Monitoring of Forest (Fire) Using Micro Class Unmanned Aerial Vehicles

被引:0
|
作者
Urbahs, A. [1 ]
Petuhova, J. [1 ]
Urbaha, M. [1 ]
Carjova, K. [1 ]
Andrejeva, D. [1 ]
机构
[1] Riga Tech Univ, Inst Aeronaut, LV-1658 Riga, Latvia
来源
关键词
Forest fires; Forest fires fighting; forest fires monitoring; Unmanned Aerial Vehicles;
D O I
暂无
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
This paper describes the capability and potential of using the micro class Unmanned Aerial Vehicle (UAV) for forest monitoring. The paper has been developed with the means of UAV AERTI, manufactured in Riga Technical University and equipped with the electromotor, thus considerably minimizing the ecological impact, comparing with combustion propulsion equipped. There are many resembling ways of acquiring the data about fire forest conditions, however, in areas with the dynamic process there is a necessity to have real-time picture. Accurate fire information can be of vital importance, especially when such situation has being aggravated.
引用
收藏
页码:61 / 65
页数:5
相关论文
共 50 条
  • [31] Simultaneous Search and Monitoring by Unmanned Aerial Vehicles
    Zhang, Haoyu
    Veres, Sandor
    Kolling, Andreas
    2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017,
  • [32] Outdoor Environment Monitoring with Unmanned Aerial Vehicles
    Piciarelli, Claudio
    Micheloni, Christian
    Martinel, Niki
    Vernier, Marco
    Foresti, Gian Luca
    IMAGE ANALYSIS AND PROCESSING (ICIAP 2013), PT II, 2013, 8157 : 279 - 287
  • [33] Unmanned Aerial Vehicles for Crowd Monitoring and Analysis
    Husman, Muhammad Afif
    Albattah, Waleed
    Abidin, Zulkifli Zainal
    Mustafah, Yasir Mohd.
    Kadir, Kushsairy
    Habib, Shabana
    Islam, Muhammad
    Khan, Sheroz
    ELECTRONICS, 2021, 10 (23)
  • [34] A Safety Monitoring System for Unmanned Aerial Vehicles
    Wang, Xiao
    Zhang, Jianfu
    Feng, Pingfa
    Yu, Dingwen
    Wu, Zhijun
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE2018), 2018,
  • [35] Learning-Based Smoke Detection for Unmanned Aerial Vehicles Applied to Forest Fire Surveillance
    Yuan, Chi
    Liu, Zhixiang
    Zhang, Youmin
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2019, 93 (1-2) : 337 - 349
  • [36] Unmanned aerial vehicle for fire surveillance and monitoring
    Madridano, A.
    Campos, S.
    Al-Kaff, A.
    Garcia, A.
    Martin, D.
    Escalera, A.
    REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL, 2020, 17 (03): : 254 - 263
  • [37] Learning-Based Smoke Detection for Unmanned Aerial Vehicles Applied to Forest Fire Surveillance
    Chi Yuan
    Zhixiang Liu
    Youmin Zhang
    Journal of Intelligent & Robotic Systems, 2019, 93 : 337 - 349
  • [38] Unmanned aerial vehicle for fire surveillance and monitoring
    Madridano A.
    Campos S.
    Al-Ka A.
    Garcia F.
    Martin D.
    Escalera A.
    RIAI - Revista Iberoamericana de Automatica e Informatica Industrial, 2020, 17 (03): : 254 - 263
  • [39] Flight planning and data processing of unmanned aerial vehicles (UAVs) in forest plantation monitoring
    Hernandez-Cole, Javier
    Villalobos-Barquero, Veronica
    Guevara-Bonilla, Mario
    Ortiz-Malavasi, Edgar
    REVISTA FORESTAL MESOAMERICA KURU-RFMK, 2024, 21 (48): : 56 - 65
  • [40] Use of Unmanned Aerial Vehicles for Monitoring Recovery of Forest Vegetation on Petroleum Well Sites
    Hird, Jennifer N.
    Montaghi, Alessandro
    McDermid, Gregory J.
    Kariyeva, Jahan
    Moorman, Brian J.
    Nielsen, Scott E.
    McIntosh, Anne C. S.
    REMOTE SENSING, 2017, 9 (05)