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1985–2022年胶州湾岸线时空分布数据集

A dataset of the spatio-temporal distribution of the coastline in Jiaozhou Bay from 1985 to 2022
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摘要 胶州湾是青岛的“母亲湾”,岸线时空分布受到气候变化和人类活动双重影响。岸线变化检测对于研究海陆格局演变和维护城市生态平衡至关重要。本研究基于遥感和GIS技术,利用Google Earth Engine平台经波段边缘检测及影像目视解译,获得1985–2022年9期胶州湾海岸线时空分布数据,并计算获得相应的岸线长度数据,形成本数据集。人工修正后的岸线矢量数据,通过验证点与高精度遥感影像进行精度评估,误差参数均小于理论最大允许误差。本数据集包括1985–2020年5年间隔、2022年的胶州湾海岸线空间分布数据(shp格式)和海岸线长度数据(xlsx格式)。本数据集为研究胶州湾海岸线时空演变规律、评估人类活动与自然因素对其影响提供了关键数据基础,相关研究成果可服务于海岸带生态修复工程与区域可持续发展决策。 Jiaozhou Bay is the“mother bay”of Qingdao,and its shoreline spatio-temporal distribution has been shaped by both climate change and human activities.The monitoring of shoreline changes is of great importance for understanding sea-land pattern evolution and maintaining urban ecological balance.Based on remote sensing and GIS technology,we use the Google Earth Engine platform to obtain the spatiotemporal distribution data of the coastline in Jiaozhou Bay.The spatio-temporal distribution data of the coastline of Jiaozhou Bay for nine periods from 1985 to 2022 were obtained through band edge detection and visual interpretation of satellite images.Subsequently,the corresponding coastline lengths are calculated.The manually corrected shoreline vector data were validated using verification points and highprecision remote sensing imagery,with all error parameters falling below the theoretically allowable maximum.The dataset comprises two components:(1)the spatial distribution data of the Jiaozhou Bay coastline at five-year intervals from 1985 to 2020 and 2022(in.shp format);and(2)the corresponding shoreline length data(in.xlsx format).This dataset provides a critical data foundation for researching the spatio-temporal evolution patterns of the Jiaozhou Bay coastline and assessing the impacts of both human activities and natural factors on its changes.The relevant research outcomes can support coastal ecosystem restoration projects and inform decision-making for regional sustainable development.
作者 赵永芳 邢容荣 李金洋 孙晓霞 ZHAO Yongfang;XING Rongrong;LI Jinyang;SUN Xiaoxia(Jiaozhou Bay National Marine Ecosystem Research Station,Institute of Oceanology,Chinese Academy of Sciences,Qingdao,266071,P.R.China;Laboratory for Marine Ecology and Environmental Science,Qingdao Marine Science and Technology Center,Qingdao 266237,P.R.China;Center for Ocean Mega-Science,Chinese Academy of Sciences,Qingdao 266071,P.R.China;University of Chinese Academy of Sciences,Beijing,100049,P.R.China;College of Geodesy and Geomatics Shandong University of Science and Technology,Qingdao 266590,P.R.China)
出处 《中国科学数据(中英文网络版)》 2025年第4期217-225,共9页 China Scientific Data
基金 NSFC-山东联合基金重点项目(U2006206) 中国科学院国际大科学计划培育项目(121311KYSB20190029) 中国科学院国际伙伴计划重点项目(133137KYSB20200002) 国家重点研发计划(2021YFF0703902) 科技部国家生态系统观测研究网络(CNERN)胶州湾海洋生态系统国家野外科学观测研究站运行服务项目。
关键词 胶州湾 海岸线时空分布 LANDSAT Google Earth Engine平台 Jiaozhou Bay spatio-temporal distribution of the coastline Landsat Google Earth Engine
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