• DocumentCode
    2591560
  • Title

    Use of a multi-sensored AUV to telemeter tagged Atlantic sturgeon and map their spawning habitat in the Hudson River, USA

  • Author

    Grothues, Thomas M. ; Dobarro, Joseph ; Ladd, John ; Higgs, Amanda ; Niezgoda, George ; Miller, Dan

  • Author_Institution
    Rutgers University Marine Field Station, Tuckerton, NJ
  • fYear
    2008
  • fDate
    13-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    An autonomous underwater vehicle (AUV) equipped with a telemetry hydrophone was used to observe Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) in their Hudson River spawning habitat. The positions of two transmitter-tagged fish were repeatedly determined using two methods; probability plots derived from 2-dimensional matrices of received transmitter signal strength calibrated by a reference tag, and by synthetic aperture calculations. Targets thought to be additional, untagged, Atlantic sturgeon were located from sidescan echograms. Positions of tagged and untagged fish were mapped to benthic and hydrographic habitat features by matching the fish´s location with the vehicles time and spaced-referenced sensor data. Results were compared to those of surface vessel-based mobile telemetry solutions using bearing and signal strength. This case study demonstrated the usefulness of AUVs to fish telemetry in challenging conditions. The rapid survey provided focus and scaling to further efforts at understanding essential habitat for this Red Listed species.
  • Keywords
    Aquaculture; Marine animals; Rivers; Sampling methods; Sonar equipment; Telemetry; Transmitters; Underwater tracking; Underwater vehicles; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Underwater Vehicles, 2008. AUV 2008. IEEE/OES
  • Conference_Location
    Woods Hole, MA
  • ISSN
    1522-3167
  • Print_ISBN
    978-1-4244-2939-4
  • Electronic_ISBN
    1522-3167
  • Type

    conf

  • DOI
    10.1109/AUV.2008.5347597
  • Filename
    5347597