Reef Cover, a coral reef classification for global habitat mapping from remote sensing

Area of Science:

• Marine ecology
• Geomorphology
• Remote sensing

Background:

• Current large-scale coral reef mapping relies on poorly defined, non-standardized classifications, hindering interpretation and application.
• Existing methods limit the ability of end-users to understand and utilize coral reef habitat maps effectively for conservation and management.

Purpose of the Study:

• To introduce Reef Cover, a transparent, version-based geomorphic zone classification system for coral reefs.
• To support producers and end-users of global-scale coral reef habitat maps by providing a standardized and interpretable classification scheme.
• To bridge the gap between remote sensing data and geo-ecological knowledge for improved reef mapping.

Main Methods:

• Developed scalable classes based on remotely observable attributes and expert knowledge of reef form and function.
• Focused on attributes balancing global applicability with local relevance and accuracy.
• Tested the Reef Cover classification scheme through two case studies: the Great Barrier Reef and Pacific island chains.

Main Results:

• Demonstrated the applicability of the Reef Cover classification for detailed mapping in the Great Barrier Reef's Cairns Management Region.
• Showcased the utility of Reef Cover for conservation mapping in the Pacific's Caroline and Mariana Island chains.
• Highlighted the scheme's effectiveness in maximizing the trade-off between global scale and local accuracy.

Conclusions:

• The Reef Cover classification provides a standardized, transparent, and version-controlled framework for global coral reef habitat mapping.
• This classification enhances the scientific and conservation benefits derived from high-resolution global reef mapping.
• Reef Cover facilitates improved coral reef management and conservation by increasing the interpretability and accuracy of habitat maps.