The RadWaste, or Radioactive Waste Site identification Project, is a Department of Industry (D.o.I.) project, with the objective of locating and securing a national storage site suitable for the long-term storage of low-level and medium-level radioactive waste. The Radioactive Waste Site identification Application allows users to locate and geospatially identify the land they wish to nominate for assessment and then capture the location coordinates. The application no longer includes any system smarts such as weightings and suitability rankings or reporting functionality. The RadWaste applications are based upon the existing CIAP application framework and architecture.

The GA Animator Software is a tool used to create high quality fly-through animations of geoscience data for internal and external stakeholders. It is build using the NASA World Wind Java SDK, as a companion tool to the publicly available 3D Data Viewer.

The intended use for this application is to provide spatial discoverability for the Offshore well and seismic datasets within National Offshore Petroleum Information Management System (NOPIMS). This web service within this application is NOPIMS_Offshore_Well_and_Seismic_Discovery will also require to be made into a product. It will display the NOPIMS Offshore Well and Seismic surveys. The data does not provide the actually surveys only the spatial location of what survey can be requested. The wells layer consists of drilling surveys. The 2D seismic survey is conducted along lines and produces a single vertical profile. The 3D seismic survey is conducted over and area and produces a 3D subsurface model.

Background Explorer is a Geoscience Australia (GA) application, which was sponsored by the Department of Industry (DoI), commencing in 2012. Explorer is a comprehensive and powerful modern web-based decision support tool utilising high quality data products to aid information discovery, visualisation and the modelling of planning and development scenarios using the best available data. Originally developed as a pipeline planning decision support system, Explorer continues to break new ground providing visualisation and decision support for a disparate-range of infrastructure, planning and modelling needs, across government and industry alike. Relevance Explorer provides the ability for government planners, regulators, investors and industry proponents to drill down into specific areas and analyse location information about the geography, infrastructure, geology, resources and the investment potential of Australia. Explorer currently utilises modelling techniques such as multi-criteria analysis for: 1) least cost path route selection and assessment for major infrastructure such as pipelines, roads, rail and transmission lines; and 2) can be further enhanced to identify and assess critical infrastructure location options for infrastructure such as, power stations, airports, ports, renewable energy facilities and water catchment reservoirs. First-pass planning & analysis and delivery of investment opportunities information Explorer brings national and local scale data together from multiple sources with a powerful visualisation capability, in an intuitive interface. Originally designed to provide linear infrastructure first-pass planning, Explorer has been successfully adapted to provide capabilities for investment opportunity analysis, including; economic fairways modelling, offshore marine and fisheries decision support, infrastructure planning and natural hazards modelling. What if analysis The tools provided by Explorer allow the creation of optimal routes or locations for future infrastructure what if modelling tasks, taking into account factors such as terrain, geology, land use restrictions and natural hazards such as flood and earthquake zones. The what-if modelling functionality can be equally applied to future development and investment planning tasks, using appropriate data to provide an overview of the proposed development and investment potential of a geographic region or defined area. Evidenced-based Modelling outputs and planning scenarios are supported by decision support documentation, automatically generated by Explorer. Data provenance including metadata records are provided as evidence of the data and modelling algorithms used, giving complete transparency to the modelling task. Collaborative platform Explorer provides a collaborative workspace, enabling users to create secure projects, where access can be limited to those individuals selected by the project initiator. Future capabilities will allow the saving of sessions within the project workspace. Secure data Explorer is a secure platform allowing users to access predefined data layers and their own data for modelling and assessment purposes. Restricted datasets and modelling outputs are stored securely and access locked down to authorised users only.

iTimescale app software

A git code repository container for Earth Observation tools. An example tool is the DatasetDrivers construct for automatic retrieval of imagery & metadata.

The Gippsland Basin is a premier hydrocarbon producing province, however exploration efforts in recent years were only met with limited success. New discoveries and extensions to existing ones were recorded along the northern basin flank, while the entire eastern, deeper water part of the basin remains underexplored to the present day. In order to address these questions Geoscience Australia has embarked on a petroleum systems modelling study to better understand the burial history of key horizons in the Gippsland Basin and its influence on changes in temperature, porosity, permeability and fluid migration. APPEA Conference 2014

The MTPy Python library is open source software that aims to facilitate processing, analysis, modelling, and inversion of magnetotelluric (MT) data. Until recently, MTpy has contained bugs and gaps in both functionality and documentation, which have limited its use to date. We are developing MTPy to rectify these problems and expand functionality. Key improvements include adding new functions and classes to the modules that handle ModEM inputs and outputs, improving data and model visualization tools, refactoring the code to improve maintainability, quality, and consistency, and developing documentation.

A live linked-data API that expresses the AusPIX DGGS cells as a database of defined locations , describes the location attributes and maps the each cell onto a landing page . Their are billions of these cells so it is built as a virtual data-base where the AusPIX engine calculates information as required. Human readable and machine readable infrastructure.

No abstract available