Routeview: an intelligent route planning system for ships sailing through Arctic ice zones based on big Earth data

References

• Aase, Johnny Grøneng, and Julia Jabour. 2015. “Can Monitoring Maritime Activities in the European High Arctic by Satellite-Based Automatic Identification System Enhance Polar Search and Rescue?” The Polar Journal 5 (2): 386–402.
   Google Scholar
• Aditya, Trias, Dany Laksono, Febrian F. Susanta, I. Istarno, D. Diyono, and Didik Ariyanto. 2020. “Visualization of 3D Survey Data for Strata Titles.” ISPRS International Journal of Geo-Information 9 (5): 310–330.
   Web of Science ®Google Scholar
• Ahmed, Zeinab E, Rashid A Saeed, Amitava Mukherjee, and Sheetal N Ghorpade. 2020. Energy optimization in low-power wide area networks by using heuristic techniques.” LPWAN Technologies for IoT and M2M Applications:199-223.
   Google Scholar
• Aldenhoff, Wiebke, Céline Heuzé, and Leif E. Eriksson. 2019. “Sensitivity of Radar Altimeter Waveform to Changes in Sea Ice Type at Resolution of Synthetic Aperture Radar.” Remote Sensing 11 (22): 2602.
   Web of Science ®Google Scholar
• Aparicio, Manuela, and Carlos J. Costa. 2015. “Data Visualization.” Communication Design Quarterly 3 (1): 7–11.
   Google Scholar
• Bharati, Manish H., Jay J. Liu, and John F. MacGregor. 2004. “Image Texture Analysis: Methods and Comparisons.” Chemometrics and Intelligent Laboratory Systems 72 (1): 57–71.
   Web of Science ®Google Scholar
• Blackport, Russell, and James A. Screen. 2020. “Insignificant Effect of Arctic Amplification on the Amplitude of Midlatitude Atmospheric Waves.” Science Advances 6 (8): eaay2880.
   PubMed Web of Science ®Google Scholar
• Buixadé Farré, Albert, Scott R Stephenson, Linling Chen, Michael Czub, Ying Dai, Denis Demchev, Yaroslav Efimov, Piotr Graczyk, Henrik Grythe, and Kathrin Keil. 2014. “Commercial Arctic Shipping Through the Northeast Passage: Routes, Resources, Governance, Technology, and Infrastructure.” Polar Geography 37 (4): 298–324.
   Google Scholar
• Chang, K. Y., S. S. He, C. C. Chou, S. L. Kao, and A. S. Chiou. 2015. “Route Planning and Cost Analysis for Travelling Through the Arctic Northeast Passage Using Public 3D GIS.” International Journal of Geographical Information Science 29 (8): 1375–1393.
   Web of Science ®Google Scholar
• Chen, Shiyi, Yunfeng Cao, Fengming Hui, and Xiao Cheng. 2019. “Observed Spatial-Temporal Changes in the Autumn Navigability of the Arctic Northeast Route from 2010 to 2017.” Chinese Science Bulletin 64 (14): 1515–1525.
   Google Scholar
• Chen, Jinlei, Shichang Kang, Wentao Du, Junming Guo, Min Xu, Yulan Zhang, Xinyue Zhong, Wei Zhang, and Jizu Chen. 2021. “Perspectives on Future sea ice and Navigability in the Arctic.” The Cryosphere 15 (12): 5473–5482.
   Web of Science ®Google Scholar
• Chen, Shiyi, Mohammed Shokr, Xinqing Li, Yufang Ye, Zhilun Zhang, Fengming Hui, and Xiao Cheng. 2020. “MYI Floes Identification Based on the Texture and Shape Feature from Dual-Polarized Sentinel-1 Imagery.” Remote Sensing 12 (19): 1–22.
   Web of Science ®Google Scholar
• Christodoulou, Anastasia, Dimitrios Dalaklis, Peter Raneri, and Rebecca Sheehan. 2022. “An Overview of the Legal Search and Rescue Framework and Related Infrastructure Along the Arctic Northeast Passage.” Marine Policy 138: 104985.
