Pseudocolour image of the ratio between uranium and thorium within the upper 20 centimetres of the ground. Cooler colours indicate lower abundances of uranium relative to thorium and warmer colours represent the opposite. Variations in U2/Th ratio are caused varied mineral compositions in host rocks and soils. This statewide image was generated by merging many individual airborne radiometric surveys.

This layer shows the boundaries of ground gravity surveys acquired by the NSW government. Details on the spacing and age of the gravity station within each project area are in the attributes. The information contained in this publication is based on knowledge and understanding at time of writing (April 2016). Because of advances in knowledge, users are reminded of the need to ensure that information upon which they rely is up to date. The information contained in this publication may not be or may no longer be aligned with government policy nor does the publication indicate or imply government policy.

Geophysics survey data has been reported to the NSW government and released under the requirements of the NSW Mining Act 1992. Contained within this vector file is the location of surveys and acquisition parameters. These surveys use uncommon techniques.

Survey Pegs used to mark out Mineral Claims in the Lightning Ridge and White Cliffs areas of NSW, Australia.

Core library samples that have been scanned by the NSW Hylogger. The HyLogger system acquires information on rock, ore and alteration minerals in drillcore, chips and pulps that are often difficult or impossible for the human eye to interpret correctly. Reflected light from the samples is broken into hundreds of different wavelengths by several spectrometers, allowing the recognition of unique spectral signatures for each mineral. This technology is also used on cores from petroleum and carbon dioxide (CO2) geosequestration wells to obtain mineralogical data that may complement porosity and permeability studies. X-ray diffraction and X-ray fluorescence instruments are used for rapid characterisation of a wide range of geological materials and for validating HyLogger data. The GSNSW offers a number of HyLogger scanning services to industry and academia. Each service requires a level of investment by the client and offers different periods of confidentiality.

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.

Greyscale image of the tilt-angle filter (Tilt) of total magnetic intensity, reduced to the pole (TMI RTP). Darker tones indicate lower values and lighter tones represent higher values. Reduction to the pole filters magnetic anomalies to appear as if the Earth's magnetic field were locally vertical, as at the magnetic pole (assuming all magnetic sources are inductively magnetised). The Tilt filter produces a positive maximum over the centre of a magnetic source and is zero near the edge of the source, and is useful for tracing geological structure below variable depths of cover. Variations in the magnetic field are caused by lithological factors, principally magnetite (and/or pyrrhotite) content. This Statewide image was generated by merging many individual airborne magnetic surveys.

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.

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.