Low-Altitude Aerial Methane Concentration Mapping

被引:55
|
作者
Emran, Bara J. [1 ]
Tannant, Dwayne D. [1 ]
Najjaran, Homayoun [1 ]
机构
[1] Univ British Columbia, Sch Engn, Kelowna, BC V1V 1V7, Canada
关键词
unmanned aerial vehicle; fugitive greenhouse gases; methane emission; landfill monitoring; remote sensing; LEAK DETECTION; GAS; ABSORPTION; PIPELINES; DIODE;
D O I
10.3390/rs9080823
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Detection of leaks of fugitive greenhouse gases (GHGs) from landfills and natural gas infrastructure is critical for not only their safe operation but also for protecting the environment. Current inspection practices involve moving a methane detector within the target area by a person or vehicle. This procedure is dangerous, time consuming, labor intensive and above all unavailable when access to the desired area is limited. Remote sensing by an unmanned aerial vehicle (UAV) equipped with a methane detector is a cost-effective and fast method for methane detection and monitoring, especially for vast and remote areas. This paper describes the integration of an off-the-shelf laser-based methane detector into a multi-rotor UAV and demonstrates its efficacy in generating an aerial methane concentration map of a landfill. The UAV flies a preset flight path measuring methane concentrations in a vertical air column between the UAV and the ground surface. Measurements were taken at 10 Hz giving a typical distance between measurements of 0.2 m when flying at 2 m/s. The UAV was set to fly at 25 to 30 m above the ground. We conclude that besides its utility in landfill monitoring, the proposed method is ready for other environmental applications as well as the inspection of natural gas infrastructure that can release methane with much higher concentrations.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Low-Altitude Photogrammetry and Remote Sensing in UAV for Improving Mapping Accuracy
    Ma, Shuying
    Zhang, Kai
    MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [32] Low-altitude contour mapping of radiation fields using UAS swarm
    Cook, Zachary
    Kazemeini, Monia
    Barzilov, Alexander
    Yim, Woosoon
    INTELLIGENT SERVICE ROBOTICS, 2019, 12 (03) : 219 - 230
  • [33] A NEW LOW-ALTITUDE SURVEY TECHNOLOGY Mapping a Landslide Using UAS
    Bellavita, Danilo
    Ceccaroni, Francesca
    Mazzitelli, Annalisa
    GIM INTERNATIONAL-THE WORLDWIDE MAGAZINE FOR GEOMATICS, 2013, 27 (02): : 27 - +
  • [34] Low-altitude wind shear
    Huang, ZW
    Li, XL
    Deng, Y
    AEROSPACE ENGINEERING, 2001, 21 (01) : 20 - 22
  • [35] Low-Altitude Aircraft Routing
    M. Yu. Petrov
    Journal of Computer and Systems Sciences International, 2019, 58 : 467 - 473
  • [36] Low-Altitude Aircraft Routing
    Petrov, M. Yu.
    JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL, 2019, 58 (03) : 467 - 473
  • [37] Deep learning based high performance classification architecture for low-altitude aerial images
    Mittal, Payal
    Sharma, Akashdeep
    Singh, Raman
    MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (06) : 16849 - 16868
  • [38] Feature-Based Efficient Moving Object Detection for Low-Altitude Aerial Platforms
    Logoglu, K. Berker
    Lezki, Hazal
    Yucel, M. Kerim
    Ozturk, Ahu
    Kucukkomurler, Alper
    Karagoz, Batuhan
    Erdem, Aykut
    Erdem, Erkut
    2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017), 2017, : 2119 - 2128
  • [39] A blimp system to obtain high-resolution, low-altitude aerial photography and videography
    Murden, SB
    Risenhoover, KL
    WILDLIFE SOCIETY BULLETIN, 2000, 28 (04) : 958 - 962
  • [40] RETURN TO LOW-ALTITUDE SICKNESS
    GROVER, RF
    GRANDE, A
    JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1989, 262 (20): : 2926 - 2926