   Web of Science ®Google Scholar
• Cohen, Judah, Karl Pfeiffer, and Jennifer A. Francis. 2018. “Structural Absorption by Barbule Microstructures of Super Black Bird of Paradise Feathers.” Nature Communications 9 (1): 1–12.
   PubMedGoogle Scholar
• Dai, Aiguo, Dehai Luo, Mirong Song, and Jiping Liu. 2019. “Double-slit Photoelectron Interference in Strong-Field Ionization of the Neon Dimer.” Nature Communications 10 (1): 1–13.
   PubMedGoogle Scholar
• David, Malmgren H., Leif T. Pedersen, Allan A. Nielsen, Matilde B. Kreiner, and Klaus H. Krane. 2021. “A Convolutional Neural Network Architecture for Sentinel-1 and AMSR2 Data Fusion.” IEEE Transactions on Geoscience and Remote Sensing 59 (3): 1890–1902.
   Web of Science ®Google Scholar
• Delgado Blasco, José Manuel, Michael Foumelis, Chris Stewart, and Andrew Hooper. 2019. “Measuring Urban Subsidence in the Rome Metropolitan Area (Italy) with Sentinel-1 SNAP-StaMPS Persistent Scatterer Interferometry.” Remote Sensing 11 (2): 1–17.
   Web of Science ®Google Scholar
• Dijkstra, E. W. 1959. “A Note on Two Problems in Connexion with Graphs.” Numerische Mathematik 1: 269–271.
   Web of Science ®Google Scholar
• Dong, Liangxiong, Jun Li, Wei Xia, and Qiang Yuan. 2021. “Double ant Colony Algorithm Based on Dynamic Feedback for Energy-Saving Route Planning for Ships.” Soft Computing 25 (7): 5021–5035.
   Web of Science ®Google Scholar
• Dorigo, Marco, Mauro Birattari, and Thomas Stutzle. 2006. “Ant Colony Optimization.” IEEE Computational Intelligence Magazine 1 (4): 28–39.
   Web of Science ®Google Scholar
• Fang, Miao, Xin Li, W. Hans Chen, and Deliang Chen. 2022. “Arctic Amplification Modulated by Atlantic Multidecadal Oscillation and Greenhouse Forcing on Multidecadal to Century Scales.” Nature Communications 13, doi:10.1038/s41467-022-29523-x.
   Web of Science ®Google Scholar
• Gao, Yunhao, Feng Gao, Junyu Dong, and Shengke Wang. 2019. “Transferred Deep Learning for sea ice Change Detection from Synthetic-Aperture Radar Images.” IEEE Geoscience and Remote Sensing Letters 16 (10): 1655–1659.
   Web of Science ®Google Scholar
• Gu, Wei, Zhihan Lv, and Ming Hao. 2017. “Change Detection Method for Remote Sensing Images Based on an Improved Markov Random Field.” Multimedia Tools and Applications 76 (17): 17719–17734.
   Web of Science ®Google Scholar
• Gunnarsson, Bjørn. 2013. “Knowledge Transfer and Cooperation on Shipping and Logistics in the High North.” Futures of Northern Cross-Border Collaboration: 61–76.
   Google Scholar
• Hamid, Sawsan A., Rana A. Abdalrahman, Inam A. Lafta, and Israa A. Barazanchi. 2019. “Distance and Travel Time Modeling in High-Level Picker-To-Part Systems (3-D Warehouses).” Journal of Southwest Jiaotong University 54 (6): 1–10.
   Google Scholar
• Han, Yanling, Yekun Liu, Zhonghua Hong, Yun Zhang, Shuhu Yang, and Jing Wang. 2021. “Sea Ice Image Classification Based on Heterogeneous Data Fusion and Deep Learning.” Remote Sensing 13 (4): 592–605.
