Coral reefs play a significant role in marine ecosystems, but are increasingly facing degradation, primarily due to ocean warming. Effective monitoring and management methods are crucial for the conservation and rehabilitation of these ecosystems, and accurate mapping is essential for monitoring and conserving coral reef ecosystems. Utilizing remote sensing data is an effective approach to achieve high-quality maps. However, water column interference can disturb the reflected signal in remote sensing data. In this study, depth-invariant index (DII) transformation was applied to perform water column correction on high-resolution multispectral data from the QuickBird sensor, focusing on the coral reefs around Weno Island, Micronesia. Habitat classification was performed using an object-based image analysis method with additional in-situ measurements. The classification performance was evaluated using error matrices and kappa statistics.
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