Predicted Seabed Sediment Content in the Timor Sea Region, 10m Resolution

Spatially continuous raster data predicts seabed gravel, mud, and sand content as weight percentages across eight areas in the Australian continental EEZ's Timor Sea region. The dataset supersedes previous predictions with demonstrated accuracy improvements, achieving a VEcv of 71% for mud, 72% for sand, and 42% for gravel. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub.

Use Cases

• Modeling seabed habitat suitability based on predicted sediment fractions of gravel, mud, and sand.
• Assessing sediment transport and erosion risks using the 10-meter resolution spatial grids.
• Calibrating or validating other marine geological surveys with the provided accuracy metrics (VEcv).
• Identifying and analyzing spatial artefacts, such as lines from backscatter data, to improve data collection methods.

Strengths

• Dataset supersedes previous predictions with demonstrated accuracy improvements.
• Provides specific validation metrics: VEcv = 71% for mud, 72% for sand, and 42% for gravel.
• Offers data in both 10-meter resolution raster grids and ASCII text file formats.

Limitations

• Artefacts, such as horizontal and vertical lines from backscatter data noise, are present and affect interpretation.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total spatial extent are unknown, which may limit suitability assessment.

Provenance

Source

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

Collection Method

Predictive modeling using spatially continuous data and variables including backscatter data.

Time Range

2018

Freshness

Last updated 2026-06-27 19:51:01.011021

Geography

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