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

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Created 20/01/2025

Updated 20/01/2025

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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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Title Four-class hardness prediction grids in the eastern Joseph Bonaparte Gulf of Timor Sea
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/5444be29-14dc-44fc-9b55-9b549b73ebed
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 22/04/2018
Geospatial Coverage {"type": "Polygon", "coordinates": [[[129.451, -12.287], [130.063, -12.287], [130.063, -10.285], [129.451, -10.285], [129.451, -12.287]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "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://devweb.dga.links.com.au/data/dataset/four-class-hardness-prediction-grids-in-the-eastern-joseph-bonaparte-gulf-of-timor-sea1

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