A Survey on Monitoring of Wild Animals during Fires Using Drones

被引:17
作者
Ivanova, Svetlana [1 ,2 ]
Prosekov, Alexander [3 ]
Kaledin, Anatoly [4 ]
机构
[1] Kemerovo State Univ, Nat Nutraceut Biotesting Lab, Krasnaya St 6, Kemerovo 650043, Russia
[2] Kemerovo State Univ, Dept Gen Math & Informat, Krasnaya St 6, Kemerovo 650043, Russia
[3] Kemerovo State Univ, Lab Biocatalysis, Krasnaya St 6, Kemerovo 650043, Russia
[4] Russian State Agrarian Univ, Timiryazev Moscow Agr Acad, Dept Zool, Timiryazevskaya St 49, Moscow 127434, Russia
来源
FIRE-SWITZERLAND | 2022年 / 5卷 / 03期
关键词
forest fires; unmanned aerial vehicles; monitoring; wild animals; UNMANNED AERIAL VEHICLES; FOREST-FIRES; SEVERITY; MOVEMENT; IMAGERY; TECHNOLOGIES; FEASIBILITY; RESPONSES; AIRCRAFT; CLIMATE;
D O I
10.3390/fire5030060
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Forest fires occur for natural and anthropogenic reasons and affect the distribution, structure, and functioning of terrestrial ecosystems worldwide. Monitoring fires and their impacts on ecosystems is an essential prerequisite for effectively managing this widespread environmental problem. With the development of information technologies, unmanned aerial vehicles (drones) are becoming increasingly important in remote monitoring the environment. One of the main applications of drone technology related to nature monitoring is the observation of wild animals. Unmanned aerial vehicles are thought to be the best solution for detecting forest fires. There are methods for detecting wildfires using drones with fire- and/or smoke-detection equipment. This review aims to study the possibility of using drones for monitoring large animals during fires. It was established that in order to use unmanned aerial vehicles to monitor even small groups of wild animals during forest fires, effective unmanned remote sensing technologies in critical temperature conditions are required, which can be provided not only by the sensors used, but also by adapted software for image recognition.
引用
收藏
页数:16
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共 84 条
  • [1] Connections of climate change and variability to large and extreme forest fires in southeast Australia
    Abram, Nerilie J.
    Henley, Benjamin J.
    Sen Gupta, Alex
    Lippmann, Tanya J. R.
    Clarke, Hamish
    Dowdy, Andrew J.
    Sharples, Jason J.
    Nolan, Rachael H.
    Zhang, Tianran
    Wooster, Martin J.
    Wurtzel, Jennifer B.
    Meissner, Katrin J.
    Pitman, Andrew J.
    Ukkola, Anna M.
    Murphy, Brett P.
    Tapper, Nigel J.
    Boer, Matthias M.
    [J]. COMMUNICATIONS EARTH & ENVIRONMENT, 2021, 2 (01):
  • [2] Albani D, 2017, IEEE INT C INT ROBOT, P4319, DOI 10.1109/IROS.2017.8206296
  • [3] Airborne Optical and Thermal Remote Sensing for Wildfire Detection and Monitoring
    Allison, Robert S.
    Johnston, Joshua M.
    Craig, Gregory
    Jennings, Sion
    [J]. SENSORS, 2016, 16 (08)
  • [4] Anderson K.L., 2020, THESIS U ALASKA ANCH
  • [5] [Anonymous], 2020, STATE WORLDS FORESTS
  • [6] [Anonymous], ENV PROTECTION RUSSI
  • [7] [Anonymous], Wildfire Statistics
  • [8] [Anonymous], CLIMATE CHANGE 2022
  • [9] Forest fires and climate change: causes, consequences and management options
    Aponte, Cristina
    de Groot, William J.
    Wotton, B. Mike
    [J]. INTERNATIONAL JOURNAL OF WILDLAND FIRE, 2016, 25 (08) : I - II
  • [10] A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing
    Barmpoutis, Panagiotis
    Papaioannou, Periklis
    Dimitropoulos, Kosmas
    Grammalidis, Nikos
    [J]. SENSORS, 2020, 20 (22) : 1 - 26