The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Airborne Optical and Thermal Remote Sensing for Wildfire Detection and Monitoring
Open accessAbstract
For decades detection and monitoring of forest and other wildland fires has relied heavily on aircraft (and satellites). Technical advances and improved affordability of both sensors and sensor platforms promise to revolutionize the way aircraft detect, monitor and help suppress wildfires. Sensor systems like hyperspectral cameras, image intensifiers and thermal cameras that have previously been limited in use due to cost or technology considerations are now becoming widely available and affordable. Similarly, new airborne sensor platforms, particularly small, unmanned aircraft or drones, are enabling new applications for airborne fire sensing. In this review we outline the state of the art in direct, semi-automated and automated fire detection from both manned and unmanned aerial platforms. We discuss the operational constraints and opportunities provided by these sensor systems including a discussion of the objective evaluation of these systems in a realistic context.
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Cites
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Cited by
Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV
Idrissi, M., Hussain, A., Barua, B., Osman, A., Abozariba, R., Aneiba, A., & Asyhari, T. (2022) · Sensors · doi:10.3390/s22155497 · Cited by 25
Metadata
- Authors
- Allison, R., Johnston, J., Craig, G., & Jennings, S.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2016-08-18
- Volume
- 16
- Issue
- 8
- Pages
- 1310
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2508764147
- Cited by
- 304
- References
- 47
- FWCI
- 35.57
- Type
- journal article
- Language
- en
- Open access
- gold
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