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Assessing Forest Fire Dynamicsin UAV-Based Tactical Monitoring System

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Lecture Notes in Computational Intelligence and Decision Making (ISDMCI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1246))

Abstract

This work presents a new method to assess the forest-fire parameters and fire front based on uncertain observations in a forest fire-fighting monitoring system, which jointly uses unmanned aerial vehicles and remote sensing. The proposed method is based on analyzing the consecutive image frames captured by optical and infrared cameras. The algorithm of the analysis of images obtained from different points of view simultaneously but separately by both types of cameras is described. Analysis of the optical images is divided into flame and smoke channels. It allows reducing the noise and eliminating cameras’ displacement effects in remote sensing images occurring due to vehicles’ vibrations. As the result of the analysis of images captured from different observation points, a semi-volumetric representation of the fire front can be evaluated, and various fire areas can be classified by intensity based on approximate flame height estimations. This result allows decision-makers to obtain the necessary information for decision-makers to correctly assess the dynamics of a forest fire. The proposed method has enough performance for assessing forest fires in real-time within the fire response decision support system.

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Author information

Authors and Affiliations

  1. Kherson National Technical University, Kherson, Ukraine

    Volodymyr Sherstjuk & Maryna Zharikova

  2. European University, Kryvyi Rih Branch, Kryvyi Rih, Ukraine

    Irina Dorovskaja

  3. Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine

    Vasyl Sheketa

Authors
  1. Volodymyr Sherstjuk
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  2. Maryna Zharikova
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  3. Irina Dorovskaja
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  4. Vasyl Sheketa
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Corresponding author

Correspondence to Volodymyr Sherstjuk .

Editor information

Editors and Affiliations

  1. Department of Informatics, Jan Evangelista Purkyně University in Ústí nad Labem, Ústí nad Labem, Czech Republic

    Sergii Babichev

  2. Department of Informatics and Computer Science, Kherson National Technical University, Kherson, Ukraine

    Volodymyr Lytvynenko

  3. Institute of Electronics and Information, Lublin University of Technology, Lublin, Poland

    Waldemar Wójcik

  4. Department of Informatics and Computer Science, Kherson National Technical University, Kherson, Ukraine

    Svetlana Vyshemyrskaya

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Sherstjuk, V., Zharikova, M., Dorovskaja, I., Sheketa, V. (2021). Assessing Forest Fire Dynamicsin UAV-Based Tactical Monitoring System. In: Babichev, S., Lytvynenko, V., Wójcik, W., Vyshemyrskaya, S. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2020. Advances in Intelligent Systems and Computing, vol 1246. Springer, Cham. https://doi.org/10.1007/978-3-030-54215-3_18

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