IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Forest Firefighting Monitoring System Based on UAV Team and Remote Sensing

Forest Firefighting Monitoring System Based on UAV Team and Remote Sensing
View Sample PDF
Author(s): Maryna Zharikova (Kherson National Technical University, Ukraine)and Vladimir Sherstjuk (Kherson National Technical University, Ukraine)
Copyright: 2019
Pages: 22
Source title: Automated Systems in the Aviation and Aerospace Industries
Source Author(s)/Editor(s): Tetiana Shmelova (National Aviation University, Ukraine), Yuliya Sikirda (Kirovograd Flight Academy of the National Aviation University, Ukraine), Nina Rizun (Gdansk University of Technology, Poland), Dmytro Kucherov (National Aviation University, Ukraine)and Konstantin Dergachov (National Aerospace University – Kharkiv Aviation Institute, Ukraine)
DOI: 10.4018/978-1-5225-7709-6.ch008

Purchase

View Forest Firefighting Monitoring System Based on UAV Team and Remote Sensing on the publisher's website for pricing and purchasing information.

Abstract

In this chapter, the authors propose an approach to using a heterogeneous team of unmanned aerial vehicles and remote sensing techniques to perform tactical forest firefighting operations. The authors present the three-level architecture of the multi-UAV-based forest firefighting monitoring system; features of patrolling, confirming, and monitoring missions; as well as functions of UAV in such missions. The authors consider an infrastructure for the UAV ground support and equipment used for the UAVs control. The method of the data integration into a fire-spreading model in a real-time DSS for the forest fire response is proposed. The proposed approach has been tested with the multi-UAV team that included three drones for the patrol missions, one helicopter for the confirmation mission, and one octocopter for the monitoring mission. The performance of such multi-UAV team has been studied in the laboratory conditions. The result of the experiment has shown that the proposed approach provides required credibility and efficiency of fire prediction and response.

Related Content

Suthagar S., Gopalakrishnan K., Kumaran T., Praveen Kumar. © 2022. 25 pages.
Surekha Rathi Samundi D.. © 2022. 29 pages.
Kaliappan S., Raj Kamal M. D., Balaji V., Socrates S., Andrii Kondratiev. © 2022. 18 pages.
Kumaran T., Sivarasan E. N.. © 2022. 14 pages.
Madhankumar G., Mothilal T., Kumar K. M., Muralidharan G., Mala D.. © 2022. 41 pages.
Kaliappan S., Raj Kamal M. D., Joseph Manuel D., Balaji V., Murugan P.. © 2022. 13 pages.
Suresh Chinnasamy, Paramaguru Venugopal, Ramesh Kasimani. © 2022. 15 pages.
Body Bottom