From Geoscience Australia
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Machine Learning Models WCS

Created 09/01/2026

Updated 09/01/2026

JSON format icon JSON RDF format icon RDF ISO19115-3 XML

This web service contains map layers and coverages for machine learning models, using raster datasets which include radiometric grid infill, cover depths and conductivity. All grids have been converted to cloud-optimised GeoTIFF (COG) format for use and delivery from an cloud-based object store (AWS s3).

Files and APIs

Tags

Additional Info

Field Value
Title Machine Learning Models WCS
Language English
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/853c4100-9704-4b8b-80e9-467260ff9905
Contact Point
Geoscience Australia Data
clientservices@ga.gov.au
Reference Period 05/08/2021
Geospatial Coverage
Map data © OpenStreetMap contributors
{
  "coordinates": [
    [
      [
        112.899914375,
        -43.76050004081041
      ],
      [
        153.671914375,
        -43.76050004081041
      ],
      [
        153.671914375,
        -8.999500000938234
      ],
      [
        112.899914375,
        -8.999500000938234
      ],
      [
        112.899914375,
        -43.76050004081041
      ]
    ]
  ],
  "type": "Polygon"
}
Data Portal Geoscience Australia

Data Source

This dataset was originally found on Geoscience Australia "Machine Learning Models WCS". Please visit the source to access the original metadata of the dataset:
https://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/machine-learning-models-wcs