Timor Sea Seabed Sediment Composition Predictions at 10-Meter Resolution

10-meter resolution raster grids predict the weight percentage of seabed gravel, mud, and sand across eight areas in the Australian Timor Sea. The dataset supersedes previous predictions with improved accuracy, showing validation efficiencies of 71% for mud, 72% for sand, and 42% for gravel. It was produced by the National Environmental Science Program Marine Biodiversity Hub and published in 2018.

Use Cases

• Modeling sediment transport by analyzing spatial patterns of the predicted gravel, mud, and sand weight percentages.
• Assessing benthic habitat suitability by correlating the predicted mud content layer with known species distributions.
• Validating and improving spatial prediction models by comparing the 2018 predictions' VEcv accuracy metrics for different sediment types.
• Identifying data artifacts for model refinement by examining horizontal and vertical line noise in the predicted sediment rasters.

Strengths

• High 10-meter spatial resolution for detailed seabed mapping.
• Provides quantitative validation efficiency (VEcv) scores for each sediment type (e.g., 72% for sand).
• Covers eight distinct areas within the Australian Exclusive Economic Zone of the Timor Sea.

Limitations

• Prediction accuracy varies significantly by sediment type, with gravel predictions showing a lower VEcv of 42%.
• Dataset contains acknowledged spatial artifacts, such as lines, from noise in the backscatter predictive variables.
• The underlying data and model are from 2018 and may not reflect recent seabed changes.

Provenance

Source

Australian Ocean Data Network, supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub.

Collection Method

Spatially continuous predictions derived from predictive variables, including backscatter data.

Time Range

2018

Freshness

Published in 2018; dataset page was updated in April 2026.

Geography

Timor Sea region within the Australian continental Exclusive Economic Zone (EEZ), covering eight specific areas.