Is this project an undergraduate, graduate, or faculty project?
Graduate
group
What campus are you from?
Daytona Beach
Authors' Class Standing
Graduate Student
Lead Presenter's Name
Jose Cabrera
Faculty Mentor Name
Dr. Flavio Mendonca
Abstract
All airports must conduct a wildlife hazard assessment (WHA) when wildlife strikes occur near or at the airport if they are operating under Part 139. The WHA requires a Qualified airport biologist (QAWB) to conduct a WHA that includes identifying the type of species, their numbers, and possible attractants. This study investigates how we can safely use Unmanned Aircraft Systems during a WHA to quickly and efficiently observe, assess, and identify wildlife species and potential wildlife attractants. Our team used a DJI Mavic 2 Enterprise Dual with a FLIR sensor, a DJI Matrice 210, and an Anafi Ai drone to collect high-resolution still and video images during our investigation. In addition, we have created and implemented risk mitigation strategies associated with integrating UAS into the airport environment. This research enables undergraduate students to develop transferable skills valued in the aviation industry, including critical thinking, hazard recognition and assessments, human factors, self-confidence, and more. Additionally, results suggest that the versatility and speed of UAS ensure that data can be collected more thoroughly and faster over large areas during a WHA while seeing more wildlife behind foliage.
Did this research project receive funding support from the Office of Undergraduate Research.
Yes, SURF
UAS Integration for Wildlife Hazard Assessments
All airports must conduct a wildlife hazard assessment (WHA) when wildlife strikes occur near or at the airport if they are operating under Part 139. The WHA requires a Qualified airport biologist (QAWB) to conduct a WHA that includes identifying the type of species, their numbers, and possible attractants. This study investigates how we can safely use Unmanned Aircraft Systems during a WHA to quickly and efficiently observe, assess, and identify wildlife species and potential wildlife attractants. Our team used a DJI Mavic 2 Enterprise Dual with a FLIR sensor, a DJI Matrice 210, and an Anafi Ai drone to collect high-resolution still and video images during our investigation. In addition, we have created and implemented risk mitigation strategies associated with integrating UAS into the airport environment. This research enables undergraduate students to develop transferable skills valued in the aviation industry, including critical thinking, hazard recognition and assessments, human factors, self-confidence, and more. Additionally, results suggest that the versatility and speed of UAS ensure that data can be collected more thoroughly and faster over large areas during a WHA while seeing more wildlife behind foliage.