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Geoscience Australia Marine Survey 302: Final Survey Report. by Fugro Robertson Inc, Nov. 2006 - Jan. 2007.

Open Geospatial Consortium (OGC) web services offer a cost efficient technology that permits transfer of standardised data from distributed sources, removing the need for data to be regularly uploaded to a centralised database. When combined with community defined exchange standards, the OGC services offer a chance to access the latest data from the originating agency and return the data in a consistent format. Interchange and mark-up languages such as the Geography Markup Language (GML) provide standard structures for transferring geospatial information over the web. The IUGS Commission for the Management and Application of Geoscience Information (CGI) has an on-going collaborative project to develop a data model and exchange language based on GML for geological map and borehole data, the GeoScience Mark-up Language (GeoSciML). The Australian Government Geoscience Information Committee (GGIC) has used the GeoSciML model as a basis to cover mineral resources (EarthResourceML), and the Canadian Groundwater Information Network (GIN) has extended GeoSciML into the groundwater domain (GWML). The focus of these activities is to develop geoscience community schema that use globally accepted geospatial web service data exchange standards.

Geoscience Australia is supporting the exploration and development of offshore oil and gas resources and establishment of Australia's national representative system of marine protected areas through provision of spatial information about the physical and biological character of the seabed. Central to this approach is prediction of Australia's seabed biodiversity from spatially continuous data of physical seabed properties. However, information for these properties is usually collected at sparsely-distributed discrete locations, particularly in the deep ocean. Thus, methods for generating spatially continuous information from point samples become essential tools. Such methods are, however, often data- or even variable- specific and it is difficult to select an appropriate method for any given dataset. Improving the accuracy of these physical data for biodiversity prediction, by searching for the most robust spatial interpolation methods to predict physical seabed properties, is essential to better inform resource management practises. In this regard, we conducted a simulation experiment to compare the performance of statistical and mathematical methods for spatial interpolation using samples of seabed mud content across the Australian margin. Five factors that affect the accuracy of spatial interpolation were considered: 1) region; 2) statistical method; 3) sample density; 4) searching neighbourhood; and 5) sample stratification by geomorphic provinces. Bathymetry, distance-to-coast and slope were used as secondary variables. In this study, we only report the results of the comparison of 14 methods (37 sub-methods) using samples of seabed mud content with five levels of sample density across the southwest Australian margin. The results of the simulation experiment can be applied to spatial data modelling of various physical parameters in different disciplines and have application to a variety of resource management applications for Australia's marine region.

The Australian National Gravity Database (ANGD) contains over 1.8 million gravity observations from over 2,000 surveys conducted in Australia over the last 80 years. Three processes are required to correct these observations for the effects of the surrounding topography: firstly a Bouguer correction (Bullard A), which approximates the topography as an infinite horizontal slab; secondly a correction to that horizontal slab for the curvature of the Earth (Bullard B); and thirdly a terrain correction (Bullard C), which accounts for the undulations in the surrounding topography. These three corrections together produce complete bouguer anomalies. Since February 2008, a spherical cap bouguer anomaly calculation has been applied to data extracted from the ANGD. This calculation applies the Bullard A and Bullard B corrections. Terrain corrections, Bullard C, have now been calculated for all terrestrial gravity observations in the ANGD allowing the calculation of complete bouguer anomalies. These terrain corrections were calculated using the Shuttle Radar Topography Mission 3 arc-second digital elevation data. The complete bouguer anomalies calculated for the ANGD provide users of the data with a more accurate representation of crustal density variations through the application of a more accurate Earth model to the gravity observations.

Case Study: GeoFrame software helps Geoscience Australia provide quick access to 2D and 3D seismic survey data within newly released license/permit in support of successful Australian Acreage Release bidding rounds

This dataset contains processed and raw backscatter data in matlab format produced by the CMST-GA MB Toolbox from various swath surveys in and around Australian waters.

GeoSciML v3 (www.geosciml.org) and EarthResourceML v2 (www.earthresourceml.org) are the latest releases of geoscience data transfer standards from the IUGS-CGI Interoperability Working Group (IWG). The data standards each comprise a UML model and complex features GML schemas, extending the spatial standards of the Open Geospatial Consortium (OGC), including GML v3.2, O&M v2, and SWE Common v2. Future development of GeoSciML and EarthResourceML will occur under a collaborative IUGS-OGC arrangement. GeoSciML covers a wide range of geological data, including geological units, structures, earth materials, boreholes, geomorphology, petrophysical properties, and sampling and analytical metadata. The model was refactored from a single application schema in version 2 into a number of smaller, more manageable schemas in version 3. EarthResourceML covers solid earth resources (mineral occurrences, resources and reserves) and their exploitation (mines and mining activities). The model has been extended to accommodate the requirements of the EU INSPIRE data sharing initiative, seeing the addition of mineral exploration activity and environmental aspects (ie, mining waste) to the model. GeoSciML-Portrayal is a simple-features GML application schema based on a simplified core of GeoSciML. It supports presentation of geological map units, contacts, and faults in Web Map Services, and provides a link between simple-feature data delivery and more complex GeoSciML WFS services. The schema establishes naming conventions for fields commonly used to symbolize geological maps to enable visual harmonization of map services. The IWG have established a vocabulary service at http://resource.geosciml.org, serving geoscience vocabularies in RDF-SKOS format. Vocabularies are not included in GeoSciML and EarthResourceML, but the models recommend a standard pattern to reference controlled vocabularies using HTTP-URI links. GeoSciML and EarthResourceML have been adopted or recommended as the data exchange standards in key international interoperability initiatives, including OneGeology, the INSPIRE project, the US Geoscience Information Network, and the Australia/NZ Government Geoscience Information Committee.

This dataset contains species identifications of echinoderms collected during survey GA2476 (R.V. Solander, 12 August - 15 September 2008). Animals were collected from the Western Australian Margin with a BODO sediment grab or rock dredge. Specimens were lodged at Museum of Victoria on the 10 March 2009. Species-level identifications were undertaken by Tim O'Hara at the Museum of Victoria and were delivered to Geoscience Australia on the 24 April 2009. See GA Record 2009/02 for further details on survey methods and specimen acquisition. Data is presented here exactly as delivered by the taxonomist, and Geoscience Australia is unable to verify the accuracy of the taxonomic identifications.

Crucial elements for assessing earthquake risk are exposure and vulnerability. In assessing earthquake risk to the Australian built environment we need to know what is exposed to earthquake ground motion and also how vulnerable the exposed infrastructure is to the severity of shaking. While central business district (CBD) buildings make up a relatively small proportion of Australia's built environment their function and the business activity they support is vital to Australia's economy. This paper describes an ongoing effort by the Australian Government to undertake engineering and architectural surveys of buildings within state capital CBDs. With funding from the Attorney-General's Department Geoscience Australia has recently completed a survey of the Melbourne CBD and will complete surveys of the Sydney, Adelaide and Brisbane CBDs this financial year. Survey teams comprise a structural engineer and a GIS operator who populates survey fields on a handheld computer. Approximately 90 survey data fields are incorporated in the template to enable capture of the variety in building features. The fields cover building characteristics that are understood to influence earthquake vulnerability. A summary of the survey activity undertaken to date is presented here along with some examples of the type of data that is being collected.