• DocumentCode
    144041
  • Title

    Research of methane emissions of the wetlands with backscattering properties

  • Author

    Longfei Tan ; Yan Chen ; Ling Tong ; Mingquan Jia

  • Author_Institution
    Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    4139
  • Lastpage
    4141
  • Abstract
    Methane is an important greenhouse gas (GHG) in the atmosphere. Conventional methods with Optical and infrared technology still have some questioned in large-area and time. With its advantage of acquiring geo-information in timely, speedy, all-day and all-weather over large areas, microwave remote sensing is one powerful approach in monitoring methane emissions to conventional methods. Ground-based scatterometer was employed to multi-wave and multi-polarization measurement to obtain the microwave scattering coefficients. The methane emission was analyzed by the microwave scattering coefficients and the parameters of the vegetation in observation area. Besides, RADARSAT-2 images are ordered to offer data support to the observation of methane emission from large-sized wetlands. Additionally, the comparison of this experiment results and former experiment results of methane emission from paddy land was done. The distinction of the two significant methane emission sources is analyzed in the paper.
  • Keywords
    air pollution; lakes; remote sensing by radar; RADARSAT-2 images; backscattering properties; greenhouse gas; ground-based scatterometer; infrared technology; methane emission sources; microwave remote sensing; microwave scattering coefficients; multipolarization measurement; optical technology; paddy land; wetland methane emission research; Antenna measurements; Backscatter; Electromagnetic heating; Microwave imaging; Scattering; Vegetation; Vegetation mapping; Backscattering Properties; Methane Emission; Microwave Remote Sensing; Polarization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947398
  • Filename
    6947398