摘要
连云港是国家首批对外开放的滨海城市。针对当前对连云港海岸线变化研究存在成果较少、时间序列不足以及缺乏土地利用与海岸线的相互作用关系探究等问题,基于1984-2018年Landsat 5、7和8影像数据,解译连云港近35年海岸线空间分布,从长度、分形维数两个方面分析了海岸线的时空变迁,并结合GlobeLand 30土地覆盖数据,从土地利用程度、转移矩阵两个方面探究海岸线时空演变特征。结果表明:1984-2018年间,连云港海岸线总长度共增长了36 km,从2000-2010年到2010-2020年海岸线年平均增长率由0.14 km/a增长至0.95 km/a;海岸线分形维数由1.05增至1.08,海岸线复杂度和曲折度均有所增加;土地利用强度的变化率由2.48%增至5.46%;发生土地利用转移的面积由208.56 km^(2)增加至939.11 km^(2),耕地和人造地表的增加很大程度上使海岸线向海推进。
Lianyungang is one of the first coastal cities opened to the world in China.However,at present,there are few researches on coastline change of Lianyungang.The existing studies tend to lack sufficient time series or exploring the interaction relationship between land use and coastline change.Therefore,using Landsat 5,7 and 8 images from 1984 to 2018,this study interprets the nearly 35-year spatial distribution of Lianyungang coastline,and analyzes the temporal-spatial changes of the coastline length and fractal dimension.Subsequently,the temporal and spatial change characteristics of coastline are explored through land use degree and transfer matrix of GlobeLand 30 land cover data.The results show that the total length of Lianyungang coastline increased by 36 kilometers during 35-year period,and the average annual growth rate of the coastline increased from 0.14 km/a during 2000-2010 period to 0.95 km/a during 2010-2020 period.The fractal dimension of shoreline increased from 1.05 in 1984 to 1.08 in 2018,thus leading to the complexity and tortuosity increase of shorelines.The change rate of land use intensity increased from^(2).48%during the period of 2000-2010 to 5.46%during the period of 2010-2020 and the corresponding area of land use transfer increased from^(2)08.56 km^(2)to 939.11 km^(2).Overall,the increase of cultivated land and artificial surface primarily made the coastline proceed toward the sea from 1984 to 2018.
作者
刘惠惠
车向红
李丽
徐胜华
刘纪平
LIU Huihui;CHE Xianghong;LI Li;XU Shenghua;LIU Jiping(Jiangsu Ocean University,Lianyungang,Jiangsu 222023,China;Chinese Academy of Surveying and Mapping,Beijing 100036,China)
出处
《遥感信息》
CSCD
北大核心
2022年第3期129-134,共6页
Remote Sensing Information
基金
国家自然科学基金项目(4190011476、41901379)。
