• DocumentCode
    3336767
  • Title

    Comparison of needleleaf deciduous forest and needleleaf evergreen forest in the GLCNMO with IGBP discover and GLC2000 product

  • Author

    Tana, Gegen ; Letu, Husi ; Erdenee, Batzorig ; Tateishi, Ryutaro

  • Author_Institution
    Grad. Schools of Sci., Chiba Univ., Chiba, Japan
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    343
  • Lastpage
    346
  • Abstract
    The Global Land Cover by National Mapping Organizations (GLCNMO) is the product of the Global Mapping Project organized by International Steering Committee for Global Mapping (ISCGM). The GLCNMO is a global 1km land cover data set produced by 16-day composite MODIS data observed in 2003. The accuracy assessment of the map has been completed by a stratified random sampling method. The overall accuracy is 76.5%. The accuracy assessment result also shows that the needleleaf evergreen forest and the needleleaf deciduous forest were misclassified into each other. With this problem in mind, Needleleaf evergreen forest and Needleleaf deciduous forest in the GLCNMO were selected for reclassification. In the new classification process, the NDVI patterns were used. Finally, the needleleaf evergreen forest and the needleleaf deciduous forest in the GLCNMO were compared with the same land cover types in other two global land cover products IGBP DISCover and GLC2000 from total pixel number, per-pixel and the ground truth data points of view.
  • Keywords
    forestry; geophysical image processing; geophysical techniques; radiometry; terrain mapping; AD 2003; GLC2000 land cover product; Global Land Cover by National Mapping Organizations; IGBP DISCover land cover product; International Steering Committee for Global Mapping; MODIS data; NDVI patterns; ground truth data; needleleaf deciduous forest; needleleaf evergreen forest; stratified random sampling method; GLC2000; GLCNMO; IGBP DISCover; NDVI patterns; Needleleaf deciduous forest; Needleleaf evergreen forest;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5651660
  • Filename
    5651660