• DocumentCode
    2001254
  • Title

    Vegetation analysis of Hebei province using SPOT-VEGETATION NDVI

  • Author

    Wang, Lujue ; Wu, Yangjie ; Yuan, Jinguo

  • Author_Institution
    Hebei Key Lab. of Environ. Change & Ecological Constr., Hebei Normal Univ., Shijiazhuang, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper used 10-day SPOT-VEGATION NDVI time-series data from 1998 to 2008 in Hebei province, to analyze vegetation change of Hebei province during ten years. Vegetation, as one indicator of natural environment, can reflect situation of natural environment. From the analysis of NDVI, it was clear that vegetation grew best in July and August every year. In 1998-2008, the lowest value of NDVI appeared in 2000, the highest value of NDVI appeared in 2004. From the analysis of NDVI values in different times, it is found that there was some fluctuatation in the vegetation of Hebei province in these ten years, but it had the decreasing trend of fluctuatation. Vegetation growth had the trend of increasingly improved. Of course, it did not exclude the desertification of some area. From the analysis between air temperature, precipitation and NDVI during 1998-2004, the correlation between NDVI and precipitation was higher (0.70767) than that of temperature (0.53628). The spatial distribution of NDVI in 2004 was also mapped.
  • Keywords
    atmospheric precipitation; atmospheric temperature; vegetation mapping; AD 1998 to 2008; China; Hebei Province; SPOT-VEGETATION NDVI; air temperature; correlation analysis; precipitation; spatial distribution; time-series data; vegetation analysis; Correlation; Meteorology; Monitoring; Remote sensing; Temperature; Vegetation; Vegetation mapping; Hebei Province; SPOT VEGETAION NDVI; correlation analysis; vegetation growth situation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2010 18th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-7301-4
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2010.5567955
  • Filename
    5567955