The Historical Bushfire Boundaries service represents the aggregation of jurisdictional supplied burnt areas polygons stemming from the early 1900's through to 2022 (excluding the Northern Territory). The burnt area data represents curated jurisdictional owned polygons of both bushfires and prescribed (planned) burns. To ensure the dataset adhered to the nationally approved and agreed data dictionary for fire history Geoscience Australia had to modify some of the attributes presented. The information provided within this service is reflective only of data supplied by participating authoritative agencies and may or may not represent all fire history within a state.

These datasets contain legacy data from the decommissioned MapConnect/AMSIS2 application. It contains legacy data for Fisheries, Regulatory, Offshore Minerals and Environment. It is not authoritative and has not been updated since 2006. These datasets contain legacy data found in the Australian Marine Spatial Information System (AMSIS) between 2006 and 2015, with a currency date of 2006. . Users will need to contact the agency responsible for the data to check current validity and spatial precision.

The Historical Bushfire Boundaries service represents the aggregation of jurisdictional supplied burnt areas polygons stemming from the early 1900's through to 2022 (excluding the Northern Territory). The burnt area data represents curated jurisdictional owned polygons of both bushfires and prescribed (planned) burns. To ensure the dataset adhered to the nationally approved and agreed data dictionary for fire history Geoscience Australia had to modify some of the attributes presented. The information provided within this service is reflective only of data supplied by participating authoritative agencies and may or may not represent all fire history within a state.

Wind multipliers are factors that transform regional wind speeds into local wind speeds, accounting for the local effects which include topographical, terrain and shielding influences. Wind multipliers have been successfully utilized in various wind related activities such as wind hazard assessment (engineering building code applications), event-based wind impact assessments (tropical cyclones), and also national scale wind risk assessment. The work of McArthur in developing the Forest Fire Danger Index (FFDI: Luke and McArthur, 1978) indicates that the contribution of wind speed to the FFDI is about 45% of the magnitude, indicating the importance of determining an accurate local wind speed in bushfire hazard and spread calculations. For bushfire spread modeling, local site variation (@ 100 metre and also 25 metre horizontal resolution) have been considered through the use of wind multipliers, and this has resulted in a significant difference to the currently utilized regional '10 metre height' wind speed (and further to the impact analysis). A series of wind multipliers have been developed for three historic bushfire case study areas; the 2009 Victorian fires (Kilmore fire), the 2005 Wangary fire (Eyre Peninsula), and the 2001 Warragamba - Mt. Hall fire (Western Sydney). This paper describes the development of wind multiplier computation methodology and the application of wind multipliers to bushfire hazard and impact analysis. The efficacy of using wind multipliers within a bushfire spread hazard model is evaluated by considering case study comparisons of fire extent, shape and impact against post-disaster impact assessments. The analysis has determined that it is important to consider wind multipliers for local wind speed determination in order to achieve reliable fire spread and impact results. From AMSA 2013 conference

Geoscience Australia has completed a re-development of Sentinel, from the infrastructure that supports the system through to the spatial technology and user-interface. These changes will allow Geoscience Australia to more easily integrate data from different platforms and sources as well as provide additional products through the Sentinel interface. The new Sentinel system was developed in consultation with stakeholders to ensure a close alignment between end-users needs and the services provided by Sentinel. This paper presents the key features of the new Sentinel.

Imagine you are an incident controller viewing a computer screen which depicts the likely spread of a bushfire that's just started. The display shows houses and other structures in the fire's path, and even the demographics of the people living in the area, such as the number of people, their age spread, whether households have independent transport, and whether English is their second language. In addition, imagine that you can quantify and display the uncertainty in both the fire weather and also the type and state of the vegetation, visualising the sensitivity of the expected fire spread and impact to these uncertainties. It will be possible to consider 'what if' scenarios as the event unfolds, and reject those scenarios that are no longer plausible. The advantages of such a simulation system in making speedy, well-informed decisions has been considered by a group of Bushfire CRC researchers who have collaborated to produce a 'proof of concept' for such a system, demonstrated initially on three case studies. The 'proof of concept' system has the working name FireDST (Fire Impact and Risk Evaluation Decision Support Tool). FireDST links various databases and models, including the Phoenix RapidFire fire prediction model and building vulnerability assessment models, as well as infrastructure and demographic databases. The information is assembled into an integrated simulation framework through a geographical information system (GIS) interface. Pre-processed information, such as factors that determine the local and regional wind, and also the typical response of buildings to fire, are linked through a database, along with census-derived social and economic information. This presentation provides an overview of the FireDST simulation 'proof of concept' tool and walks through a sample probabilistic simulation constructed using the tool. Handbook MODSIM2013 Conference

