• DocumentCode
    640717
  • Title

    Inconsistent NDVI trends from AVHRR, MODIS, and SPOT sensors in the Tibetan Plateau

  • Author

    Zhen Yu ; Jingxin Wang ; Shirong Liu ; Pengsen Sun ; Weiguo Liu

  • Author_Institution
    Div. of Forestry & Natural Resources, West Virginia Univ., Morgantown, WV, USA
  • fYear
    2013
  • fDate
    12-16 Aug. 2013
  • Firstpage
    97
  • Lastpage
    101
  • Abstract
    The Normalized Difference Vegetation Index (NDVI) from the National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer (NOAA - AVHRR), Moderate Resolution Imaging Spectroradiometer (MODIS), and Systèm Pour l´Observation de la Terre-VEGETATION (SPOT-VEG) have been widely used in numerous local to global scale modeling and analysis. In this study, we evaluated the accuracy of the GIMMS NDVI and examined the potential errors of the NDVI data in the Tibetan Plateau. We found that the spring AVHRR NDVI decreased from late of 1990s, while SPOT and MODIS NDVI slightly increased during the same period. The AVHRR NDVI exhibit both a negatively and significantly correlation with water vapor (or precipitable water), suggesting AVHRR NDVI was affected by the atmospheric water vapor variation.
  • Keywords
    atmospheric humidity; remote sensing; vegetation; AVHRR sensor; Advanced Very High Resolution Radiometer; MODIS sensor; Moderate Resolution Imaging Spectroradiometer; NDVI data; National Oceanic and Atmospheric Administration; Normalized Difference Vegetation Index; SPOT sensor; System Pour l´Observation de la Terre-VEGETATION; Tibetan Plateau; atmospheric water vapor variation; inconsistent NDVI trends; local-to-global scale analysis; local-to-global scale modeling; Correlation; MODIS; Market research; Remote sensing; Sensors; Springs; Vegetation mapping; AVHRR; Climate Change; MODIS; NDVI; SPOT; Tibetan Plateau;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-Geoinformatics (Agro-Geoinformatics), 2013 Second International Conference on
  • Conference_Location
    Fairfax, VA
  • Type

    conf

  • DOI
    10.1109/Argo-Geoinformatics.2013.6621887
  • Filename
    6621887