基于GEE的杭州湾海岸线遥感提取与时空演变分析  

Information extraction and spatio-temporal evolution analysis of the coastline in Hangzhou Bay based on Google Earth Engine and remote sensing technology

作　　者：朱琳[1] 黄玉玲 杨刚 孙伟伟[1] 陈超 黄可 ZHU Lin;HUANG Yuling;YANG Gang;SUN Weiwei;CHEN Chao;HUANG Ke(Department of Geography and Spatial Information Techniques,Ningbo University,Ningbo 315211,China;School of Geography Science and Geomatics Engineering,Suzhou University of Science and Technology,Suzhou 215009,China)

机构地区：[1]宁波大学地理与空间信息技术系,宁波315211 [2]苏州科技大学地理科学与测绘工程学院,苏州215009

出　　处：《自然资源遥感》2023年第2期50-60,共11页Remote Sensing for Natural Resources

基　　金：国家自然科学基金项目“海岸带高光谱遥感”(编号:42122009)、“多时相高光谱遥感自适应解混的滨海湿地精细变化分析”(编号:41971296)、“人类活动影响下的群岛区域海岸线时空演变机制分析”(编号:42171311);宁波市科技创新2025重大专项项目“地空星遥感协同的作物病虫害信息智能感知与测报系统研发及示范应用”(编号:2021Z107);宁波市公益项目“多源遥感信息融合的长三角城市群热环境精细监测关键技术研发”(编号:2021S089);中国博士后科学基金项目“顾及先验知识的遥感时间序列数据时域重建方法”(编号:2020M670440);浙江省省属高校基本科研业务费专项资金资助项目“国产高分辨率遥感影像支撑下的大尺度赤潮变化检测方法研究”(编号:SJLZ2022002)共同资助。

摘　　要：持续海岸线动态变化监测对于掌握海岸线变迁规律和演变特征至关重要。长时间序列的海岸线数据集能够在时空维度上详细刻画海岸线的动态变化,进而反映人为活动和自然因素对滨海区域的影响,有利于滨海湿地空间资源的科学管理和可持续发展。该研究基于Google Earth Engine(GEE)平台,利用长时间序列Landsat TM/ETM+/OLI影像,研究了1990—2019年杭州湾海岸线的变化特征;利用像元级修正归一化水体指数(modified normalized difference water index,MNDWI)时间序列重构技术方法,结合Otsu算法阈值分割和数字化海岸分析系统,实现长时间序列海岸线信息自动提取和时空变化分析。结果表明,1990—2019年间杭州湾海岸线总长度增加了约20.69 km,陆域面积增加了约764.81 km^(2),年均增加速率为0.35%,平均终点变化速率和平均线性回归变化速率分别为110.07 m/a和119.06 m/a。文章通过对30 a间杭州湾海岸线进行时空演变分析,为实现杭州湾海岸线资源的可持续发展和综合管理提供了基础支撑。The continuous monitoring of the dynamic changes in coastlines is crucial to ascertaining the change patterns and evolution characteristics of coastlines.Long-time-series coastline datasets allow for the detailed description of the dynamic changes in coastlines from the spatio-temporal dimensions and further reflect the effects of human activities and natural factors on coastal areas.Therefore,they are conducive to the scientific management and sustainable development of the spatial resources in coastal wetlands.Based on the Google Earth Engine(GEE),this study analyzed the change in the coastline of Hangzhou Bay during 1990—2019 based on long-time-series Landsat TM/ETM+/OLI images.Using the pixel-level modified normalized difference water index(MNDWI)time series reconstruction technology,this study achieved the automatic information extraction of long-time-series coastlines and the analysis of spatio-temporal changes by combining the Otsu algorithm threshold segmentation and the Digital Shoreline Analysis System.The results show that the total coastline length of Hangzhou Bay increased by about 20.69 km during 1990—2019,corresponding to an increase in the land area by about 764.81 km^(2),with an average annual increase rate of 0.35%.In addition,the average end point rate(EPR)and linear regression rate(LRR)of the coastline were 110.07 m/a and 119.06 m/a,respectively.The analysis of the spatio-temporal evolution of the coastline in Hangzhou Bay over 30 years will provide a basis for the sustainable development and comprehensive management of resources along the coastline in Hangzhou Bay.

关 键 词：海岸线 杭州湾 Google Earth Engine 时空演变 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]