   Web of Science ®Google Scholar
• Hart, P. E., N. J. Nilsson, and B. Raphael. 1972. “A Formal Basis for the Heuristic Determination of Minimum Cost Paths.” IEEE Transactions on Systems Science & Cybernetics 4 (2): 28–29.
   Google Scholar
• Haydari, Ammar, and Yasin Yilmaz. 2020. “Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey.” IEEE Transactions on Intelligent Transportation Systems 31: 585–589.
   Google Scholar
• Hinton, Geoffrey E., and Ruslan R. Salakhutdinov. 2006. “Reducing the Dimensionality of Data with Neural Networks.” Science 313 (5786): 504–507.
   PubMed Web of Science ®Google Scholar
• Jegou, Herve, Matthijs Douze, and Cordelia Schmid. 2011. “Product Quantization for Nearest Neighbor Search.” IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (1): 117–128.
   PubMed Web of Science ®Google Scholar
• Kang, Tian, Shaodian Zhang, Youlan Tang, Gregory W. Hruby, Alexander Rusanov, Noémie Elhadad, and Chunhua Weng. 2017. “EliIE: An Open-Source Information Extraction System for Clinical Trial Eligibility Criteria.” Journal of the American Medical Informatics Association 24 (6): 1062–1071.
   PubMed Web of Science ®Google Scholar
• Khaleghian, Salman, Habib Ullah, Thomas Kræmer, Nick Hughes, Torbjørn Eltoft, and Andrea Marinoni. 2021. “Sea ice Classification of SAR Imagery Based on Convolution Neural Networks.” Remote Sensing 13 (9): 1–20.
   PubMed Web of Science ®Google Scholar
• Kotovirta, V., R. Jalonen, L. Axell, K. Riska, and R. Berglund. 2009. “A System for Route Optimization in ice-Covered Waters.” Cold Regions Science and Technology 55 (1): 52–62.
   Web of Science ®Google Scholar
• Lample, Guillaume, and Devendra S. Chaplot. 2017. Playing FPS games with deep reinforcement learning.” In Thirty-First AAAI Conference on Artificial Intelligence.
   Google Scholar
• Li, Jinxiao, Qing Bao, Yimin Liu, Guoxiong Wu, Lei Wang, Bian He, Xiaocong Wang, Jing Yang, Xiaofei Wu, and Zili Shen. 2021. “Dynamical Seasonal Prediction of Tropical Cyclone Activity Using the FGOALS-f2 Ensemble Prediction System.” Weather and Forecasting 36 (5): 1759–1778.
   Web of Science ®Google Scholar
• Li, Xin, Tao Che, Xinwu Li, Lei Wang, Anmin Duan, Donghui Shangguan, Xiaoduo Pan, Miao Fang, and Qing Bao. 2020. “CASEarth Poles: Big Data for the Three Poles.” Bulletin of the American Meteorological Society 101 (9): E1475–E1491.
   Web of Science ®Google Scholar
• Li, Xin, Guodong Cheng, Liangxu Wang, Juanle Wang, Youhua Ran, Tao Che, Guoqing Li, Honglin He, Qiang Zhang, and Xiaoyi Jiang. 2021. “Boosting Geoscience Data Sharing in China.” Nature Geoscience 14 (8): 541–542.
   Web of Science ®Google Scholar
• Li, Jiayi, Xin Huang, and Jianya Gong. 2019. “Deep Neural Network for Remote-Sensing Image Interpretation: Status and Perspectives.” National Science Review 6 (6): 1082–1086.
   PubMed Web of Science ®Google Scholar
• Li, Xiaofeng, Bin Liu, Gang Zheng, Yibin Ren, Shuangshang Zhang, Le Gao Yingjie Liu, Yuhai Liu, Bin Zhang, and Fan Wang. 2020. “Deep-learning-based Information Mining from Ocean Remote-Sensing Imagery.” National Science Review 7 (10): 1584–1605.
