2020 International Conference on Unmanned Aircraft Systems (ICUAS) 2020
DOI: 10.1109/icuas48674.2020.9213986
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Wildfire remote sensing with UAVs: A review from the autonomy point of view

Abstract: This article analyses the state of the art on wildfire remote sensing using UAVs, an application context that has now gained significant interest. It reviews a selection of relevant publications, and proposes a classification scheme to synthesize them from an autonomy perspective. Three metrics are introduced: situation awareness, decisional ability, and collaboration ability. A discussion about the current state and the outlook of UAV systems for wildfire observation concludes the paper.

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Cited by 37 publications
(20 citation statements)
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References 33 publications
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“…UAVs can also be used for surveillance applications, including border surveillance, as they provide much broader coverage than available approaches for border surveillance. Environmental protection using UAVs, such as tracking wildfire, monitoring climate change, and the investigation of natural disasters, has increased due to the ease of implementing UAVs with various sensors such as cameras, thermal cameras, temperature sensors, and chemical sensors [116].…”
Section: Remote Sensingmentioning
confidence: 99%
“…UAVs can also be used for surveillance applications, including border surveillance, as they provide much broader coverage than available approaches for border surveillance. Environmental protection using UAVs, such as tracking wildfire, monitoring climate change, and the investigation of natural disasters, has increased due to the ease of implementing UAVs with various sensors such as cameras, thermal cameras, temperature sensors, and chemical sensors [116].…”
Section: Remote Sensingmentioning
confidence: 99%
“…Reference [17] states that this application is an active field of research with numerous experiments already performed, but with plenty of room for improvement before it can be considered sufficiently mature-especially regarding fire detection algorithms, integration, and testing under realistic conditions. The authors of [18] emphasized increased autonomy as a key enabler for this use case.…”
Section: Uas For Forest Fire Monitoringmentioning
confidence: 99%
“…Continuous coverage of an area enables the detection of irregularities such as developing fires or unauthorized intruders (e.g., via machine learning techniques). Since the long mission times render the employment of human pilots impractical, a cost-efficient solution to a Monitoring problem requires a substantial degree of autonomy and robustness [17,18] through capabilities such as automated recharging, fault tolerance, self-diagnosis, and more.…”
Section: Monitoringmentioning
confidence: 99%
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“…Cooperative monitoring and detection of forest and wildfires with autonomous teams of UAVs [5] or UGVs [6] gained significant attention in recent years [7]. While UGVs can carry larger amounts of extinguishing agents or drag a fire hose [8], payload limitations impede the utility of UAVs.…”
Section: Related Workmentioning
confidence: 99%