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作 者:孟云闪 韩志聪 曹英志[1] 刘畅[1] 王倩[1] MENG Yunshan;HAN Zhicong;CAO Yingzhi;LIU Chang;WANG Qian(National Marine Data and Information Service,Tianjin 300171,China)
机构地区:[1]国家海洋信息中心,天津300171
出 处:《海洋开发与管理》2023年第4期122-131,共10页Ocean Development and Management
基 金:海南省自然科学基金高层次人才项目(420RC745)。
摘 要:文章针对中低分辨率遥感影像难以提取海岸线中小尺度变化的实际问题,以渤海湾为例,利用2010—2020年SPOT5、GF-1/6、ZY-3等高分辨率遥感影像,采用数字海岸线分析和分形维数方法获取渤海湾海岸线位置变迁速率和复杂度变化过程;针对目前渤海湾海岸线变迁分析研究多基于中低分辨率遥感影像的问题,结合同时期的Landsat影像,分析遥感影像空间分辨率对渤海湾海岸线变迁速率和分形维数的影响。研究结果表明,遥感影像空间分辨率差异对分形维数的影响较小,但对不同类型的岸线变迁速率影响显著;渤海湾海岸线在2010—2020年的变化呈现出由剧烈过渡至相对稳定的状态,伴随着海岸线位置的变化,岸线的分形维数呈现出先上升再至平稳的趋势。相关研究成果能够为渤海湾地区海洋资源利用优化、海岸线及滩涂湿地等自然资源保护提供数据支持。The traditional medium-resolution satellite images cannot meet the need of smallscale shoreline variation monitoring.In addition,researches on the influences in spatial resolution on monitoring different types of shoreline changes are rarely found and discussed.Hence,in this study,based on high resolution remote sensing images from 2010 to 2020,such as SPOT5,GF-1/6 and ZY-3 satellite images the characteristics of shoreline changes were researched by the method of digital shoreline analysis system(DSAS)and fractal dimension.Moreover,the influences on shoreline variation velocity and fractal dimension based on satellite images with different spatial resolution were analyzed corresponding Landsat images.The outputs showed that the fractal dimensions of different types of shorelines were similar based on high-and low-resolution images,yet the difference of spatial resolution had obvious influence on shoreline variation velocities of different types of shorelines.Additionally,the trend of shoreline spatio-temporal variation transitioned from drastic change to a relatively stable state.The results could provide data support for the optimization of resource utilization in the Bohai Bay area and the protection of natural resources such as coastlines and tidal flats and wetlands.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置] P71[自动化与计算机技术—控制科学与工程]
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