TY - JOUR
TI - Automated Detection and Tracking of Marine Mammals in the Vicinity of Tidal Turbines Using Multibeam Sonar
AU - Gillespie, D
AU - Hastie, G
AU - Montabaranom, J
AU - Longden, E
AU - Rapson, K
AU - Holoborodko, A
AU - Sparling, C
T2 - Journal of Marine Science and Engineering
AB - Understanding how marine animals behave around tidal turbines is essential if we are to quantify how individuals and populations may be affected by the installation of these devices in the coming decades. Our particular interest is in collision risk, and how this may be affected by the fine-scale behaviour of seals and small cetacean species around devices. We report on a study in which multibeam sonar data were collected close to an operational tidal turbine in Scotland continuously over a twelve-month period. The sonars provide high-resolution (a few cm) data over a 120° angle out to a range of 55 m at a rate of 10 frames per second. We describe a system which uses automatic computer algorithms to detect potential targets of interest, verified by human analysts using a sophisticated computer user interface to confirm detections and assign target species. To date, we have identified 359 tracks of marine mammals in the data, as well as several thousand tracks from fish and diving birds. These are currently being parameterised to study how these species react to the moving turbine rotors, and the data are now being used to explore the development of improved automated detection and classification algorithms. 
DA - 2023/11//
PY - 2023
VL - 11
IS - 11
SP - 12
UR - https://www.mdpi.com/2077-1312/11/11/2095
DO - 10.3390/jmse11112095
LA - English
KW - Marine Energy
KW - Tidal
KW - Collision
KW - Marine Mammals
ER -