survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques

• Published in: Canadian journal of forest research Vol. 45; no. 7; pp. 783 - 792
• Main Authors: Yuan, Chi, Youmin Zhang, Zhixiang Liu
• Format: Journal Article
• Language: English
• Published: Ottawa NRC Research Press 01.07.2015; Canadian Science Publishing NRC Research Press
• Subjects: and fighting; Control; detection; détection et combat des feux; Environmental monitoring; feu de forêt; fire detection; fire fighting; fire monitoring; Firefighting; Forest & brush fires; forest fire; Forest fires; Forest management; human resources; image processing; maneuverability; Methods; monitoring; prognosis; Remote sensing; surveillance; surveys; traitement des images; télédétection; Unmanned aerial vehicles; vibration; véhicules aériens sans pilote
• ISSN: 1208-6037; 0045-5067; 1208-6037
• DOI: 10.1139/cjfr-2014-0347

Because of their rapid maneuverability, extended operational range, and improved personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great potential for monitoring, detecting, and fighting forest fires. Over the last decade, UAV-based forest fire fighting technology has shown increasing promise. This paper presents a systematic overview of current progress in this field. First, a brief review of the development and system architecture of UAV systems for forest fire monitoring, detection, and fighting is provided. Next, technologies related to UAV forest fire monitoring, detection, and fighting are briefly reviewed, including those associated with fire detection, diagnosis, and prognosis, image vibration elimination, and cooperative control of UAVs. The final section outlines existing challenges and potential solutions in the application of UAVs to forest firefighting.