• DocumentCode
    2676331
  • Title

    An analysis about seasonal vegetation variety in Fujian Province (China) using ENVISAT MERIS vegetation index

  • Author

    Zhou Xiaocheng ; Wang Xiaoqin ; Bo, Wu ; Huiguo, Li

  • Author_Institution
    Fuzhou Univ., Fuzhou
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    3386
  • Lastpage
    3389
  • Abstract
    Vegetation indices is often used to assess vegetation dynamics and conditions. This paper presents a primary analysis of MERIS-Full Resolution (FR) data to observe seasonal variations of Normalized Difference Vegetation Index (NDVI) in Fujian province, Southeast China. The standard NDVI of MERIS is calculated by band 6 and 10. We found that the results were better when the red band 6 replaced by another red band 8. The modified NDVI (MNDVI) enhances vegetation feature while efficiently suppressing and even removing bare land information. Vegetation in summer in 2004 had a inferior condition than that in 2005 according to combined MNDVI .Temporal and spatial change of MNDVI preferably response to climate change in the study area. These meteorological variables influence MNDVI variability of different season.
  • Keywords
    climatology; vegetation; vegetation mapping; ENVISAT MERIS vegetation index; Fujian province; bare land information; climate change; modified NDVI; normalized difference vegetation index; seasonal vegetation variation; southeast China; vegetation condition; vegetation dynamics; Data mining; Ecosystems; Humans; Laboratories; MERIS; Remote monitoring; Remote sensing; Scattering; Spatial resolution; Vegetation mapping; Change detection; ENVISAT MERIS; Fujian province; NDVI; Remote Sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423571
  • Filename
    4423571