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This service contains the NATMAP 1:250,000 scale maps, from the NATMAP Digital Maps 2008 DVD. The large scale single mosaic map covers the entire continent, and is based on the Geocentric Datum of Australia 1994 (GDA94) geographic projection. The maps have been revised using a variety of data sources, including SPOT and Landsat satellite imagery, other government agency information and data supplied by private companies and individuals. The original DVD was produced by Geoscience Australia's National Mapping Division and its predecessor, the Australian Surveying and Land Information Group (AUSLIG).
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This web service provides access to gridded data produced by Geoscience Australia from studies of Australian groundwater and hydrogeological systems.
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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.) For all maps the minimum capacity factor is <25% and the maximum is 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.
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This service represents models of the structure and composition of the lithospheric mantle. The service currently delivers grids generated from modelling of the structure and composition of the lithospheric mantle at an Australian continental scale using the LitMod platform.
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This web service provides access to groundwater raster products for the Upper Burdekin region, including: inferred relative groundwater recharge potential derived from weightings assigned to qualitative estimates of relative permeability based on mapped soil type and surface geology; Normalised Difference Vegetation Index (NDVI) used to map vegetation with potential access to groundwater in the basalt provinces, and; base surfaces of basalt inferred from sparse available data.
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This OGC compliant service provides access to magnetotelluric data and associated products, which have been produced by Geoscience Australia’s Magnetotelluric Program. This program includes regional magnetotelluric projects and the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP), a collaborative project between Geoscience Australia, the State and Northern Territory geological surveys, universities, and other research organisations. The data provided in this service comprise resistivity model depth sections and the locations of sites used in these studies.
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The Mineral Potential web service provides access to digital datasets used in the assessment of mineral potential in Australia. The service includes maps showing the potential for sediment-hosted base metal mineral systems in Australia.
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This service is designed to be used within the Carbon Capture and Storage application for a 3D visual representation. It is an elevation service that represents 800m below the Digital Elevation Model (DEM) Shuttle Radar Topography Mission (SRTM) 1 Second over Australian Bathymetry Topography service. This is used as a basic gauge as to determine where CO2 should have enough pressure to be converted into a super fluid.
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This web service provides access to datasets produced by the mineral potential assement of iron oxide-copper-gold (IOCG) mineral systems in the Tennant Creek – Mt Isa region. The mineral potential assessment uses a 2D, GIS-based workflow to qualitatively map four key mineral system components: (1) Sources of metals, fluids and ligands, (2) Energy to drive fluid flow, (3) Fluid flow pathways and architecture, and (4) Deposition mechanisms, such as redox or chemical gradients. For each of these key mineral system components theoretical criteria, representing important ore-forming processes, were identified and translated into mappable proxies using a wide range of input datasets. Each of these criteria are weighted and combined using an established workflow to produce the final map of IOCG potential.
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This service delivers grids for the depth below ground level of base of Cenozoic, Mesozoic, Paleozoic and Neoproterozoic surfaces in the Darling-Curnamona-Delamerian (DCD) region. The surfaces are a product of a layered cover model characterising depth and thickness of key stratigraphic sequences. The model was generated using Loop 3D (https://loop3d.org), an open-source 3D probabilistic geological and geophysical modelling platform, using a selection of depth estimates from AEM interpretation, stratigraphic boreholes and interpretation of depth of magnetisation as inputs.