• DocumentCode
    2440055
  • Title

    Research on remote sensing investigation and model inversion of vegetation and wetland

  • Author

    Zhang, Xu ; Feng, Zhongke

  • Author_Institution
    Suzhou Univ. of Sci. & Technol., Suzhou, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    660
  • Lastpage
    663
  • Abstract
    The paper firstly briefly introduces the remote sensing investigation in vegetation and wetlands, preprocessing procedure of remote sensing image in the natural resources monitoring, and the commonly-used extraction methods of wetland vegetation information. In addition, the paper discusses the research status of the remote sensing inversion model, and elaborates on the three commonly-used models: statistical model, physical model and semi-statistical model. Finally, the deficiency of remote sensing investigation of vegetation and wetlands has been proposed.
  • Keywords
    geophysical image processing; geophysical techniques; lakes; remote sensing; statistical analysis; vegetation; extraction method; image processing; natural resources monitoring; physical model; remote sensing inversion model; semistatistical model; statistical model; vegetation; wetland; Biological system modeling; Biomass; Data mining; Mathematical model; Monitoring; Remote sensing; Vegetation mapping; Vegetation; remote sensing investigation; remote sensing model inversion; wetlands;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5964363
  • Filename
    5964363