   PubMed Web of Science ®Google Scholar
• Li, Wenwen, and Sizhe Wang. 2017. “PolarGlobe: A web-Wide Virtual Globe System for Visualizing Multidimensional, Time-Varying, big Climate Data.” International Journal of Geographical Information Science 31 (8): 1562–1582.
   Web of Science ®Google Scholar
• Li, Songnian, Chenfeng Xiong, and Ziqiang Ou. 2011. “A Web GIS for sea ice Information and an ice Service Archive.” Transactions in GIS 15 (2): 189–211.
   Web of Science ®Google Scholar
• Liu, Huiying, Huadong Guo, and Lu Zhang. 2015. “SVM-Based Sea Ice Classification Using Textural Features and Concentration from RADARSAT-2 Dual-Pol ScanSAR Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (4): 1601–1613.
   Web of Science ®Google Scholar
• Lohse, Johannes, Anthony P. Doulgeris, and Wolfgang Dierking. 2021. “Incident Angle Dependence of Sentinel-1 Texture Features for Sea Ice Classification.” Remote Sensing 13 (4): 1–19.
   PubMed Web of Science ®Google Scholar
• Long, Jonathan, Evan Shelhamer, and Trevor Darrell. 2015. “Fully Convolutional Networks for Semantic Segmentation.” IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (4): 640–651.
   Web of Science ®Google Scholar
• Lyu, Hangyu, Weimin Huang, and Masoud Mahdianpari. 2022. “A Meta-Analysis of Sea Ice Monitoring Using Spaceborne Polarimetric SAR: Advances in the Last Decade.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15: 6158–6179.
   Web of Science ®Google Scholar
• Ma, Long, Lei An, Xiaohui Zhang, Zhongyi Zheng, Zhenghua Li, and Guanwen Chen. 2019. “Navigable Window Dataset of the Arctic Northeast Passage (2006–2015).” Journal of Global Change Data & Discovery 3 (3): 244–250.
   Google Scholar
• Mäkynen, Marko, Stefan Kern, Anja Rösel, and Leif Toudal Pedersen. 2014. “On the Estimation of Melt Pond Fraction on the Arctic Sea ice with ENVISAT WSM Images.” IEEE Transactions on Geoscience and Remote Sensing 52 (11): 7366–7379.
   Web of Science ®Google Scholar
• Mannarini, G., G. Coppini, P. Oddo, and N. Pinardi. 2013. “A Prototype of Ship Routing Decision Support System for an Operational Oceanographic Service.” TransNav: International Journal on Marine Navigation and Safety of Sea Transportation 7 (1): 53–59.
   Google Scholar
• Mannarini, G., G. Coppini, P. Oddo, and N. Pinardi. 2019. “Preliminary Inter-Comparison of AIS Data and Optimal Ship Tracks.” TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation 13 (1).
   Web of Science ®Google Scholar
• Mikołajczyk, Agnieszka, and Michał Grochowski. 2018. Data augmentation for improving deep learning in image classification problem.” Paper presented at the 2018 international interdisciplinary PhD workshop (IIPhDW), Świnoujście.
   Google Scholar
• Minaee, Shervin, Yuri Y. Boykov, Fatih Porikli, Antonio J. Plaza, Nasser Kehtarnavaz, and Demetri Terzopoulos. 2021. “Image Segmentation Using Deep Learning: A Survey.” IEEE Transactions on Pattern Analysis and Machine Intelligence 1: 1–1.
   Google Scholar
• Mirończuk, Marcin Michał. 2018. “The BigGrams: The Semi-Supervised Information Extraction System from HTML: An Improvement in the Wrapper Induction.” Knowledge and Information Systems 54 (3): 711–776.
   Web of Science ®Google Scholar
• Mnih, Volodymyr, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, and Georg Ostrovski. 2015. “Human-level Control Through Deep Reinforcement Learning.” Nature 518 (7540): 529–533.
