South Australian regional Bouguer gravity grids and data, 2023
Published: 16 Jan 2023 Created: 19 Nov 2024 Revised: 15 Jan 2025

SA GRAVITY 2023 is the 2023 Bouguer gravity grid of South Australia, gridded from 802,178 ground gravity stations from a total of 889,282 stations, extracted from the South Australian gravity database. All open file surveys processed to December...

SA GRAVITY 2023 is the 2023 Bouguer gravity grid of South Australia, gridded from 802,178 ground gravity stations from a total of 889,282 stations, extracted from the South Australian gravity database. All open file surveys processed to December 2022 were included in the grid. Duplicate stations and stations interpreted as unsuitable for gridding were not included in the processing. The Bouguer anomaly calculation used a spherical cap model, and the primary units of the grid are µm/sec2.
The gridding process utilised the supervised variable density gridding methodology (Katona 2017), which preserves the optimal grid resolution of both coarse and fine spaced gravity stations, smoothly merging variable station densities to a final grid with 100m cell size. The resulting grid is free of gridding artefacts and is robust enough for vertical gradient filtering.
The 2023 gravity data package includes these data products: -Grids at 100m, 200m, 400m and 800m cell size, all clipped to the same extent as the 2022 series of SA TMI grids, in GDA2020 and GDA94 coordinate systems, Lambert Conformal Conic projection, ers format.
-Filtered grid products derived from the 100m grid including 1st vertical derivative (1VD), upward continuation (1000m) and a residual grid derived by subtracting the 1000m upward continued grid from the 100m gravity grid.
-A reliability surface that classifies the gravity station data into nominal station spacing and optimal gridding resolution.
-Additional files enabling seamless use of the grids in a range of popular GIS software.
-The stations used in the gridding process are included in the package as an ESRI File Geodatabase feature class.

Grids interpolated from geo-located survey data are supplied in high precision 32 or 64 bit ERS format, processed to support data analytics.
ESRI layer files are provided for rendered display of ERS grids in ArcGIS.
Images derived from the ERS format grids are provided in 3 band, 8 bit Geotiff format, to support display and illustration.

This supersedes the previous version; ' South Australian regional gravity grids and images, 2016'

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About this record

Record No mesac428
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/mesac428
      Citation 2023. South Australian regional Bouguer gravity grids and data, 2023
      https://pid.sarig.sa.gov.au/dataset/mesac428

      Technical information

      Status Completed
      Maintenance and Update Frequency
      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
      The datasets used to create the SA_GRAV grid have been collected through numerous Industry and Government initiatives since the 1930s. Hence the data quality varies on a survey to survey basis. SA_Gravity_2016_Reliability.shp was produced in...
      The datasets used to create the SA_GRAV grid have been collected through numerous Industry and Government initiatives since the 1930s. Hence the data quality varies on a survey to survey basis. SA_Gravity_2016_Reliability.shp was produced in tandem with SA_GRAV and is an indication of the nominal station spacing and equivalent grid resolution used for the processing.
      
      Geotiff image(s) were derived from the ERS grid(s) by rendering the ERS grid with a non-linear colour stretch and sun-shading (45 degree azimuth and sun direction), before exporting to the tif image format.

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      Attribute details