Depth contours derived from the NSW Basement Elevation Model.

Pseudocolour image of the percentage of potassium (K%) in the upper 20 centimetres of the ground. Cooler colours indicate lower abundances of potassium and warmer colours represent higher abundances. Variations in potassium values are caused by varied mineral compositions in host rocks and soils. This statewide image was generated by merging many individual airborne radiometric surveys.

The Geological Survey of NSW developed a Seamless Geology of UTM Zone 56 during 2014 as part of a project to develop a seamless vector geology dataset of the best available geological mapping data covering the whole of NSW.The overarching aims of the Statewide Seamless Geology Project were to: (i) compile the different original scales, formats and rock unit naming conventions into a consistent, statewide format; (ii) edge-match the geology across existing map sheets; and (iii) interpret the basement geology under cover. The resulting geodatabase comprises a series of layers which include: (i) solid basement geology; (ii) cover rocks (defined as undeformed and unmetamorphosed); (iii) Mesozoic igneous rocks; and (iv) Cenozoic sedimentary and igneous rocks. The project was divided into 3 major stages corresponding to the UTM zones which divide New South Wales. This dataset includes the seamless geology layers from the NSW portion of UTM Zone 56 (ie.east of 150 degrees longitude to the coast).

Wind farms dataset displays the location of wind farms in NSW. Wind Farms contain wind turbines, which can be up to 200m tall.

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.

The Critical Mineral Analysis Project data set contains the analysis of a representative collection of the Geological Survey of New South Wales (GSNSW) existing rock and analytical powder collections to support the exploration for critical minerals. Existing pulps and powders from whole rock igneous rocks and mine dump samples were submitted for geochemical analysis to ensure the application of modern analytical techniques with significantly improved precision, detection limits for an extended range of trace elements, including the full complement of rare earth elements. Suites of mineral and rock samples from the Economic Rock and Mineral Collection were also selected for analysis from a variety of deposits, deposit types and regions across NSW. These comprise mineralised rocks and drillcore billets, and aggregates of ore minerals.

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.

Pseudocolour image of the concentration of thorium in parts per million within in the upper 20 centimetres of the ground. Cooler colours indicate lower abundances of thorium and warmer colours represent higher abundances. Variations in thorium values are caused varied mineral compositions in host rocks and soils. This statewide image was generated by merging many individual airborne radiometric surveys.

The NSW Mine Reuse project investigated the occurrence of critical metals in mining waste material. It involved a preliminary geochemical and mineralogical characterisation study across multiple metalliferous and coal sites on various waste material types, aiming to identify subsequent secondary prospectivity opportunities. The study was completed in collaboration between the Geological Survey of NSW, the Sustainable Minerals Institute at The University of Queensland, Geoscience Australia and RMIT University. The program consisted of hand-auger drilling and sample collection from various waste sources, including tailings, waste rock, slags, coal rejects and fly ash. Each sample then underwent a 48-element geochemical analysis, with targeted mineralogy and mineral chemistry conducted on selected samples to better understand the distribution of elevated critical elements.

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.