Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

SUO Anning; XU Jingping; LI Xuchun; WEI Baoquan

doi:10.1007/s11769-020-1153-9

Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

doi: 10.1007/s11769-020-1153-9

1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;
2. National Marine Environment Monitoring Center, Dalian 116023, China

基金项目:

Under the auspices of National Natural Science Foundation of China (No. 41871281, 41876109)

详细信息

通讯作者:
XU Jingping.E-mail:xjp.pp@126.com

Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;
2. National Marine Environment Monitoring Center, Dalian 116023, China

Funds:

Under the auspices of National Natural Science Foundation of China (No. 41871281, 41876109)

摘要: More and more ports appeared along China's coastline, which destroyed natural coastline and coastal landscape. Some of them are inefficiency operations. It is important to evaluate operational efficiency of ports to reveal their position in regional competitive environment. In this study, high spatial resolution satellite remote sensing images were used to monitor ship number and plane area. The port-use prosperity index (PUI) was subsequently proposed to quantitatively describe port-use business and reveal port-use efficiency. The PUI was applied to six ports around the Bohai Sea, China. The number, scale, and plane of ships docked in these ports were easily monitored by the high spatial resolution satellite remote sensing images, and the PUI was calculated using a ship's total plane area and length of docked coastline. The PUI is an objective and practical index for evaluating port-use efficiency. It can be used to compare differences in port use and indicate temporal port-use dynamics. The PUI values of Jingtang and Tianjin Ports were the highest (17.75 and 14.14, respectively), whereas that of Yantai Port was the lowest (8.31). The PUI values of the remaining ports were 9.0-10.70. A linear relationship existed between port throughput and PUI in the studied ports. This can forecast port throughput by monitoring and calculating PUI based on high spatial resolution satellite remote sensing images.
- port-use prosperity index (PUI) /
- ship number /
- plane area /
- port-use efficiency /
- the Bohai Sea
Abstract: More and more ports appeared along China's coastline, which destroyed natural coastline and coastal landscape. Some of them are inefficiency operations. It is important to evaluate operational efficiency of ports to reveal their position in regional competitive environment. In this study, high spatial resolution satellite remote sensing images were used to monitor ship number and plane area. The port-use prosperity index (PUI) was subsequently proposed to quantitatively describe port-use business and reveal port-use efficiency. The PUI was applied to six ports around the Bohai Sea, China. The number, scale, and plane of ships docked in these ports were easily monitored by the high spatial resolution satellite remote sensing images, and the PUI was calculated using a ship's total plane area and length of docked coastline. The PUI is an objective and practical index for evaluating port-use efficiency. It can be used to compare differences in port use and indicate temporal port-use dynamics. The PUI values of Jingtang and Tianjin Ports were the highest (17.75 and 14.14, respectively), whereas that of Yantai Port was the lowest (8.31). The PUI values of the remaining ports were 9.0-10.70. A linear relationship existed between port throughput and PUI in the studied ports. This can forecast port throughput by monitoring and calculating PUI based on high spatial resolution satellite remote sensing images.
- port-use prosperity index (PUI) /
- ship number /
- plane area /
- port-use efficiency /
- the Bohai Sea

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Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

doi: 10.1007/s11769-020-1153-9

通讯作者:
XU Jingping.E-mail:xjp.pp@126.com

Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

计量

Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

doi: 10.1007/s11769-020-1153-9

1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;

2. National Marine Environment Monitoring Center, Dalian 116023, China

通讯作者: XU Jingping.E-mail:xjp.pp@126.com

English Abstract

Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;

2. National Marine Environment Monitoring Center, Dalian 116023, China

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Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

doi: 10.1007/s11769-020-1153-9

通讯作者: XU Jingping.E-mail:xjp.pp@126.com

Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

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Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

doi: 10.1007/s11769-020-1153-9

1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; 2. National Marine Environment Monitoring Center, Dalian 116023, China

通讯作者: XU Jingping.E-mail:xjp.pp@126.com

English Abstract

Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; 2. National Marine Environment Monitoring Center, Dalian 116023, China

全文HTML

目录

通讯作者:
XU Jingping.E-mail:xjp.pp@126.com

1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;

2. National Marine Environment Monitoring Center, Dalian 116023, China

1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;

2. National Marine Environment Monitoring Center, Dalian 116023, China