   PubMed Web of Science ®Google Scholar
• Mulherin, Nathan D., Devinder S. Sodhi, and Duane T. Eppler. 1999. NSRSIM2A: a time and cost prediction model for Northern Sea Route Shipping, Paper presented at International Northern Sea Route Programme (INSROP), March.
   Google Scholar
• Nam, Jong H., Inha Park, Ho J. Lee, Mi O. Kwon, Kyungsik Choi, and Young K. Seo. 2013. “Simulation of Optimal Arctic Routes Using a Numerical sea ice Model Based on an ice-Coupled Ocean Circulation Method.” International Journal of Naval Architecture and Ocean Engineering 5 (2): 210–226.
   Web of Science ®Google Scholar
• Numbisi, Frederick N., Frieke V. Coillie, and Robert D. Wulf. 2019. “Delineation of Cocoa Agroforests Using Multiseason Sentinel-1 SAR Images: A low Grey Level Range Reduces Uncertainties in GLCM Texture-Based Mapping.” ISPRS International Journal of Geo-Information 8 (4): 1–25.
   Web of Science ®Google Scholar
• Öztürk, Şaban, and Bayram Akdemir. 2018. “Application of Feature Extraction and Classification Methods for Histopathological Image Using GLCM, LBP, LBGLCM, GLRLM and SFTA.” Procedia Computer Science 132: 40–46.
   Google Scholar
• Pan, Xiaoduo, Xuejun Guo, Xin Li, Xiaolei Niu, Xiaojuan Yang, Min Feng, Tao Che, Rui Jin, Youhua Ran, and Jianwen Guo. 2021. “National Tibetan Plateau Data Center: Promoting Earth System Science on the Third Pole.” Bulletin of the American Meteorological Society 102 (11): E2062–E2078.
   Web of Science ®Google Scholar
• Qin, Chengzhi, Lijun Zhan, and Axing Zhu. 2014. “How to Apply the Geospatial Data Abstraction Library (GDAL) Properly to Parallel Geospatial Raster I/O?” Transactions in GIS 18 (6): 950–957.
   Web of Science ®Google Scholar
• Radhakrishnan, Keerthijan, Andrea Scott, and David Clausi. 2021. “Sea Ice Concentration Estimation: Using Passive Microwave and SAR Data with a U-net and Curriculum Learning.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing PP 99: 1–1.
   Google Scholar
• Reichstein, Markus, Gustau Camps-Valls, Bjorn Stevens, Martin Jung, Joachim Denzler, and Nuno Carvalhais. 2019. “Deep Learning and Process Understanding for Data-Driven Earth System Science.” Nature 566 (7743): 195–204.
   PubMed Web of Science ®Google Scholar
• Ren, Yibin, Xiaofeng Li, Xiaofeng Yang, and Huan Xu. 2021. “Development of a Dual-Attention U-Net Model for Sea Ice and Open Water Classification on SAR Images.” IEEE Geoscience and Remote Sensing Letters. doi:10.1109/TGRS.2022.3177600.
   Web of Science ®Google Scholar
• Ronneberger, Olaf, Philipp Fischer, and Thomas Brox. 2015. U-net: Convolutional networks for biomedical image segmentation.” Paper presented at the International Conference on Medical image computing and computer-assisted intervention.
   Google Scholar
• Şahin, Bekir. 2019. “Route Prioritization by Using Fuzzy Analytic Hierarchy Process Extended Dijkstra Algorithm.” Journal of ETA Maritime Science 7 (1): 3–15.
   Google Scholar
• Sallab, Ahmad EL, Mohammed Abdou, Etienne Perot, and Senthil Yogamani. 2017. “Deep Reinforcement Learning Framework for Autonomous Driving.” Electronic Imaging 29 (19): 70–76.
   Google Scholar
• Shyu, Wen-Hwa, and Ji-Feng Ding. 2016. “Key Factors Influencing the Building of Arctic Shipping Routes.” Journal of Navigation 69 (6): 1261–1277.
