Stereo-optic High Definition Imaging: A Technology to Understand Bird Avoidance of Wind Turbines
Evan Adams
Biodiversity Research Institute
Evan is quantitative ecologist at the Biodiversity Research Institute and the University of Washington. His main concentration is in describing changes to wildlife populations over time and space in a variety of ecosystems and over a range of life stages. Of particular interest is thinking about how to quantify population changes of migratory animals, describe interspecies relationships in statistical models, and integrate diverse data sets together to increase the scope and scale of analytical inference in wildlife studies. In the wind power community, Evan has worked on projects describing hotspots of animal abundance in the marine environment, the relationship of seabird movement behavior to environmental conditions, and evaluating the efficacy of stereo-optic camera systems designed to describe animal movement around wind turbines.
Abstract
Monitoring bird interactions with wind turbines is a challenge in any environment. New technologies are needed to document bird behavior around turbines at a variety of spatial scales, particularly those that can identify... [ view full abstract ]
Monitoring bird interactions with wind turbines is a challenge in any environment. New technologies are needed to document bird behavior around turbines at a variety of spatial scales, particularly those that can identify species of conservation concern, quantify movement patterns accurately, and consistently monitor turbines in a variety of environmental conditions. As Bald and Golden Eagles are significant issues for wind farm permitting in terrestrial environments, we focused our development efforts on these species to improve the opportunities for mitigating collision risk and understanding the mechanism of turbine avoidance. To address this need, a collaboration between Biodiversity Research Institute, HiDef Aerial Surveying, Sun Edison, and the University of Maine has been developing a stereo-optic high definition camera system designed to detect animals then track their movements around wind turbines. Using motion segmentation, this system can automatically detect moving objects and mask aspects of the image that are not moving allowing focus on objects of interest. The system employs two offset ultra-high definition cameras to create a stereo-optic view of the area surrounding the turbine for estimating the position of animals in each frame they are observed. To assess the camera system’s ability to detect and track eagles in 3-D, the system was deployed at an operational wind farm as well as sites with high eagle activity in Maine. Here, we report on the results of the efficacy of the system in detecting eagles and other birds around turbines and other study sites. Eagles were consistently detected by the system, which allowed for position estimation. Further developments to the camera system should provide enhanced capabilities for filtering objects, in turn improving eagle detection. Understanding eagle (and other protected species) movements around wind farms will be important for reducing permitting uncertainty for developers and reducing the adverse effects of wind energy development to birds.
Authors
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Evan Adams
(Biodiversity Research Institute)
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Steve Burns
(HiDef Aerial Surveying Limited)
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Emily Connelly
(Biodiversity Research Institute)
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Christopher Dorr
(University of Maine)
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Melissa Duron
(Biodiversity Research Institute)
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Andrew Gilbert
(Biodiversity Research Institute)
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M. Wing Goodale
(Biodiversity Research Institute)
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Reinhard Moratz
(University of Maine)
Topic Areas
Evaluating novel approaches (e.g., conceptual, methodological, technological) to avoiding, , Birds , Eagles , Raptors , Threatened or endangered species , U.S. - No Specific Region , Impact assessment , Mitigation , Methodology , Technology - detection or deterrent , Land-based , Offshore
Session
12 » Using Advanced Technologies to Study and Minimize Impacts (10:05 - Friday, 2nd December, Interlocken Ballroom)