A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management

Wildfires have emerged as one of the most destructive natural disasters worldwide, causing catastrophic losses. These losses have underscored the urgent need to improve public knowledge and advance existing techniques in wildfire management. Recently, the use of Artificial Intelligence (AI) in wildf...

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Bibliographic Details

Published in:	Information fusion Vol. 108; p. 102369
Main Authors:	Boroujeni, Sayed Pedram Haeri, Razi, Abolfazl, Khoshdel, Sahand, Afghah, Fatemeh, Coen, Janice L., O’Neill, Leo, Fule, Peter, Watts, Adam, Kokolakis, Nick-Marios T., Vamvoudakis, Kyriakos G.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2024
Subjects:	Artificial intelligence (AI) Computer vision Deep learning (DL) Machine learning Reinforcement learning (RL) Unmanned aerial vehicle (UAV) Wildfire management Computer vision Wildfire management Unmanned aerial vehicle (UAV) Artificial intelligence (AI) Machine learning Reinforcement learning (RL) Deep learning (DL)
ISSN:	1566-2535, 1872-6305
Online Access:	Get full text
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