IDEAS home Printed from https://ideas.repec.org/a/gam/jresou/v6y2017i3p35-d106121.html
   My bibliography  Save this article

The Ortelius Incident in the Hinlopen Strait—A Case Study on How Satellite-Based AIS Can Support Search and Rescue Operations in Remote Waters

Author

Listed:
  • Johnny Grøneng Aase

    (Institute for Marine and Antarctic Studies, University of Tasmania, Private Bag 129, Hobart, TAS 7001, Australia
    Department of Research and Development, Norwegian Defence Cyber Academy, P.O. Box 800, Postmottak, NO-2617 Lillehammer, Norway)

Abstract

In this paper, Automatic Identification System (AIS) data collected from space is used to demonstrate how the data can support search and rescue (SAR) operations in remote waters. The data was recorded by the Norwegian polar orbiting satellite AISSat-1. This is a case study discussing the Ortelius incident in Svalbard in early June 2016. The tourist vessel flying the flag of Cyprus experienced engine failure in a remote part of the Arctic Archipelago. The passengers and crew were not harmed. There were no Norwegian Coast Guard vessels in the vicinity. The Governor of Svalbard had to deploy her vessel Polarsyssel to assist the Ortelius . The paper shows that satellite-based AIS enables SAR coordination centers to swiftly determine the identity and precise location of vessels in the vicinity of the troubled ship. This knowledge makes it easier to coordinate SAR operations.

Suggested Citation

  • Johnny Grøneng Aase, 2017. "The Ortelius Incident in the Hinlopen Strait—A Case Study on How Satellite-Based AIS Can Support Search and Rescue Operations in Remote Waters," Resources, MDPI, vol. 6(3), pages 1-10, July.
    • Handle: RePEc:gam:jresou:v:6:y:2017:i:3:p:35-:d:106121
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2079-9276/6/3/35/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2079-9276/6/3/35/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shelmerdine, Richard L., 2015. "Teasing out the detail: How our understanding of marine AIS data can better inform industries, developments, and planning," Marine Policy, Elsevier, vol. 54(C), pages 17-25.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Liye & Meng, Qiang & Fang Fwa, Tien, 2019. "Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 287-304.
    2. Bai, Xiwen & Lam, Jasmine Siu Lee, 2019. "A destination choice model for very large gas carriers (VLGC) loading from the US Gulf," Energy, Elsevier, vol. 174(C), pages 1267-1275.
    3. Shucksmith, Rachel J & Shelmerdine, Richard L, 2015. "A risk based approach to non-native species management and biosecurity planning," Marine Policy, Elsevier, vol. 59(C), pages 32-43.
    4. Xin, Xuri & Liu, Kezhong & Loughney, Sean & Wang, Jin & Yang, Zaili, 2023. "Maritime traffic clustering to capture high-risk multi-ship encounters in complex waters," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    5. Vespe, Michele & Greidanus, Harm & Alvarez, Marlene Alvarez, 2015. "The declining impact of piracy on maritime transport in the Indian Ocean: Statistical analysis of 5-year vessel tracking data," Marine Policy, Elsevier, vol. 59(C), pages 9-15.
    6. Kaiser, Mark J., 2016. "Service vessel activity in the U.S. Gulf of Mexico in support of the oil and gas industry using AIS data, 2009–2010," Marine Policy, Elsevier, vol. 63(C), pages 61-80.
    7. Mou, Naixia & Wang, Chunying & Yang, Tengfei & Ren, Haonan & Zhang, Lingxian & Xu, Huanqing & Liu, Wenbao, 2022. "Spatiotemporal patterns of maritime trade between China and Maritime Silk Road: Evidence from a quantitative study using social network analysis," Journal of Transport Geography, Elsevier, vol. 102(C).
    8. Kaiser, Mark J., 2015. "Offshore Service Vessel activity forecast and regulatory modeling in the U.S. Gulf of Mexico, 2012–2017," Marine Policy, Elsevier, vol. 57(C), pages 132-146.
    9. Jakub Montewka & Floris Goerlandt & Mikko Lensu & Lauri Kuuliala & Robert Guinness, 2019. "Toward a hybrid model of ship performance in ice suitable for route planning purpose," Journal of Risk and Reliability, , vol. 233(1), pages 18-34, February.
    10. Cai, Mingyou & Zhang, Jinfen & Zhang, Di & Yuan, Xiaoli & Soares, C. Guedes, 2021. "Collision risk analysis on ferry ships in Jiangsu Section of the Yangtze River based on AIS data," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    11. Naixia Mou & Chunying Wang & Tengfei Yang & Lingxian Zhang, 2020. "Evaluation of Development Potential of Ports in the Yangtze River Delta Using FAHP-Entropy Model," Sustainability, MDPI, vol. 12(2), pages 1-24, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jresou:v:6:y:2017:i:3:p:35-:d:106121. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.