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

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. Additi...

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Autores principales: Adan Wu, Tao Che, Xin Li, Xiaowen Zhu
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Lenguaje:EN
Publicado: Taylor & Francis Group 2021
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Acceso en línea:https://doaj.org/article/f5f11809c4164001b94125366c23f2c1
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spelling oai:doaj.org-article:f5f11809c4164001b94125366c23f2c12021-11-04T15:00:43ZA ship navigation information service system for the Arctic Northeast Passage using 3D GIS based on big Earth data2096-44712574-541710.1080/20964471.2021.1981197https://doaj.org/article/f5f11809c4164001b94125366c23f2c12021-10-01T00:00:00Zhttp://dx.doi.org/10.1080/20964471.2021.1981197https://doaj.org/toc/2096-4471https://doaj.org/toc/2574-5417Research 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.Adan WuTao CheXin LiXiaowen ZhuTaylor & Francis Grouparticlearcticnortheast passagesea iceshippinginformation service system3d gisGeography. Anthropology. RecreationGGeologyQE1-996.5ENBig Earth Data, Vol 0, Iss 0, Pp 1-27 (2021)
institution DOAJ
collection DOAJ
language EN
topic arctic
northeast passage
sea ice
shipping
information service system
3d gis
Geography. Anthropology. Recreation
G
Geology
QE1-996.5
spellingShingle arctic
northeast passage
sea ice
shipping
information service system
3d gis
Geography. Anthropology. Recreation
G
Geology
QE1-996.5
Adan Wu
Tao Che
Xin Li
Xiaowen Zhu
A ship navigation information service system for the Arctic Northeast Passage using 3D GIS based on big Earth data
description 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.
format article
author Adan Wu
Tao Che
Xin Li
Xiaowen Zhu
author_facet Adan Wu
Tao Che
Xin Li
Xiaowen Zhu
author_sort Adan Wu
title A ship navigation information service system for the Arctic Northeast Passage using 3D GIS based on big Earth data
title_short A ship navigation information service system for the Arctic Northeast Passage using 3D GIS based on big Earth data
title_full A ship navigation information service system for the Arctic Northeast Passage using 3D GIS based on big Earth data
title_fullStr A ship navigation information service system for the Arctic Northeast Passage using 3D GIS based on big Earth data
title_full_unstemmed A ship navigation information service system for the Arctic Northeast Passage using 3D GIS based on big Earth data
title_sort ship navigation information service system for the arctic northeast passage using 3d gis based on big earth data
publisher Taylor & Francis Group
publishDate 2021
url https://doaj.org/article/f5f11809c4164001b94125366c23f2c1
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