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Integrating aerial optical and bathymetric LiDAR data for coral reef mapping
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DOI：10.1016/j.jag.2026.105311.png)
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Abstract
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• Novel fusion of aerial imagery and LiDAR enables precise coral reef mapping. • Depth-informed neural network achieves 80.4% mIoU in coral image segmentation. • Validated on high-resolution data from Tetiaroa Atoll, French Polynesia. • Scalable, non-invasive monitoring supports coral reef conservation efforts.
Keywords:
Aerial remote sensing
Bathymetric LiDAR
Coral reef mapping
Tetiaroa Atoll
Informed deep learning
Multi-modal semantic segmentation
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