   Web of Science ®Google Scholar
• Silver, David, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George V. D. Driessche, and Julian Schrittwieser. 2017. “Mastering the Game of Go without Human Knowledge.” Nature 550 (7676): 354–359.
   PubMed Web of Science ®Google Scholar
• Stoddard, M. A., L. Etienne, M. Fournier, R. Pelot, and L. Beveridge. 2017. “Making Sense of Arctic Maritime Traffic Using the Polar Operational Limits Assessment Risk Indexing System (POLARIS).” IOP Conference Series: Earth and Environmental Ence 34 (1): 012034.
   Google Scholar
• Tan, Weikai, Jonathan Li, Linlin Xu, and Michael A. Chapman. 2018. “Semiautomated Segmentation of Sentinel-1 SAR Imagery for Mapping sea ice in Labrador Coast.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11 (5): 1419–1432.
   Web of Science ®Google Scholar
• Tang, Xueying, Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying. 2019. “A Reinforcement Learning Approach to Personalized Learning Recommendation Systems.” British Journal of Mathematical and Statistical Psychology 72 (1): 108–135.
   PubMed Web of Science ®Google Scholar
• Thoman, Richard L., Jacqueline Richter-Menge, and Matthew L. Druckenmiller. 2020. “NOAA Arctic Report Card 2020 Executive Summary.” doi:10.25923/mn5p-t549.
   Google Scholar
• Trishchenko, Alexander P, and Yi Luo. 2021. “Landfast Ice Mapping Using MODIS Clear-Sky Composites: Application for the Banks Island Coastline in Beaufort Sea and Comparison with Canadian Ice Service Data.” Canadian Journal of Remote Sensing 47 (1): 143–158.
   Web of Science ®Google Scholar
• Tsou, Ming C., and Hung C. Cheng. 2013. “An Ant Colony Algorithm for Efficient Ship Routing.” Polish Maritime Research 20 (3): 28–38. doi:10.2478/pomr-2013-0032.
   Web of Science ®Google Scholar
• Vettor, Roberto, and C. Guedes Soares. 2016. “Development of a Ship Weather Routing System.” Ocean Engineering 123: 1–14.
   Web of Science ®Google Scholar
• Volodymyr, Mnih, Kavukcuoglu Koray, Silver David, Andrei A. Rusu, Veness Joel, Marc G. Bellemare, Graves Alex, Riedmiller Martin, Andreas K. Fidjeland, and Ostrovski Georg. 2015. “Human-level Control Through Deep Reinforcement Learning.” Nature 518 (7540): 529–533.
   PubMed Web of Science ®Google Scholar
• Wang, Lei, K. Andrea Scott, and David A. Clausi. 2017. “Sea ice Concentration Estimation During Freeze-up from SAR Imagery Using a Convolutional Neural Network.” Remote Sensing 9 (5): 1–10.
   Web of Science ®Google Scholar
• Wang, Yanjun, Fuchao Li, Bin Zhang, and Xiaofeng Li. 2022. “Development of a Component-Based Interactive Visualization System for the Analysis of Ocean Data.” Big Earth Data 6 (2): 219–235.
   Google Scholar
• Wang, Yangjun, Ren Zhang, and Longxia Qian. 2018. “An Improved A* Algorithm Based on Hesitant Fuzzy Set Theory for Multi-Criteria Arctic Route Planning.” Symmetry 10 (12): 1–10.
   Google Scholar
• Wang, Shupeng, Weigang Zhao, Guangyuan Zhang, Hongbin Xu, and Yanliang Du. 2021. “Identification of Structural Parameters from Free Vibration Data Using Gabor Wavelet Transform.” Mechanical Systems and Signal Processing 147: 1–10.
   Web of Science ®Google Scholar
• Wu, Adan, Tao Che, Xin Li, and Xiaowen Zhu. 2022. “A Ship Navigation Information Service System for the Arctic Northeast Passage Using 3D GIS Based on big Earth Data.” Big Earth Data: 1–27. doi:10.1080/20964471.2021.1981197.
