catalogue entry refers to the sub-bottom profiler data acquired by the Fugro supplied AUV system (survey GA-0346).

These data are one of a set of 13 that captures a consistent horizon and fault interpretation of approximately 35 000 km of regional, mostly deep, seismic reflection data recorded by AGSO along the north and northwestern continental margins of Australia between 1990 and 1994.

This dataset contains four-class hardness (i.e., hard-1, hard-soft-2, soft-3 and soft-hard-4) prediction data from seabed mapping surveys on the Van Diemen Rise in the eastern Joseph Bonaparte Gulf of the Timor Sea. This dataset was generated based on hard90 seabed hardness classification scheme using random forest methods based on the point data of seabed hardness classification using video images and multibeam data. Refer to Selecting optimal random forest predictive models: a case study on predicting the spatial distribution of seabed hardness for further information on processing techniques applied [1]. [1] Li, J., Tran, M., Siwabessy, J., 2016. Selecting optimal random forest predictive models: a case study on predicting the spatial distribution of seabed hardness PLOS ONE 11(2) e0149089.

The USB Product is an offline, one off, distribution product for being handed out at the IGARSS conference, containing various digital GA products, including the Common Earth Model and some reports.

in .dxf or .dgn format

This data package includes all the Australian state and territory 1:1,000,000 scale surface geology digital datasets. For further information, see the following product catalog numbers: New South Wales - 65529 Northern Territory - 65048 Queensland - 65530 South Australia - 65199 Tasmania - 65531 Victoria - 65532 Western Australia - 65829