• DocumentCode
    271432
  • Title

    Vegetation measurement using image processing methods

  • Author

    Kirci, Murvet ; Günes, Ece Olcay ; Cakir, Yuksel ; Sentürk, Selver

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Istanbul Tech. Univ., Istanbul, Turkey
  • fYear
    2014
  • fDate
    11-14 Aug. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Measurable value of the vegetation cover is an important parameter widely used to estimate the yield, to estimate the agricultural loss (because of illness, pests, freezing, etc.), to be informed about land use, vegetation analysis, desertification and degradation etc. The current methods of measuring vegetation cover are performed into two ways; field measurements and remote sensing techniques. Traditionally, field measurements are made subjectively by visual assessment and it is very time consuming. Use of digital camera images for measuring vegetation cover is flexible and low cost method for monitoring the change of the land surface. In this work, the aim is to determine the rate of vegetation cover of wheat fields by benefiting from images captured at different phenological periods of wheat using image processing techniques.
  • Keywords
    geophysical image processing; vegetation mapping; agricultural loss; desertification; digital camera images; field measurements; image processing techniques; land use; remote sensing techniques; vegetation analysis; vegetation cover; visual assessment; wheat fields; Agriculture; Digital cameras; Digital images; Image color analysis; Indexes; Soil; Vegetation mapping; color indexes; image processing; vegetation cover measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-geoinformatics (Agro-geoinformatics 2014), Third International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/Agro-Geoinformatics.2014.6910608
  • Filename
    6910608