Coral Reef

Coral reef research focuses on understanding and mitigating the decline of these vital ecosystems through advanced monitoring and restoration techniques. Current efforts leverage machine learning, particularly deep learning architectures like convolutional neural networks (CNNs) and transformers, for automated image analysis of coral health, habitat mapping, and species identification from underwater imagery and video, often incorporating photogrammetry for 3D modeling. These technological advancements enable large-scale, high-resolution monitoring and improved efficiency in conservation efforts, providing crucial data for informed management and restoration strategies. The resulting data and models are also informing predictive models of coral reef health and productivity, based on environmental factors.