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NASA NTRS · Technical Memorandum (TM)
Autonomous Drone Integration in Prescribed Fire Operations
Attribution
This is the abstract and citation. Full text lives at NASA NTRS — we link out rather than host. All credit to the authors and Ames Research Center.
Abstract
Verbatim from NASA NTRS. Not paraphrased, not summarized.
With the surge in wildfire frequency and severity, the risk to firefighters, communities, and forests has escalated dramatically. Climate change and increased amounts of fuel have intensified these challenges, making wildfire management more important than ever. Prescribed burns, a controlled manner of burning land, are a crucial strategy for wildfire prevention, ecosystem management, and forest health. Nonetheless, traditional methods of implementing prescribed burns are labor-intensive, slow, and risk-laden due to human involvement. Our innovative approach leverages autonomous drone swarms to revolutionize prescribed burning methods. These advanced drones collaborate to ignite fires strategically, gather real-time data, and suppress sections of the fire as needed. By minimizing human proximity to the flames, our solution has the potential to significantly enhance operational efficiency and safety.
Authors
- Chance Buchmann Leigh High School
- Ken Takano Woodbridge High School
- Landon Campbell East High School
- Meera Bhaskar Monta Vista High School
- Ryan Modafe Saratoga High School
- Yashika Hegde Mission San Jose High School
Keywords
- UAV systems
- wildfire management
Citation: Chance Buchmann, Ken Takano, Landon Campbell , et al. (2024). Autonomous Drone Integration in Prescribed Fire Operations. Ames Research Center. NASA NTRS ID 20240010585. https://ntrs.nasa.gov/citations/20240010585 ↗