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Four-class hardness prediction grids in the eastern Joseph Bonaparte Gulf of Timor Sea

Created 17/10/2025

Updated 17/10/2025

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This dataset contains four-class hardness (i.e., hard-1, hard-soft-2, soft-3 and soft-hard-4) prediction data from seabed mapping surveys on the Van Diemen Rise in the eastern Joseph Bonaparte Gulf of the Timor Sea. This dataset was generated based on hard90 seabed hardness classification scheme using random forest methods based on the point data of seabed hardness classification using video images and multibeam data. Refer to Selecting optimal random forest predictive models: a case study on predicting the spatial distribution of seabed hardness for further information on processing techniques applied [1]. [1] Li, J., Tran, M., Siwabessy, J., 2016. Selecting optimal random forest predictive models: a case study on predicting the spatial distribution of seabed hardness PLOS ONE 11(2) e0149089.

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Additional Info

Field Value
Title Four-class hardness prediction grids in the eastern Joseph Bonaparte Gulf of Timor Sea
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/44500f4d-6cf2-492b-ba57-5624719c430d
Contact Point
Geoscience Australia Data
clientservices@ga.gov.au
Reference Period 22/04/2018
Geospatial Coverage
Map data © OpenStreetMap contributors
{
  "coordinates": [
    [
      [
        129.451,
        -12.287
      ],
      [
        130.063,
        -12.287
      ],
      [
        130.063,
        -10.285
      ],
      [
        129.451,
        -10.285
      ],
      [
        129.451,
        -12.287
      ]
    ]
  ],
  "type": "Polygon"
}
Data Portal Geoscience Australia

Data Source

This dataset was originally found on Geoscience Australia "Four-class hardness prediction grids in the eastern Joseph Bonaparte Gulf of Timor Sea". Please visit the source to access the original metadata of the dataset:
https://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/four-class-hardness-prediction-grids-in-the-eastern-joseph-bonaparte-gulf-of-timor-sea1