Keppel Bay Seabed Sediment Classification Based on Grainsize and Stress

Five distinct seabed sediment classes were identified in Keppel Bay, a macrotidal environment in Central Queensland, Australia. The Australian Ocean Data Network published this dataset, which combines sediment sampling with acoustic seabed mapping tools. Statistical techniques classified sediments based on grainsize, chemical composition, and modelled seabed shear stress from waves and tidal currents.

Use Cases

• Classify seabed sediment types based on grainsize and chemical composition mentioned in the description.
• Model seabed shear stress and sediment transport based on wave and tidal current data.
• Analyze the interface between a large river catchment and a continental shelf based on the described macrotidal environment.

Strengths

• Dataset employs a combination of sediment sampling and acoustic seabed mapping tools.
• Seabed sediments are classified into five distinct classes using statistical techniques.

Limitations

• 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

Collection Method

Combination of sediment sampling and acoustic (sonar) seabed mapping tools.

Freshness

Last updated 2026-06-27 20:48:32.167939; freshness should be verified.

Geography

Keppel Bay, Central Queensland, Australia