A ship navigation information service system for the Arctic Northeast Passage using 3D GIS based on big Earth data

• Published in: Big Earth Data
• Main Authors: Adan Wu, Tao Che, Xin Li, Xiaowen Zhu
• Format: Article in Journal/Newspaper
• Language: English
• Published: Taylor & Francis Group 2022
• Subjects: arctic; northeast passage; sea ice; shipping; information service system; 3d gis; Geography. Anthropology. Recreation; G; Geology; QE1-996.5; Arctic; Northeast Passage; Sea ice
• Online Access: https://doi.org/10.1080/20964471.2021.1981197; https://doaj.org/article/f5f11809c4164001b94125366c23f2c1

Research on Arctic passages has mainly focused on navigation policies, sea ice extraction models, and navigation of Arctic sea routes. It is difficult to quantitatively address the specific problems encountered by ships sailing in the Arctic in real time through traditional manual approaches. Additionally, existing sea ice information service systems focus on data sharing and lack online calculation and analysis capabilities, making it difficult for decision-makers to derive valuable information from massive amounts of data. To improve navigation analysis through intelligent information service, we built an advanced Ship Navigation Information Service System (SNISS) using a 3D geographic information system (GIS) based on big Earth data. The SNISS includes two main features: (1) heuristic algorithms were developed to identify the optimal navigation route of the Arctic Northeast Passage (NEP) from a macroscale perspective for the past 10 years to the next 100 years, and (2) for key sea straits along the NEP, online local sea-ice images can be retrieved to provide a fully automatic sea ice data processing workflow, solving the problems of poor flexibility and low availability of real sea ice remote sensing data extraction. This work can potentially enhance the safety of shipping navigation along the NEP.