Skip to main content

Airborne-Based Fire Detection

  • Living reference work entry
  • First Online:
Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires
  • 424 Accesses

Synonyms

Airborne remote sensing of wildland fire; Airborne remote systems; Airborne sensor system; Airborne wildfire detection

Definition

Airborne-based fire detection is a surveillance system for fire detection based on aerial imaging.

Introduction

Airborne systems are used in a wide range of scenarios, flying at low and high altitudes and speeds; for fire detection and prevention scenarios and with a broad selection of sensors on board. Airborne systems are considered as a compromise between ground-based and satellite-based systems as they are flexible, maneuverable, and deployable to target priority areas (Allison et al. 2016).

Airborne sensor platforms are classified into different categories, depending on the characteristics of the carrier vehicle: they space from manned system (piloted aircrafts) to unmanned vehicles or drones, controlled remotely from the ground or operate semiautomatically. Active fire zone and surveillance areas can be scanned and monitored via an aircraft,...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  • Allison RS, Johnston JM, Craig G, Jennings S (2016) Airborne optical and thermal remote sensing for wildfire detection and monitoring. Sensors 16(8):1310. https://doi.org/10.3390/s16081310

    Article  Google Scholar 

  • Ambrosia V, Myers J, Hildum E (2011) NASA’s autonomous modular scanner (AMS) – wildfire sensor: improving wildfire observations from airborne platforms. 34th international symposium on remote sensing of environment – the GEOSS era: towards operational environmental monitoring, Sydney

    Google Scholar 

  • Amici S, Wooster MJ, Piscini A (2011) Multi-resolution spectral analysis of wildfire potassium emission signatures using laboratory, airborne and spaceborne remote sensing. Remote Sens Environ. https://doi.org/10.1016/j.rse.2011.02.022

  • Cruz H, Eckert M, Meneses J, Martinez JF (2016) Efficient forest fire detection index for application in unmanned aerial systems (UASs). Sensors 16(6):893. https://doi.org/10.3390/s16060893

    Article  Google Scholar 

  • Greenfield P, Smith W, Chamberlain D (2003) PHOENIX – the new forest service airborne infrared fire detection and mapping system. USDA Forest Service, Salt Lake City

    Google Scholar 

  • Kaufman Y, Remer L, Ottmar R, Ward D, Rong L, Kleidman R, Fraser R, Flynn L, McDougal D, Shelton G (1996) Relationship between remotely sensed fire intensity and rate of emission of smoke: SCAR-C experiment. In: Biomass burning. MIT Press, Cambridge, MA, pp 685–696

    Google Scholar 

  • O’Brien JJ, Loudermilk EL, Hornsby B, Hudak AT, Bright BC, Dickinson MB, Hiers JK, Teske C, Ottmar RD (2015) High-resolution infrared thermography for capturing wildland fire behaviour: RxCADRE 2012. Int J Wildland Fire. https://doi.org/10.1071/WF14165

  • Woebbecke D, Meyer G, Von Bargen K, Mortensen D (1995) Color indices for weed identification under various soil, residue, and lighting conditions. Trans ASAE 38:259–269

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Azarm Nowzad .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Nowzad, A. (2019). Airborne-Based Fire Detection. In: Manzello, S. (eds) Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires. Springer, Cham. https://doi.org/10.1007/978-3-319-51727-8_146-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-51727-8_146-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51727-8

  • Online ISBN: 978-3-319-51727-8

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

Publish with us

Policies and ethics