Geological Survey of NSW
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This vector contains the boundary and flight lines of Infill Area D. Infill Area D is part of the MinEx Collaborative Research Centre (CRC) Cobar Airborne Electromagnetic (AEM) survey. This survey was a collaboration between the Geological Survey of NSW (GSNSW) and Geoscience Australia. Infill D was funded by Legacy Minerals Pty. Ltd. Regional lines were funded by GSNSW.
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Wind farms dataset displays the location of wind farms in NSW. Wind Farms contain wind turbines, which can be up to 200m tall.
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Hydrogeochemistry is the sampling and analysis of water to test its chemical properties. The chemistry of bore water can provide clues to the properties of the underlying rocks it has flowed through. Hydrogeochemistry data provides useful information about the quality of groundwater and the processes affecting it. The data is useful for landholders and local government agencies in assessing groundwater resources and their suitability for human and animal consumption, and for industry, other government agencies and scientists to assist with targeting and assessment of natural resources in the earth’s crust. The hydrogeochemistry data presented here has been sourced from various entities including the Geological Survey of New South Wales (GSNSW), Water NSW, CSIRO, and Geoscience Australia (GA). GSNSW and GA collect hydrogeochemistry data on a project basis. CSIRO has curated a groundwater hydrochemistry dataset by collating and standardising data from most State and Territory lead water agencies. Data within NSW will be continually added to this dataset as it is collected or acquired by GSNSW in the future. The hydrogeochemistry dataset presented here includes the following data: • Field measurements and laboratory analyses, such as pH, electrical conductivity, and total dissolved solids (TDS, a measure of salinity) • Major and minor ions, such as sodium and calcium • Trace element metals and non-metals, such as gold, silver, copper and zinc • Stable and radioactive isotopes, such as oxygen-18, carbon-14, and sulphur-34 In addition to this, CSIRO has calculated variables such as saturation indices, which are derived from the hydrochemistry measurements. Information for methodologies used by CSIRO, including the saturation indices, is available from the CSIRO Research Publications Repository.
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This layer shows the boundary of the AusLAMP NSW survey and the station locations. Data were acquired by a collaboration between GSNSW and Geoscience Australia. Data were used to create a 3D resistivity model of the crust from 10 km depth to 200 km depth.
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Locations of geotechnical reports, plans and heritage documents compiled from NSW Public Works records. These reports are considered historic records.
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AEM curtains are a set of cross-sections generated using geophysical inversion to convert AEM data to conductivity (m/S) versus depth below surface (m). These data represent the conductivity of soil and rocks to a depth of about 400 m. A pseudocolour-stretch has been applied to the data. Blue represents low conductivity values and red represents high values. The colours vary due to; (1) natural variations in the electrical properties of soils, rocks, minerals and groundwater, (2) man-made structures, radio-transmissions and lightning strike and (3) AEM system artefacts.
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Pseudocolour image of the ratio between uranium and thorium within the upper 20 centimetres of the ground. This image was generated using normalised input grids to avoid ‘divide by zero’ errors. Cooler colours indicate lower abundances of uranium relative to thorium and warmer colours represent the opposite. Variations in U/Th ratio are caused varied mineral compositions in host rocks and soils. This statewide image was generated by merging many individual airborne radiometric surveys.
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This layer shows a depth slice from a 3D resistivity model of the crust derived from an inversion of the AusLAMP NSW long period MT data.
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This layer shows a depth slice from a 3D resistivity model of the crust derived from an inversion of the AusLAMP NSW long period MT data.
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This layer shows a depth slice from a 3D resistivity model of the crust derived from an inversion of the AusLAMP NSW long period MT data.