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

Created 24/06/2017

Updated 24/06/2017

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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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Field Value
Title Four-class hardness prediction grids in the eastern Joseph Bonaparte Gulf of Timor Sea
Language English
Licence Creative Commons Attribution 4.0 International
Landing Page https://devweb.dga.links.com.au/data/dataset/435ec5ab-e257-4431-8bef-adb3d563083a
Contact Point
Geoscience Australia
sales@ga.gov.au
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-sea

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