摘要
港口是"一带一路"基础设施建设的重点内容之一。基于2015年成像的Landsat 8 OLI卫星影像,根据"一带一路"沿线25个港口城市及其周边的海岸带生态环境状况,建立重要港口城市海岸线遥感目视解译的标志库,利用Arcgis10.0软件的矢量绘图功能,采用目视解译方法,对25个重要港口城市及其周边区域进行海岸线位置提取和类型划分工作;过程中,参照Google Earth影像绘制海岸线,以确保海岸线位置与类型都能够准确地勾绘或判读,最终得到"一带一路"沿岸重要港口城市海岸线分布和分类的矢量数据。25个港口城市分别是:上海、釜山、新加坡、雅加达、皎漂、曼谷、关丹、孟买、瓜达尔、加尔各答、吉大港、科伦坡、多哈、阿巴斯、吉达、迪拜、里斯本、圣彼得堡、吉布提、苏丹港、亚历山大、比雷埃夫斯、伊斯坦布尔、悉尼、达尔文。海岸线采用平均高潮线定义,分为自然岸线和人工岸线2大类,其中,人工岸线又分为丁坝突堤、港口码头、围垦中岸线、养殖岸线、盐田岸线、交通岸线、防潮堤岸线7种类型。研究表明,上海、新加坡、釜山等较为成熟和发达的港口城市及其周边区域的港口码头岸线以及与其配套的交通岸线等的分布较为普遍;皎漂、瓜达尔、关丹、吉布提等新兴或规模较小的港口城市及其周边区域仍然拥有非常丰富的自然岸线;其他的大多数港口城市及其周边区域则是明显有别于上述2类,即有相当规模的港口码头等人工岸线,又有大量的自然岸线。该数据集按照单个港口城市分别存储,数据格式为.shp,25个港口城市的数据量为1.34 MB(压缩为853 KB)。
This dataset focus on the delineation and classification of coastline in 25 port cities and its surrounding area along the Belt&Road(B&R).Landsat 8 OLI images in 2015 were used as basic data source,and the high-resolution remote sensing images such as Google Earth images were chosen as ancillary data.The 25 port cities are Shanghai,Busan,Singapore,Jakarta,Kyaukpyu,Bangkok,Kuantan,Mumbai,Gwadar,Kolkata,Chittagong,Colombo,Doha,Abbas,Je ddah,Dubai,Lisbon,Petersburg,Djibouti,Sudan-port,Alexandria,Piraeus,Istanbul,Sydney,and Darwin.The mean high tide line was chosen as the proxy of coastline.Coastline was first classified into natural and artificial coastline,and then seven subtypes of artificial coastline were further categorized:groin and jetty,harbor and wharf,reclamation,aquaculture dike,salt pan dike,traffic dike,and sea wall.Visual interpretation method was adopted to delineate and classify coastline in and adjacent to port cities.The result shows that,"Harbor and Wharf"and"Traffic dike"are common coastline in well developed port cities,such as Shanghai,Singapore,and Pusan;while natural coastline are widely distributed in newly developed port cities,such as Kyaukpyu,Gwadar,Kuantan,and Djibouti;the rest of port cities are significantly different from the above two types because both artificial and natural coastline could be found.The dataset is archived as.shp file,with the data size of 855 KB.
作者
宋洋
侯西勇
Song, Y.;Hou, X.Y.(Yantai Institute of Coastal Zone Research,Chinese Academy of Sciences,Yantai 264003,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《全球变化数据学报（中英文）》
2017年第3期309-316,309-316,共16页
Journal of Global Change Data & Discovery
基金
国家自然科学基金(31461143032)
作者简介
通讯作者:侯西勇,L-6506-2016,中国科学院烟台海岸带研究所,xyhou@yic.ac.cn
