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Early Wildfire Detection Technologies in Practice—A Review

Author

Listed:
  • Ankita Mohapatra

    (Computer Engineering Program, California State University, Fullerton, CA 92831, USA)

  • Timothy Trinh

    (Computer Engineering Program, California State University, Fullerton, CA 92831, USA)

Abstract

As fires grow in intensity and frequency each year, so has the resistance from their anthropic victims in the form of firefighting technology and research. Although it is impossible to completely prevent wildfires, the potential devastation can be minimized if fires are detected and precisely geolocated while still in their nascent phases. Furthermore, automated approaches without human involvement are comparatively more efficient, accurate and capable of monitoring extremely remote and vast areas. With this specific intention, many research groups have proposed numerous approaches in the last several years, which can be grouped broadly into these four distinct categories: sensor nodes, unmanned aerial vehicles, camera networks and satellite surveillance. This review paper discusses notable advancements and trends in these categories, with subsequent shortcomings and challenges. We also describe a technical overview of common prototypes and several analysis models used to diagnose a fire from the raw input data. By writing this paper, we hoped to create a synopsis of the current state of technology in this emergent research area and provide a reference for further developments to other interested researchers.

Suggested Citation

  • Ankita Mohapatra & Timothy Trinh, 2022. "Early Wildfire Detection Technologies in Practice—A Review," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12270-:d:926737
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    References listed on IDEAS

    as
    1. Sunghun Jung & Yonghyeon Jo & Young-Joon Kim, 2019. "Aerial Surveillance with Low-Altitude Long-Endurance Tethered Multirotor UAVs Using Photovoltaic Power Management System," Energies, MDPI, vol. 12(7), pages 1-14, April.
    2. Shahir Masri & Erica Scaduto & Yufang Jin & Jun Wu, 2021. "Disproportionate Impacts of Wildfires among Elderly and Low-Income Communities in California from 2000–2020," IJERPH, MDPI, vol. 18(8), pages 1-20, April.
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    Cited by:

    1. Pietro Battistoni & Andrea Antonio Cantone & Gerardo Martino & Valerio Passamano & Marco Romano & Monica Sebillo & Giuliana Vitiello, 2023. "A Cyber-Physical System for Wildfire Detection and Firefighting," Future Internet, MDPI, vol. 15(7), pages 1-28, July.

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