• DocumentCode
    2140451
  • Title

    The research of forest growth monitoring based on remote sensing

  • Author

    Shujian, Liu ; Daoli, Peng

  • Author_Institution
    Beijing Forestry University, The Key Laboratory for Silviculture and Conservation of Ministry of Education, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    7056
  • Lastpage
    7060
  • Abstract
    The forest growing condition is an important index of vegetation monitoring. Mastering this information timely can help us to man-age the forest resource, and predict and control the forest pest effectively. The development and application of remote sensing technique provides a new approach for the growing condition monitoring. This paper using the vegetation information which is obtained from the remote sensing, described the monitoring method and index. Furthermore, we proposed a monitoring model based on NDVI, and the design, operation principle of ANN — CA monitoring and prediction model. At the last of the paper, some existing problems of the growing condition remote monitoring were discussed.
  • Keywords
    Agriculture; Estimation; Forestry; Indexes; Monitoring; Remote sensing; Vegetation mapping; ANN-CA model; NDVI improved model; forest growing condition; remote monitor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5690894
  • Filename
    5690894