   Google Scholar
• Wu, Adan, Jianwen Guo, and Pengfei Yang. 2020. “Research on Data Sharing Architecture for Ecological Monitoring Using Iot Streaming Data.” IEEE Access 8: 195385–195397.
   Web of Science ®Google Scholar
• Xu, Yan, and K. Andrea Scott. 2017. Sea ice and open water classification of sar imagery using cnn-based transfer learning.” Paper presented at the 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, United States, July 23 - 28.
   Google Scholar
• Xu, Hua, and Dong Yang. 2020. “LNG-fuelled Container Ship Sailing on the Arctic Sea: Economic and Emission Assessment.” Transportation Research Part D: Transport and Environment 87: 1–12.
   Web of Science ®Google Scholar
• Yu, Xinwen, Hongyu Liu, Yanchen Yang, Xu Zhang, and Yingwu Li. 2012. GeoServer based forestry spatial data sharing and integration.” Paper presented at the International Conference on Sustainable Energy and Environmental Engineering (ICSEEE 2012), Guangzhou, China, December 29–30.
   Google Scholar
• Yumashev, Dmitry, Karel V. Hussen, Johan Gille, and Gail Whiteman. 2017. “Towards a Balanced View of Arctic Shipping: Estimating Economic Impacts of Emissions from Increased Traffic on the Northern Sea Route.” Climatic Change 143 (1): 143–155.
   Web of Science ®Google Scholar
• Zakhvatkina, Natalia, Anton Korosov, Stefan Muckenhuber, Stein Sandven, and Mohamed Babiker. 2017. “Operational Algorithm for ice–Water Classification on Dual-Polarized RADARSAT-2 Images.” The Cryosphere 11 (1): 33–46.
   Web of Science ®Google Scholar
• Zhang, Bin, Fuchao Li, Gang Zheng, Yanjun Wang, Zhetao Tan, and Xiaofeng Li. 2021. “Developing big Ocean System in Support of Sustainable Development Goals: Challenges and Countermeasures.” Big Earth Data 5 (4): 557–575.
   Google Scholar
• Zhang, Minyang, Di Zhang, Shanshan Fu, Xinping Yan, and Chi Zhang. 2017. A method for planning Arctic sea routes under multi-constraint conditions.” Paper presented at the The 24th International Conference on Port and Ocean Engineering under Arctic Conditions, Busan, South Korea, June 11–17.
   Google Scholar
• Zhang, Chi, Di Zhang, Mingyang Zhang, and WenGang Mao. 2019. “Data-Driven Ship Energy Efficiency Analysis and Optimization Model for Route Planning in Ice-Covered Arctic Waters.” Ocean Engineering 186: 1–10.
   Web of Science ®Google Scholar
• Zhao, Jiechen, Jingjing Cheng, Zhongxiang Tian, Xiaopeng Han, Hui Shen, Guanghua Hao, Honglin Guo, and Qi Shu. 2022. “Snow and Ice Thicknesses Derived from Fast Ice Prediction System Version 2.0 (FIPS V2. 0) in Prydz Bay, East Antarctica: Comparison with in-Situ Observations.” Big Earth Data: 1–12. doi:10.1080/20964471.2021.1965371.
   Google Scholar
• Zhu, Xinni, Wenzhang Cao, and Wanzheng Ai. 2018. “The Study on Necessity of Actively Participating in Opening up the Arctic Northeast Passage.” IOP Conference Series: Earth and Environmental Science 189 (6): 062042.
   Google Scholar
• Zvyagin, Petr, and Anna Voitkunskaia. 2016. Model of transit transport in arctic based on graph algorithms.” Paper presented at the Asme International Conference on Ocean, Trondheim, Norway, June 18–21.
   Google Scholar
• Zvyagina, T., and P. Zvyagin. 2022. “A Model of Multi-Objective Route Optimization for a Vessel in Drifting ice.” Reliability Engineering & System Safety 218: 108147.
   Web of Science ®Google Scholar