| 摘要: |
| 采用高空间分辨率卫星遥感影像，建立了面向对象的港口空间格局遥感监测技术流程，构建出码头指数、堆场指数、港池指数、深水岸线指数、港口效率指数，用来定量描述港口空间组成与使用效能.并选取营口鲅鱼圈港区、锦州港区、京唐港区、烟台龙口港区、烟台芝罘港区5个渤海典型港口为例，开展了实证研究.结果显示：渤海区域港口码头岸线与码头、堆场、港池的平均基本比例为1.00∶6.96∶51.85∶66.05，营口鲅鱼圈港区的堆场和港池、锦州港区的堆场以及京唐港区的码头、堆场和港池面积比例均已超过区域平均值.渤海地区5个典型港区都有较大的提升空间，营口鲅鱼圈港区、京唐港区、锦州港区、烟台芝罘港区和烟台龙口港区分别有8 722、9 587、5 940、6 909、8 795万t的吞吐量潜力可供挖掘. |
| 关键词: 海洋遥感学 港口区 集约利用 监测 评估 遥感影像 空间格局 |
| DOI：10.3969/J.ISSN.2095-4972.2019.01.014 |
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| 基金项目:海洋公益性行业科研专项资助项目(201005011) |
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| Monitoring and assessment of intensive utilization of port area based on high spatial resolution remote sensing image with case study of five typical ports in the Bohai Sea |
| LI Xu-chun,XU Hui-min,SUO An-ning |
| (School of Urban and Environmental Sciences，Liaoning Normal University,Dalian 116029,China; National Marine Environment Monitoring Center, Dalian 116023,China) |
| Abstract: |
| An object-oriented remote sensing technique procedure for port spatial pattern monitoring is established used high-resolution satellite remote sensing images. Parameters such as dock index, stocking yard index, dock basin index, deep water coastline index and port efficiency index are constructed in order to describe the port space composition and utilization efficiency. In addition, we selected Bayuquan Port, Jinzhou Port, Jingtang Port of Yingkou, Longkou Port and Zhipu Port of Yantai, together 5 ports as examples for empirical study. The results show that the average basic ratio of dock coastline to dock and stocking yard and dock basin are 1.00∶6.96∶51.85∶66.05 for the five ports. The indexes of some ports, such as the stocking yard and dock basin of Bayuquan port and stocking yard of Jinzhou port, the area proportions of dock, stocking yard and dock basin of Jingtang port, have exceeded the regional average. The five typical port areas around the Bohai Sea all have more space for optimizing. It is estimated that the throughput potentials of Bayuquan port, Jingtang port and Jinzhou port of Yingkou, Zhifu port and Longkou port of Yantai are 87.22, 95.87, 59.40, 69.09 and 87.95 million tons, respectively. |
| Key words: marine remote port intensive utilization monitoring assessment remote sensing image spatial pattern |
