Skip to main content

Detection and Tracking of Ships in the Canadian Arctic

  • Chapter
  • First Online:
Sustainable Shipping in a Changing Arctic

Part of the book series: WMU Studies in Maritime Affairs ((WMUSTUD,volume 7))

  • 804 Accesses

Abstract

The Canadian Arctic is becoming increasingly important as climate change and economic pressures stimulate increasing activity in the region. The number of transits, cruise ships, and adventurer expeditions in this area is on the rise. Ensuring environmental, economic, archeological, defence, safety and security responsibilities in this challenging area has resulted in many recent investments including the Arctic Offshore Patrol Vessels and the RADARSAT Constellation Mission. This chapter will explore the challenges in detection and tracking of ships in the Arctic from perspectives including: ship-ice discrimination in remote sensing, sparse data tracking, effects of constrained navigation, and operational decision aids.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Amante, C., & Eakins, B. W. (2009). ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS NGDC-24. National Geophysical Data Center. NOAA. https://doi.org/10.7289/V5C8276M

  • Canada Space Agency. (2015). RADARSAT Constellation Mission description, online. Retrieved July 21, 2015, from http://www.asc-csa.gc.ca/eng/satellites/radarsat/description.asp

  • Canada’s Northern Strategy. (2013) Our north, our heritage, our future, online. Retrieved July 21, 2015, from http://www.northernstrategy.gc.ca

  • Canadian Coast Guard. (2013). Vessel traffic reporting Arctic Canada traffic Zone (NORDREG), online. Retrieved July 21, 2015, from http://www.ccg-gcc.gc.ca/eng/MCTS/Vtr_Arctic_Canada

  • Cervera, M., & Alberto, G. (2008). On the performance analysis of a satellite-based AIS system. In IEEE 10th International Workshop on Signal Processing for Space Communications.

    Google Scholar 

  • Ester, M., Kriegel, H. P., Sander, J., & Xu, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (pp. 226–231). AAI Press.

    Google Scholar 

  • Hammond, T (2014) Applications of probabilistic interpolation to ship tracking. In Proceedings of Joint Statistical Meetings (pp. 1–19).

    Google Scholar 

  • Howell, C., Power, D., Lynch, M., Dodge, K., Bobby, P., Randell, C., et al. (2008). Dual polarization detection of ships and icebergs – recent results with ENVISAT ASAR and data simulations of RADARSAT-2. In Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 206–209).

    Google Scholar 

  • Howell, C., Youden, J., Kane, K., Power, D., Randell, C., & Flett, D. (2004). Iceberg and ship discrimination with ENVISAT multipolarization ASAR. In Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), (pp. 113–116).

    Google Scholar 

  • Mazzarella, F., Vespe, M., & Santamaria, C. (2015). SAR ship detection and self-reporting data fusion based on traffic knowledge. IEEE Geoscience and Remote Sensing Letters, 12(8), 1685–1689.

    Article  Google Scholar 

  • Pallotta, G., Horn, S., Braca, P., & Bryan, K. (2014). Context-enhanced vessel prediction based on Ornstein-Uhlenbeck processes using historical AIS traffic patterns: Real-world experimental results. In Information Fusion (FUSION), 2014 17th International Conference on (pp. 1–7).

    Google Scholar 

  • Pallotta, G., Vespe, M., & Bryan, K. (2013). Vessel pattern knowledge discovery from AIS data: A framework for anomaly detection and route prediction. Entropy, 15(6), 2218–2245.

    Article  Google Scholar 

  • Papa, G., Horn, S., Braca, P., Bryan, K., & Romano, G. (2012) Estimating sensor performance and target population size with multiple sensors. In Information Fusion (FUSION), 2012 15th International Conference on (pp. 2102–2109).

    Google Scholar 

  • Reynolds, R. W., Rayner, N. A., Smith, T. M., Stokes, D. C., & Wang, W. (2002). An improved in situ and satellite SST analysis for climate. Journal of Climate, 15, 1609–1625.

    Article  Google Scholar 

  • Tunaley, J. K. E. (2011). Space-based AIS performance (Technical Report 2011-05-23-001). London Research and Development Corporation.

    Google Scholar 

  • Vachon, P. W., Kabatoff, C., & Quinn, R. (2014). Operational ship detection in Canada using RADARSAT. In Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 998–1001).

    Google Scholar 

Download references

Acknowledgements

Gratefully acknowledged is Paris W. Vachon of DRDC Ottawa Research Centre, who provided helpful comments, discussion, and reference material related to space based SAR and S-AIS. The author also acknowledges the Arctic dataset provided by the Royal Canadian Navy’s Global Position Warehouse developed and maintained by the team of Scott Syms and Andrew DeBaie. The operational ship detection capabilities of RADARSAT-2 and the RADARSAT Constellation Mission are implemented via the Department of National Defence Polar Epsilon and Polar Epsilon 2 projects, MacDonald, Dettwiler and Associates, and DRDC Ottawa Research Centre.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Steven Horn .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Her Majesty the Queen in Right of Canada 2018 as represented by the Department of National Defence

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Horn, S. (2018). Detection and Tracking of Ships in the Canadian Arctic. In: Hildebrand, L., Brigham, L., Johansson, T. (eds) Sustainable Shipping in a Changing Arctic. WMU Studies in Maritime Affairs, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-78425-0_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-78425-0_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78424-3

  • Online ISBN: 978-3-319-78425-0

  • eBook Packages: Law and CriminologyLaw and Criminology (R0)

Publish with us

Policies and ethics