Identifying the operational status of container terminals from high-resolution nighttime-light satellite image for global supply chain network optimization

Hiroki Murata, R. Shibasaki, Naoto Imura, K. Nishinari
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Abstract

Container terminals are cargo gateways in the global maritime supply chain network. Major container terminals generally operate throughout the year, but do not operate at night, when container vessels are not calling at ports, or when there is no need to handle containers. Terminal congestion can delay containers’ shipping schedules, which impacts the supply chain network. To optimize global logistics, it is therefore important to understand fully the daily operational status of container terminals. A vessels’ automatic identification system data are not sufficient to determine whether containers are being handled in container terminals at night. Remote sensing, especially nighttime-light (NTL) imagery, might solve this problem. Recently, high-resolution images for the CE-SAT-IIB satellite with a pixel resolution of 5.1 m became available to observe NTL. This study assessed the operational status of container terminals based on satellite image taken at night. Eight terminals in the Port of Tokyo, Japan, were selected for the study. A Sentinel-2A image recorded during the day on 7 April 2021, and a CE-SAT-IIB image recorded during the night on 6 April 2021, were obtained. The digital numbers (DNs) of each red-, green-, and blue-(RGB) band image were analyzed, revealing that the red, green, and blue bands, in that order, had higher DNs in the Sentinel-2A daytime image and the CE-SAT-IIB NTL image at all terminals. One of the eight terminals had a low DN in the CE-SAT-IIB RGB image because its lights were off at the time the image was taken. The operational status of the terminals could be verified from the CE-SAT-IIB image by setting the DN threshold to the green or red bands. We also found that the CE-SAT-IIB image could distinguish white-light-emitting diode (LED) lamps from high-pressure sodium lamps based on color differences in the DNs of the RGB bands. If high-resolution NTL sensors were placed onboard microsatellites, a high-frequency observation constellation network could be constructed using a combination of NTL data and daytime images. This study showed the benefits and usefulness of NTL images of ports; the results will contribute to the overall optimization of the global maritime supply chain network.
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利用高分辨率夜间卫星图像识别集装箱码头的运行状态,以优化全球供应链网络
集装箱码头是全球海运供应链网络中的货物门户。主要集装箱码头一般全年运营,但在夜间、集装箱船不在港口停靠或不需要处理集装箱时不运营。码头拥堵会延迟集装箱的运输进度,从而影响供应链网络。因此,为了优化全球物流,充分了解集装箱码头的日常运营状况非常重要。船舶自动识别系统的数据不足以确定集装箱码头是否在夜间处理集装箱。遥感,特别是夜间光(NTL)图像,可能会解决这个问题。最近,CE-SAT-IIB卫星获得了像元分辨率为5.1米的高分辨率图像,可用于观测NTL。本研究以夜间卫星影像评估货柜码头营运状况。日本东京港的8个码头被选为研究对象。获得了2021年4月7日白天记录的Sentinel-2A图像和2021年4月6日夜间记录的CE-SAT-IIB图像。分析红、绿、蓝(RGB)波段图像的dn,发现在所有终端上,Sentinel-2A日间图像和CE-SAT-IIB NTL图像的dn依次为红、绿、蓝。其中一个终端在CE-SAT-IIB RGB图像中具有低DN,因为在拍摄图像时它的灯是关闭的。通过将DN阈值设置为绿色或红色波段,可以从CE-SAT-IIB图像中验证终端的运行状态。我们还发现CE-SAT-IIB图像可以根据RGB波段dn的颜色差异区分白光二极管(LED)灯和高压钠灯。如果在微型卫星上安装高分辨率NTL传感器,则可以利用NTL数据和日间图像的组合构建高频观测星座网络。本研究显示了NTL图像的优点和有用性;研究结果将有助于全球海运供应链网络的整体优化。
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