This Geoscience Australia Record documents the scientific analysis undertaken, and results obtained from geodetic monitoring during the Camden Environmental Monitoring Project (CEMP); a collaborative project undertaken with the New South Wales Department of Planning, Industry and Environment. The aim of the CEMP was to determine the environmental impacts, if any, of active coal seam gas extraction projects in New South Wales. Geodetic monitoring, using satellite radar interferometry (InSAR) and Global Positioning System (GPS) measurements, was used to specifically assess if subsidence (downward vertical land movement) is occurring at the Camden Gas Project; at the time the State’s only actively producing coal seam gas project. To address this question, Geoscience Australia undertook a comprehensive InSAR analysis using data sets from three orbiting radar satellites (ALOS, Envisat and Radarsat-2) covering two periods of time (2006 to 2010, and 2015 to 2019). The outputs of this InSAR analysis are vertical and horizontal ground surface displacement and velocity map products, together with a quantification of the uncertainty of these measurements. Furthermore, a new network of 20 ground geodetic monitoring sites was established in May and June 2016 for the purpose of validating measurements made using InSAR. GPS data was collected at these monitoring sites between July 2016 and June 2019 and processed to obtain 3-dimensional ground surface displacement and velocity measurements. From the analysis of independent InSAR and GPS data sets undertaken during the CEMP, we conclude that no measurable subsidence (i.e. a land movement velocity not greater than 10 mm/yr) has occurred as a result of coal seam gas production in the Camden Gas Project during the time periods of monitoring. However, decimetre-scale horizontal and vertical surface movements have occurred in the Southern Coalfields at the locations of subsurface longwall coal mines. Comparison of the measurements made by InSAR and GPS across the 20-site geodetic monitoring network shows that the two independent geodetic techniques agree within 10 millimetres, even when decimetre-scale movement is occurring. This demonstrates the potential for utilising InSAR for accurate remote monitoring of ground surface movements (including subsidence) at large scales and in the absence of sufficient ground geodetic monitoring infrastructure. The conclusions drawn and the measurements made in this work are specific to the area covered by the CEMP geodetic monitoring project, and are therefore not applicable to other resource extraction activities in other areas because of operational and geological differences from site to site. However, the methods described herein would be applicable to monitoring other resource extraction activities.

This South Australian Gulf and Yorke Cenozoic Basins dataset contains descriptive attribute information for the areas bounded by the relevant spatial groundwater feature in the associated Hydrogeology Index map. Descriptive topics are grouped into the following themes: Location and administration; Demographics; Physical geography; Surface water; Geology; Hydrogeology; Groundwater; Groundwater management and use; Environment; Land use and industry types; and Scientific stimulus. The South Australian Gulf and Yorke Cenozoic basins consist of eleven separate basins with similar sediments. These relatively small to moderate-sized basins overlies older rocks from the Permian, Cambrian, or Precambrian periods and are often bounded by north-trending faults or basement highs. The largest basins, Torrens, Pirie, and Saint Vincent, share boundaries. The Torrens and Pirie basins are fault-bounded structural depressions linked to the Torrens Hinge Zone, while the Saint Vincent basin is a fault-bounded intra-cratonic graben. Smaller isolated basins include Carribie and Para Wurlie near the Yorke Peninsula, and Willochra and Walloway in the southern Flinders Ranges. The Barossa Basin, Hindmarsh Tiers, Myponga, and Meadows basins are in the Adelaide region. These basins resulted from tectonic movements during the Eocene Australian-Antarctic separation, with many forming in the late Oligocene. Sediment deposition occurred during the Oligocene to Holocene, with various environments influenced by marine transgressions and regressions. The well-studied Saint Vincent Basin contains diverse sediments deposited in fluvial, alluvial, deltaic, swamp, marine, littoral, beach, and colluvial settings, with over 30 major shoreline migrations. Eocene deposition formed fluvio-deltaic lignite and sand deposits, before transitioning to deeper marine settings. The Oligocene and Miocene saw limestone, calcarenite, and clay deposition, overlain by Pliocene marine sands and limestones. The uppermost sequences include interbedded Pliocene to Pleistocene limestone, sand, gravel, and clay, as well as Pleistocene clay with minor sand lenses, and Holocene to modern coastal deposits. The sediment thickness varies from less than 50 m to approximately 600 m, with the Saint Vincent Basin having the most substantial infill. Some basins were previously connected to the Saint Vincent Basin's marine depositional systems but later separated due to tectonic movements.

<b>Legacy service Retired 29/11/2022 IMPORTANT NOTICE: </b>This web service has been deprecated. The Australian Onshore and Offshore Boreholes OGC service at https://services.ga.gov.au/gis/boreholes/ows should now be used for accessing Geoscience Australia borehole data. This is an Open Geospatial Consortium (OGC) web service providing access to Australian onshore and offshore borehole data. This web service is intended to complement the borehole GeoSciML-Portrayal v4.0 web service, providing access to the data in a simple, non-standardised structure. The borehole data includes Mineral Drillholes, Petroleum Wells and Water Bores along with a variety of others types. The dataset has been restricted to onshore and offshore Australian boreholes, and bores that have the potential to support geological investigations and assessment of a variety of resources.

Publicly available baseline ecology data are compiled to provide a common information base for environmental, resource development and regulatory decisions in the Cooper Basin region. This web service summarises existing knowledge of the ecosystems and environmental assets in the Cooper Basin region.