The Australian Bathymetry and Topography web service includes the topography of Australia and the bathymetry of the adjoining Australian Exclusive Economic Zone. The area selected does not include data from Australia's marine jurisdiction offshore from the Territory of Heard and McDonald Islands and the Australian Antarctic Territory. The 2009 bathymetry data were compiled by Geoscience Australia from multibeam and single beam data, and along with the topography (onshore) data, was derived from multiple sources. As per the 2005 grid, the 0.0025 dd resolution is only supported where direct bathymetric observations are sufficiently dense (e.g. where swath bathymetry data or digitised chart data exist) (Webster and Petkovic, 2005). In areas where no sounding data are available (in waters off the Australian shelf), the grid is based on the 2 arc minute ETOPO (Smith and Sandwell, 1997) and 1 arc minute ETOPO (Amante and Eakins, 2008) satellite derived bathymetry. The topographic data (onshore data) is based on the revised Australian 0.0025dd topography grid (Geoscience Australia, 2008), the 0.0025dd New Zealand topography grid (Geographx, 2008) and the 90m SRTM DEM (Jarvis et al, 2008).

This service is for the 'OZTemp Interpreted Temperature at 5km Depth' image of Australia product. It includes an interpretation of the crustal temperature at 5km depth, based on the OZTemp bottom hole temperature database and additional confidential company data.

This service includes well geothermal temperature and location, extracted (from the OZTemp database), and used to create the 'OZTemp Interpreted Temperature at 5km Depth' image of Australia.

3D seismic survey polygon area. The data within this layer only contains high level information regarding the individual surveys, not the actual survey. NOPIMS data is supplied by the petroleum industry. NOPIMS data is only offshore petroleum that belongs to the Commonwealth. A two dimensional (3D) seismic survey is a method of exploration used to capture seismic data beneath Earth's surface. 3D seismic provides continuous information of the subsurface within the extent of the survey. transect line of information in the survey. This method sends energy waves into the Earth to detect changes in the subsurface geology. The rock formations in the subsurface geology reflect the waves back to detector, where they are captured over the desired timeframe and converted into a seismic image. Depending on the age the survey was conducted will depend on the method used to capture the information. Older records more likely used explosives to capture seismic data whereas newer surveys use compressed air.

As part of the 2018 National Seismic Hazard Assessment (NSHA), we compiled the geographic information system (GIS) dataset to enable end-users to view and interrogate the NSHA18 outputs on a spatially enabled platform. It is intended to ensure the NSHA18 outputs are openly available, discoverable and accessible to both internal and external users. This geospatial product is derived from the dataset generated through the development of the NSHA18 and contains uniform probability hazard maps for a 10% and 2% chance of exceedance in 50 years. These maps are calculated for peak ground acceleration (PGA) and a range of response spectral periods, Sa(T), for T = 0.1, 0.2, 0.3, 0.5, 1.0, 2.0 and 4.0 s. Additionally, hazard curves for each ground-motion intensity measure as well as uniform hazard spectra at the nominated exceedance probabilities are calculated for key localities.

This web service displays potential port locations for hydrogen export. This data is directly referenced to ‘The Australia Hydrogen Hubs Study – Technical Study’ by ARUP for the COAG Energy Council Hydrogen Working Group, 2019’.

This web service features Australian hydrogen projects that are actively in the investigation, construction, or operating phase, and that align with green hydrogen production methods as outlined in Australia's National Hydrogen Strategy. The purpose of this dataset is to provide a detailed snapshot of hydrogen activity across Australia, and includes location data, operator/organisation details, and descriptions for all hydrogen projects listed.

<b> This service will be decommissioned on 10/10/2024. The replacement service (with changes) is located at https://services.ga.gov.au/gis/rest/services/NEXIS_Residential_Dwelling_Density_v15/MapServer/</b> NEXIS (National Exposure Information System) Residential Dwelling Density web service is a set of four raster layers representing the density of residential dwellings across Australia at different scales and resolutions.

Geoscience Australia and Monash University have produced a series of renewable energy capacity factor maps of Australia. Solar photovoltaic, concentrated solar power, wind (150 m hub height) and hybrid wind and solar capacity factor maps are included in this web service. Solar Photovoltaic capacity factor map The minimum capacity factor is <10% and the maximum is 25%. The map is derived from Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Concentrated Solar Power capacity factor map The minimum capacity factor is 52% and the maximum is 62%. The map is derived from Bureau of Meteorology (2020) data. Minimum exposure cut-off values used are from International Renewable Energy Agency (2012) and Wang (2019). The scientific colour map is sourced from Crameri (2018). Wind (150 m hub height) capacity factor map The minimum capacity factor is <15% and the maximum is 42%. The map is derived from Global Modeling and Assimilation Office (2015) and DNV GL (2016) data. The scientific colour map is sourced from Crameri (2018). Hybrid Wind and Solar capacity factor maps Nine hybrid wind and solar maps are available, divided into 10% intervals of wind to solar ratio (eg. (wind 40% : solar 60%), (wind 50% : solar 50%), (wind 60% : solar 40%) etc.). The maps show the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum and maximum capacity factors vary relative to a map’s specified wind to solar ratio. A wind to solar ratio of 50:50 produces the highest available capacity factor of 64%. The maps are derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Disclaimer The capacity factor maps are derived from modelling output and not all locations are validated. Geoscience Australia does not guarantee the accuracy of the maps, data, and visualizations presented, and accepts no responsibility for any consequence of their use. Capacity factor values shown in the maps should not be relied upon in an absolute sense when making a commercial decision. Rather they should be strictly interpreted as indicative. Users are urged to exercise caution when using the information and data contained. If you have found an error in this dataset, please let us know by contacting clientservices@ga.gov.au.

The Major Crustal Boundaries web service displays the synthesized output of more than 30 years of acquisition of deep seismic reflection data across Australia, where major crustal-scale breaks have been interpreted in the seismic reflection profiles, often inferred to be relict sutures between different crustal blocks. The widespread coverage of the seismic profiles now provides the opportunity to construct a map of major crustal boundaries across Australia.