• DocumentCode
    2676345
  • Title

    Comparisons of normalized difference vegetation index from MODIS Terra and Aqua data in northwestern China

  • Author

    Wang, Jing ; Guo, Ni ; Wang, Xiaoping ; Yang, Jia

  • Author_Institution
    CMA, Lanzhou
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    3390
  • Lastpage
    3393
  • Abstract
    Normalized difference vegetation index (NDVI) from the moderate resolution imaging spectroradiometer (MODIS) data aboard Terra satellite reflect plant growth. However due to cloud masks, there is a great need to apply Aqua data as a complement for Terra data. Therefore, the relationships between Terra-derived and Aqua-derived NDVI values are required to continued long-term monitoring of land surface properties. Here,NDVI product suites, containing the Terra 16-day,Aqua 16-day over one selected MODIS tile (1200times1200 km) including a variety of vegetation cover types in northwestern China were compared over the same time periods of 2004 and 2005. Additionally, several daily cloudless data of 2005 in the region were chosen for research. The results indicate there were subtle discrepancies between NDVI values derived from the two sensors. But there were no significant discrepancies. The results suggest that Aqua data is good complement for Terra data and available for operational product to monitor vegetation.
  • Keywords
    remote sensing; vegetation; AD 2004 to 2005; Aqua data; Moderate Resolution Imaging Spectroradiometer; Terra satellite; land surface properties; normalized difference vegetation index; northwestern China; plant growth; vegetation cover types; Clouds; Laboratories; Land surface; MODIS; Meteorology; Monitoring; Sea surface; Spatial resolution; Tiles; Vegetation mapping; Aqua; MODIS; Normalized difference; Terra; vegetation index;
  • 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.2007.4423572
  • Filename
    4423572