Decoding Intertidal Oyster Reef Morphology Insights from UAV Photogrammetry and Deep Learning.xlsx

In this study, we utilized UAV (Unmanned Aerial Vehicle) photogrammetry and Deep Learning techniques to enable the identification and morphological mapping of oyster reefs in the Liyashan oyster reef conservation area in the intertidal zone of Haimen, Jiangsu, China. We introduced the Volume Balance Index (VBI) to assess reef fragmentation (degree of pitting) and explored differences in the spatial distribution of reef fragmentation.