Evaluation of Environmental Data for Search and Rescue II

被引:0
|
作者
Roarty, Hugh [1 ]
Allen, Arthur [2 ]
Glenn, Scott [1 ]
Kohut, Josh [1 ]
Nazzaro, Laura [1 ]
Fredj, Erick [3 ]
机构
[1] Rutgers State Univ, Ctr Ocean Observing Leadership, New Brunswick, NJ 08901 USA
[2] US Coast Guard, Off Search & Rescue, New London, CT 06320 USA
[3] Jerusalem Coll Technol, Dept Comp Sci, Jerusalem, Israel
来源
2018 OCEANS - MTS/IEEE KOBE TECHNO-OCEANS (OTO) | 2018年
关键词
remote sensing; radar; MARACOOS; geoscience; oceans; currents;
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The Mid Atlantic Ocean Observing System (MARACOOS) conducted a validation experiment of its High Frequency radar network from May 10 to July 12, 2016. The goal of the experiment was to evaluate its two surface current products, test quality control software and algorithms and evaluate new bistatic data streams. The experiment was conducted in collaboration with the United States Coast Guard Office of Search and Rescue and RPS an environmental consulting company. The Coast Guard provided 9 drifters that were deployed in the coverage area of the radar network. Six were deployed south of Martha's Vineyard and 3 were deployed off New Jersey, which focused on the validation of the 13 MHz network. The position data from the drifters was used to generate surface drift velocity estimates. These velocity estimates were compared against the radial velocity measurements of the radars. The actual path of the drifters over 48 hours was compared against virtual paths generated using the radar currents and other surface current estimates. The Lagrangian skill score was computed for several different surface current products. The regional surface current product from MARACOOS proved to be the best at predicting the path of the drifters.
引用
收藏
页数:3
相关论文
共 50 条
  • [41] Search and rescue in Australia
    Whitehead, Jim
    AUSTRALIAN JOURNAL OF EMERGENCY MANAGEMENT, 2015, 30 (01): : 43 - 45
  • [42] SURVIVE THE SEARCH AND RESCUE
    GRIGGS, TR
    MANNING, J
    FIRE SERVICE TODAY, 1983, 50 (05): : 11 - 13
  • [43] SEARCH, RESCUE, AND EVACUATION
    BARBERA, JA
    CADOUX, CG
    CRITICAL CARE CLINICS, 1991, 7 (02) : 321 - 337
  • [44] Evaluation method for helicopter maritime search and rescue response plan with uncertainty
    Hu LIU
    Zikun CHEN
    Yongliang TIAN
    Bin WANG
    Hao YANG
    Guanghui WU
    Chinese Journal of Aeronautics, 2021, (04) : 493 - 507
  • [45] RoBoa: Construction and Evaluation of a Steerable Vine Robot for Search and Rescue Applications
    der Maur, Pascal Auf
    Djambazi, Betim
    Haberthuer, Yves
    Hoermann, Patricia
    Kuebler, Alexander
    Lustenberger, Michael
    Sigrist, Samuel
    Vigen, Oda
    Foerster, Julian
    Achermann, Florian
    Hampp, Elias
    Katzschmann, Robert K.
    Siegwart, Roland
    2021 IEEE 4TH INTERNATIONAL CONFERENCE ON SOFT ROBOTICS (ROBOSOFT), 2021, : 15 - 20
  • [46] Evaluation method for helicopter maritime search and rescue response plan with uncertainty
    Liu, Hu
    Chen, Zikun
    Tian, Yongliang
    Wang, Bin
    Yang, Hao
    Wu, Guanghui
    CHINESE JOURNAL OF AERONAUTICS, 2021, 34 (04) : 493 - 507
  • [47] Urban search and rescue
    1600, (06):
  • [48] Evaluation method for helicopter maritime search and rescue response plan with uncertainty
    Hu LIU
    Zikun CHEN
    Yongliang TIAN
    Bin WANG
    Hao YANG
    Guanghui WU
    Chinese Journal of Aeronautics, 2021, 34 (04) : 493 - 507
  • [49] Standards for search and rescue
    Harrison, Gene
    Standardization News, 1994, 22 (03):
  • [50] An Evaluation of AR-Assisted Navigation for Search and Rescue in Underground Spaces
    Demirkan, Doga Cagdas
    Duzgun, Sebnem
    ADJUNCT PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR-ADJUNCT 2020), 2020, : 3 - 4