395 seabed samples and seven environmental variables underpin a 10-meter resolution raster grid predicting sand content for Darwin and Bynoe Harbours. The project, funded by an INPEX-led LNG project and co-invested by Geoscience Australia and AIMS, compiled surveys from 2011 to 2017. Predictive accuracy for sand content is reported as VEcv = 39%, an 84.8% improvement over a common interpolation method.
Use Cases
- Create thematic habitat maps based on predicted seabed sand content.
- Underpin marine resource management decisions using spatially continuous environmental baseline data.
- Model sediment distribution patterns based on multibeam sonar-derived bathymetry and backscatter variables.
- Assess changes in seabed composition by comparing these improved predictions with previous datasets.
Strengths
- Predictive accuracy for sand content shows an 84.8% improvement over the commonly used IDW method.
- Data is derived from a compilation of multiple surveys conducted between 2011 and 2017.
- Spatial predictions are provided at a high 10-meter resolution raster format.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Absences in predictions occur due to non-availability of associated predictive variables.
Provenance
- Source
- Australian Ocean Data Network, aggregating data from Geoscience Australia, Australian Institute of Marine Science, and the Northern Territory Government's Department of Environment and Natural Resources.
- Collection Method
- Predictions based on 395 seabed samples and seven environmental variables derived from high-resolution multibeam sonar bathymetry and backscatter data.
- Time Range
- Surveys conducted between 2011 and 2017.
- Freshness
- Last updated 2026-06-17 01:15:00.050615; freshness should be verified.
- Geography
- Greater Darwin Harbour and Bynoe Harbour region, northern Australian marine margin.