Upgrade for software package for geochemical modelling released in 1999. Available from OEMD on request to Evgeniy Bastrakov (a password is set for a particular user).

No abstract available

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PLEASE NOTE: There is a more recent version of this product which can be accessed via the link on the right hand pane. It has been widely recognised that Light Detection And Ranging (LiDAR) data is a valuable resource for estimating the geometry of natural and artificial features. While the LiDAR point cloud data can be extremely detailed and difficult to use for the recognition and extraction of three dimensional objects, the Digital Elevation Model and Digital Surface Model are useful for rapidly estimating the horizontal extent of features and the height variations across those features. This has utility in describing the characteristics of buildings or other artificial structures. LiDAR is an optical remote sensing technology that can measure the distance from the sensor to a target area by illuminating the target area with light, often using pulses from a laser scanner. LiDAR has many applications in a broad range of fields, including aiding in mapping features beneath forest canopies, creating high resolution digital elevation and surface models. A Digital Surface Model (DSM) represents the earth's surface and includes all objects on it, while the Digital Elevation Model (DEM) represents the bare ground surface without any natural or artificial objects such as vegetation, structures and buildings. The Building Geometry Model (BGM) application is a Python-based software system, used to execute ArcGIS geoprocessing routines developed by Geoscience Australia, which can derive the horizontal and vertical extents and geometry information of building and other elevated features from LiDAR data. The Building Geometry Model algorithms were developed in response to the availability of LiDAR data for the development of exposure information for natural hazard risk analysis. The LiDAR derivatives were used to estimate building footprint areas, inter-storey heights across areas occupied by buildings, and eventually an estimate of gross floor area of different types of buildings. The design and development of the BGM application started in February 2012 as part of a natural hazard risk analysis project in the Philippines. Many of the examples of interface usage in this document contain references to locations and terms used in the Philippines. However, the BGM application has been designed to process data regardless of its geographic location. The object-oriented programming techniques and design patterns were used in the software design and development. In order to provide users with a convenient interface to run the application on Microsoft® Windows, a Python-based Graphical User Interface (GUI) was implemented in March 2012 and significantly improved in the subsequent months. The application can be either run as a command-line program or start via the GUI. The BGM application is currently benchmarked as Version 1.0 as it is still under development. This document is a user guide to the BGM GUI. It describes the main User Interface (UI) components, functionality and procedures for running the BGM processes via GUI.

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.

The physical properties of non-porous basement rocks are directly related to the mineralogy of those rocks. The MineralMapper3D software package originally developed by Nick Williams at the Predictive Mineral Discovery Cooperative Research Centre (pmd*CRC), Geoscience Australia, uses the physical properties of minerals to provide bounds on estimates of the abundance of specified minerals in non-porous basement rocks. This approach is applicable to both estimates of density and magnetic susceptibility derived from 3D inversions of gravity and magnetic data as well as physical measurements on specimens or down-hole derived physical properties.

Software to calculate the Australian Geomagnetic Reference Field, a regional geomagnetic field model for the Australian region for the period 1995 to 2005

No abstract available

iTimescale app software

This software suite has been under development since 1969 and is stored as a file system under /nas/pmd/prg/. It consists of source code for geophysical software written for processing tasks which cannot be accomplished using commercially licensed software accessible to GA. The majority of this software is written in Fortran, Perl, Python, awk and Visual Basic programming languages designed to run on Unix, Linux, Windows and Vax/VMS operating systems. At the date of this entry the collection has 1390 inventoried computer programs and 263,000 lines of code. The source code contains standardised headers following guidelines developed by GA's Programmer User Group (and fits with ISO 19115), and this allows the collection to be discovered and delivered via a web-based seach tool (see links). Current contributors are listed as authors of this metadata entry, however past employees and others are noted with the standard author header for each item of software.