ReefCloud Coral Cover Predictions for the Great Barrier Reef and American Samoa

ReefCloud public data from the Australian Ocean Data Network supports a predictive model for annual hard coral cover across monitored and unmonitored reefs. The dataset aggregates individual monitoring observations into 5x5km hexagonal units for the Central Great Barrier Reef and American Samoa, incorporating heat stress and tropical cyclone exposure. It was last updated on 2026-07-16.

Use Cases

• Predicting annual hard coral cover trends based on aggregated monitoring data and spatial units.
• Modeling the impact of heat stress exposure on coral reef ecosystems.
• Assessing the influence of tropical cyclone exposure on coral cover at broad spatial scales.
• Reproducing the spatial predictive model results from the associated 2026 research paper.

Strengths

• Data is aggregated into standardized 5x5km hexagonal spatial units, which likely facilitates spatial analysis.
• The model incorporates specific environmental drivers mentioned in the description: exposure to heat stress and tropical cyclones.
• Dataset is associated with a peer-reviewed research paper (Vercelloni et al., 2026), suggesting a research-grade origin.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to its focus on the Central Great Barrier Reef and American Samoa.

Provenance

Source

Australian Ocean Data Network, associated with research by Vercelloni et al. (2026).

Collection Method

Individual monitoring observations from the public ReefCloud platform were aggregated into 5x5km hexagonal spatial units.

Freshness

Last updated 2026-07-16 01:41:02.075801; freshness should be verified.

Geography

Central region of the Great Barrier Reef and American Samoa.