Predicted seabed mud content grids for Darwin and Bynoe Harbour regions in northern Australia. The dataset provides spatially continuous predictions of mud percentage based on 395 samples and nine environmental variables derived from multibeam sonar data collected between 2011 and 2017. The project was funded by an INPEX-led LNG project and co-invested by Geoscience Australia, the Australian Institute of Marine Science, and the Northern Territory Government.
Use Cases
- Model seabed habitat composition based on predicted mud content percentages.
- Support marine resource management decisions using the thematic habitat maps mentioned in the description.
- Analyze sediment distribution patterns using the 10-meter resolution raster grids.
- Compare predictive accuracy of different methods using the reported VEcv of 62% for mud.
Strengths
- Predictions are based on 395 physical samples.
- Accuracy is reported as very high with a VEcv of 62% for mud.
- Predictive accuracy increased by 198.3% compared to a commonly used interpolation method.
- Data supersedes previous predictions with demonstrated improvements.
Limitations
- Absences in predictions occur due to non-availability of predictive variables.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Australian Ocean Data Network, aggregating data from Geoscience Australia, Australian Institute of Marine Science, and Northern Territory Government.
- Collection Method
- Derived from a compilation of multiple surveys undertaken between 2011 and 2017.
- Time Range
- Survey data collected between 2011 and 2017.
- Freshness
- Last updated 2026-04-16 14:19:25.983690; freshness should be verified.
- Geography
- Greater Darwin Harbour region and Bynoe Harbour, northern Australian marine margin.