山东科学2025，Vol.38Issue(3)：25-33,9.DOI:10.3976/j.issn.1002-4026.2025036
基于遥感监测的黑泥湾筏式海带养殖区时空变化研究
Spatiotemporal variation in raft-based kelp aquaculture in Heiniwan Bay using a remote sensing and monitoring technique
摘要
Abstract
Accurate assessment of the scale and distribution of offshore marine aquaculture is critical for effective management,spatial planning,and ecological protection.This study employed high-resolution Sentinel-2A/2B satellite imagery,a U-Net deep learning model for automatic feature extraction,and human-computer interactive correction to map the spatial extent of raft-based kelp farming in Heiniwan Bay from 2016 to 2024.The analysis revealed a three-phase development trajectory in the aquaculture area over the nine-year period.Spatial distribution exhibited a stable"north-south agglomeration with central sparsity"pattern.The observed spatiotemporal dynamics reflect the combined influence of technological advancements,policy interventions,and natural environmental conditions.These findings offer a robust scientific basis for optimizing aquaculture zoning,adaptive management strategies,and ecological governance in coastal regions with comparable aquaculture practices and environmental settings.关键词
哨兵二号A/B卫星/遥感/筏式海带养殖/深度学习/黑泥湾/时空演变Key words
Sentinel-2A/2B/remote sensing/raft-based kelp aquaculture/deep learning/Heiniwan Bay/spatiotemporal evolution分类
计算机与自动化引用本文复制引用
李欣,郝增周,厉运周,黄海清,潘德炉..基于遥感监测的黑泥湾筏式海带养殖区时空变化研究[J].山东科学,2025,38(3):25-33,9.基金项目
山东省重点研发计划(2023ZLYS01) （2023ZLYS01）
国家重点研发计划(2022YFC3104200) （2022YFC3104200）
