• DocumentCode
    2877462
  • Title

    Compare Analysis of Vegetation Cover Change in Jianyang City Based on RVI and NDVI

  • Author

    Gao, GuoLin ; Wang, ShiYing

  • Author_Institution
    Fac. of Geogr. & Resource Sci., Sichuan Normal Univ., Chengdu, China
  • fYear
    2012
  • fDate
    1-3 June 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Extracting and analyzing the vegetation cover change, only depending on the manual measurement methods, which is cost larger, and it is not timely and accuracy is not high. This study using remote sensing technology, combined with GIS respectively used ratio vegetation index and normalized difference vegetation index to extract and analyze the vegetation coverage change in Jianyang city, the results indicated that the two vegetation indices had a high correlation with vegetation coverage, that can also use the ratio vegetation index to extract and analyze the vegetation change, and its overall accuracy had a bit low compared with the normalized difference vegetation index, but by their characteristics impact, vigorous growth of vegetation in summer, using the ratio vegetation index to extract the vegetation cover which the accuracy had a little high compared with using the normalized difference vegetation index to extract; Finally extracting the average annual total vegetation coverage in Jianyang city from 1996 to 2009 years, which the distribution presented open up parabola shape, it was mainly by unreasonable land use and other factors impacted, and thus put forward related suggestions.
  • Keywords
    remote sensing; vegetation; vegetation mapping; AD 1996 to 2009; Jianyang city; average annual total vegetation coverage; manual measurement methods; normalized difference vegetation index; parabola shape; ratio vegetation index; remote sensing technology; unreasonable land use; vegetation cover change analysis; Accuracy; Cities and towns; Earth; Indexes; Remote sensing; Vegetation; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0872-4
  • Type

    conf

  • DOI
    10.1109/RSETE.2012.6260516
  • Filename
    6260516