The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques
Abstract
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.
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Cites
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Çelik, T., & Demirel, H. (2009) · Fire Safety Journal · doi:10.1016/j.firesaf.2008.05.005 · Cited by 553
Cooperative forest fire surveillance using a team of small unmanned air vehicles
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Decentralized Cooperative Aerial Surveillance Using Fixed-Wing Miniature UAVs
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An Unmanned Aircraft System for Automatic Forest Fire Monitoring and Measurement
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Cited by
Applications of artificial intelligence for disaster management
Sun, W., Bocchini, P., & Davison, B. D. (2020) · Natural Hazards · doi:10.1007/s11069-020-04124-3 · Cited by 491
Airborne Optical and Thermal Remote Sensing for Wildfire Detection and Monitoring
Allison, R., Johnston, J., Craig, G., & Jennings, S. (2016) · Sensors · doi:10.3390/s16081310 · Cited by 304
A Review of the Applications of Remote Sensing in Fire Ecology
Szpakowski, D., & Jensen, J. (2019) · Remote Sensing · doi:10.3390/rs11222638 · Cited by 292
UAV-Based Forest Health Monitoring: A Systematic Review
Ecke, S., Dempewolf, J., Frey, J., Schwaller, A., Endres, E., Klemmt, H.-J., Tiede, D., & Seifert, T. (2022) · Remote Sensing · doi:10.3390/rs14133205 · Cited by 284
Applications of UAVs in Civil Infrastructure
Greenwood, W. W., Lynch, J. P., & Zekkos, D. (2019) · Journal of Infrastructure Systems · doi:10.1061/(asce)is.1943-555x.0000464 · Cited by 266
Metadata
- Authors
- Yuan, C., Zhang, Y., & Liu, Z.
- Venue
- Canadian Journal of Forest Research
- Publisher
- Canadian Science Publishing
- Published
- 2015-07
- Volume
- 45
- Issue
- 7
- Pages
- 783-792
- ISSN
- 0045-5067 (ISSN-L)
- 1208-6037
- OpenAlex
- W1852719163
- Cited by
- 639
- References
- 48
- FWCI
- 85.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yuan, C., Zhang, Y., & Liu, Z. (2015). A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques. Canadian Journal of Forest Research. https://doi.org/10.1139/cjfr-2014-0347
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