• DocumentCode
    2676192
  • Title

    Comparison of Vegetation Index from ASTER, CBERS and Landsat ETM+

  • Author

    Du, Peijun ; Zhang, Huapeng ; Yuan, Linshan ; Liu, Pei ; Zhang, Hairong

  • Author_Institution
    China Univ. of Min. & Technol., Xuzhou
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    3341
  • Lastpage
    3344
  • Abstract
    Normalized difference vegetation index (NDVI), as the most important index derived from the red and near infrared spectrum scope of multi-spectral remotely sensed data, plays important roles to remote sensing applications in different fields. Three data sources operated by different vendors are chosen to compare the NDVIs derived from them and discover mutual relationships. The three sensors are ASTER, CBERS and Landsat ETM+. Before NDVIs are computed, image registration, geometric correction and atmospheric correction are conducted. The comparison is conducted from three levels: global level at the whole image scene, local level at some specific areas, and special object level by using related statistical indexes, and some useful suggestions are given based on the comparison.
  • Keywords
    image registration; remote sensing; vegetation; ASTER; CBERS; Landsat ETM+; NDVI; Normalized Difference Vegetation Index; atmospheric correction; geometric correction; image registration; multispectral remotely sensed data; near infrared spectra; red spectra; statistical indexes; Cities and towns; Image registration; Information analysis; Infrared spectra; MODIS; Radiometry; Reflectivity; Remote sensing; Satellites; Vegetation mapping; ASTER; CBERS; Landsat TM; Normalized Difference Vegetation Index (NDVI);
  • 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.2007.4423560
  • Filename
    4423560