GEODATA TOPO 250K Series 3 is a vector representation of the major topographic features appearing on the 1:250,000 scale NATMAPs. Data is arranged within specific themes. All data is based on the GDA94 coordinate system. The 250K transport data used in the National Map base map are seamless national datasets and cover the whole of Australia. The transport datasets have been updated since the GEODATA TOPO 250K Series 3 release.

The Bushfire and Natural Hazards CRC are funding the preparation of an exposure information modelling framework to identify fundamental information requirements for better evidence based disaster management. The framework will underpin the development of a comprehensive natural hazards exposure information base to assist in reducing the natural hazards risk to communities. Implementation of the framework will help to understand the exposure of people, buildings, businesses and infrastructure to natural hazards. Current exposure information provision capabilities have been reviewed to identify key issues, needs, gaps, overlaps and deficiencies. A stakeholder engagement workshop was convened to identify future information needs and to understand the trends by aligning with broader framework objectives of the National Emergency Risk Assessment Guidelines. The following are four different components of built environment exposure identified through extensive reviews and stakeholder consultation for endorsement. Information on population o remoteness, density, mobility, socio-economic status, age profile, disability status, indigenous and ethnic composition and proportion of floating and tourist population o time dependence of population, population evacuation speed, information on factors that influence human risk perception and information on existing network organisations and community groups are important for exposure information modelling. Information on Buildings o building type, code/standard, age, location, location by the exposure categories o number of storeys, floor height, elevation, orientation, façade coverage and material use o ancillary buildings Information on infrastructure o roads, bridges, airports and seaports; power distribution networks; underground water supply networks o lifeline and connected infrastructure. Information on business and land use o location of operations, type, employment, turnover, size, value and costs o primary industry agriculture, horticulture, cattle o ecological inventory, land use The collective views of data managers, researchers and end users have informed the basis for exposure information requirements to develop a consistent, standardised exposure information framework that will support vulnerability assessments for disaster risk reduction and socio-economic impact analysis.

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.

The dataset contains spatial locations, in point format, of the Australian High Court, Australian Federal Courts and the Australian Magistrates Courts.

This point dataset contains the Australian Coastal Maritime Navigation Aids including 'traditional-type' lighthouses and the newer solar powered automated lights.

This point dataset contains the major desalination plants in Australia.

Due to licence restrictions on the National Electricity Transmission Substations dataset, the metadata statement is the only information available for release. For further information contact clientservices@ga.gov.au The dataset held by GA contains the spatial locations for Electricity Transmission Substations in Australia in point format as a representation of the substation features.

Due to licence restrictions on the National Electricity Transmission Lines dataset, the metadata statement is the only information available for release. For further information contact clientservices@ga.gov.au This dataset contains the high voltage electricity transmission lines that make up the electricity transmission network in Australia .

<b> Removed from distribution 30/09/2020 on advice of Barry New</b> This point dataset contains the major ports in Australian waters that include infrastructure facilities where maritime vessels have the ability to load and unload commodities.

This point dataset contains the air traffic services centres in Australia.