• DocumentCode
    2720956
  • Title

    Extraction of Summer Maize Using MODIS EVI Time Series in Huang-Huai-Hai

  • Author

    Liu, Jun ; Tian, Qingjiu ; Huang, Yan ; Du, Lingtong

  • Author_Institution
    Int. Inst. for Earth Syst. Sci., Nanjing Univ., Nanjing, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1451
  • Lastpage
    1454
  • Abstract
    This paper explores the feasibility of extracting summer maize using the MODIS EVI time series imagery in Huang-Huai-Hai. We first obtained the spatial distribution of double-season crops based on three-temporal EVI imagery, and then the phenology calendar curves was generated based on the EVI seasonal variation in selected training areas of Huang-Huai-Hai. This curve can be served as a key parameter to separate the summer maize from the double-season crops. Finally, both the spatial distribution and the total area of the summer maize are obtained. The good results suggest that this methodology using MODIS-based EVI can serve as a useful tool to extract the spatial and temporal distribution of summer maize crop at the landscape or regional level.
  • Keywords
    agriculture; crops; geophysical image processing; image sensors; phenology; time series; vegetation mapping; EVI seasonal variation; HHH region; Huang-Huai-Hai region; MODIS EVI time series imagery; MODIS-based EVI; double-season crop spatial distribution; landscape level; moderate resolution imaging spectroradiometer sensors; phenology calendar curves; regional level; summer maize crop extraction; temporal distribution; three-temporal EVI imagery; Accuracy; Cotton; MODIS; Remote sensing; Springs; Time series analysis; EVI; Huang-Huai-Hai; MODIS; extraction; summer maize;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.365
  • Filename
    6394603