South Australian regional radiometric images, 2024
Created: 18 Mar 2025 Revised: 27 Mar 2025

State radiometric concentration grids were created by merging the data recorded across many airborne radiometric surveys. This was an update to previous State grids to include recent surveys such as the extensive Gawler Craton Airborne Survey....

State radiometric concentration grids were created by merging the data recorded across many airborne radiometric surveys. This was an update to previous State grids to include recent surveys such as the extensive Gawler Craton Airborne Survey. Data was levelled using a combination of the AWAGS2 (Australia Wide Airborne Geophysical Survey) and vehicle-borne streaming radiometric tie-lines. Additional levelling procedures were employed using software routines developed by Geoscience Australia. Grids were low-pass filtered using a 7-point, degree-3 Savitzky-Golay filter (Savitzky, A. and Golay, Analytical Chemistry, 36: 1627-1639). In some regions grid resolution was improved using an upward continuation of one cell size. Concentration grids Potassium (K), Thorium (Th), Uranium (U) and Total Count (TC) grids were created using Intrepid grid merge with open file surveys. The previous state grid (2016) was used as the base map and merged with new or reprocessed grids. - SA_RAD_K_2024 - Potassium (%K), 57 new or reprocessed grids - SA_RAD_Th_2024 - Thorium (equivalent (e) ppm eTh), 118 new or reprocessed grids - SA_RAD_U_2024 - Uranium (equivalent (e) ppm eU), 162 new or reprocessed grids - SA_RAD_TC_2024 – Total Count (cps), 139 new or reprocessed grids Ternary Grid (SA_RAD_KThU_RGB_2024) A ternary (3 band) ERMapper raster consisting of the concentration grids: - Red – Potassium (SA_RAD_K_2024) - Green – Thorium (SA_RAD_Th_2024) - Blue –Uranium (SA_RAD_U_2024) U2 / Th (SA_RAD_U2Th_2024) A single band ERMapper grid of uranium squared divided by thorium. Most values are between 0 – 20 but outliers are extreme so best viewed with quantiles colour stretch rather than intervals. Log Normalised Scaled (SA_RAD_LNS_RGB_2024) A technique published by Mark Grujic1 for increasing contrast in areas dominated by extreme low or high values for one element. The grid has been named LNS to reflect the general process and was produced using WinDisp™. Log Normalised Scaled (LNS) 1. Log transform K,Th and U grids 2. Normalise log grids to between 0 and 1 3. Divide normalised values by sum of the three normalised values. An ESRI .lyr file has been created for each GDA94 & GDA2020 raster which includes an overlay of Total Count as a sunshade layer. 1: https://www.linkedin.com/pulse/visualising-regional-radiometics-data-mark-grujic/ Please note that the Hillshade does not always automatically load into ArcMap and ArcGIS Pro projects. If this happens, please load the SA_RAD_TC_2024_GDA2020_DD.ers (or SA_RAD_TC_2024_GDA94_DD.ers) into your project first, then reload the other layer.

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About this record

Record No mesac771
Topic Geoscientific Information
Type of Resource Dataset
Category Type
Document Type
Contributor
Sponsor
Tenement
Tenement Holder
Operator
Geological Province
    Other
    Mine Name
    Stratigraphy
    Commodity
      Notes
      
                          
                          
      
                          
                        
      Language English
      Metadata Standard ISO 19115-3

      Citations

      Use constraints License
      License Creative Commons Attribution 4.0
      Persistent identifier https://pid.sarig.sa.gov.au/dataset/mesac771
      Citation South Australian regional radiometric images, 2024
      https://pid.sarig.sa.gov.au/dataset/mesac771

      Technical information

      Status Completed
      Maintenance and Update Frequency Not Planned
      Geographic Reference GDA2020 (EPSG:7844)
      Geo bounding box {"type":"Polygon","coordinates":[[[129,-38],[141,-38],[141,-26],[129,-26],[129,-38]]]}
      Purpose
      To aid in geological exploration.
      To aid in geological exploration.
      Lineage
      These products were created by DEM geophysicists. SA_RAD_K, SA_RAD_U and SA_RAD_Th are grids of Potassium, Uranium and Thorium, respectively, element concentrations created by merging the data recorded across many airborne radiometric surveys....
      These products were created by DEM geophysicists. SA_RAD_K, SA_RAD_U and SA_RAD_Th are grids of Potassium, Uranium and Thorium, respectively, element concentrations created by merging the data recorded across many airborne radiometric surveys. This was an update to previous State grids to include recent airborne radiometric surveys such as the encompassing Gawler Craton Airborne Survey. Data was levelled using a combination of the AWAGS2 (Australia Wide Airborne Geophysical Survey) and vehicle-borne streaming radiometric tie-lines. Additional levelling procedures were employed using software routines developed by Geoscience Australia. Grids were low-pass filtered using a 7-point, degree-3 Savitzky-Golay filter to (Savitzky, A. and Golay, Analytical Chemistry, 36: 1627-1639). In some regions, the grid resolution was improved using an upward continuation of one cell size. Concentration grids Potassium (K), Thorium (Th) and Uranium (U) grids were created using Intrepid grid merge with open file surveys. The previous state grid (2016) was used as the base map and merged with new or reprocessed grids. - SA_RAD_K - Potassium (%K), 57 new or reprocessed grids - SA_RAD_Th - Thorium (equivalent (e) ppm eTh), 118 new or reprocessed grids - SA_RAD_U - Uranium (equivalent (e) ppm eU), 162 new or reprocessed grids SA_RAD_KThU_RGB A ternary (3 band) ERMapper raster consisting of the concentration grids: - Red – Potassium (SA_RAD_K) - Green – Thorium (SA_RAD_Th) - Blue –Uranium (SA_RAD_U) U2 / Th A single band ERMapper grid of uranium squared divided by thorium. Log Normalised Scaled - Reference John Pain and Mark Grujic 1. Log transform K,U and T grids (with a minimum value clamped at ln(0.001)) 2. Calculate min, max values for log scaled grids 3. Rescale grid values to [0,1] (i.e. Min -> 0, Max -> 1) 4. Divide scaled values by sum of the three scaled values 5. Output scaled K,U and T grids 6. Display scaled grids using RGB

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      Attribute details