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.

本研究采用无人机（Unmanned Aerial Vehicle，UAV）摄影测量与深度学习技术，实现了中国江苏省海门市潮间带蛎蚜山牡蛎礁保护区内牡蛎礁的识别与形态测绘。本研究引入体积平衡指数（Volume Balance Index，VBI）以评估礁体破碎化（蚀坑程度），并探究了礁体破碎化的空间分布差异。