• DocumentCode
    796471
  • Title

    Estimating Interannual Variations in Vegetated Areas of Sardinia Island Using SPOT/VEGETATION NDVI Temporal Series

  • Author

    Lasaponara, R.

  • Author_Institution
    CNR-IMAA, Potenza
  • Volume
    3
  • Issue
    4
  • fYear
    2006
  • Firstpage
    481
  • Lastpage
    483
  • Abstract
    Principal component analysis (PCA) has been applied to a temporal series 1999-2002 of a yearly maximum value composite of the SPOT/VEGETATION normalized difference vegetation index for the Sardinia Island for extracting interannual variations affecting vegetation covers. Both naturally vegetated areas (forest, shrub-land, and herbaceous cover) and agricultural lands have been investigated in order to obtain information on the most prominent natural and/or man-induced alterations affecting vegetation behavior. Although a correct interpretation of PCA results generally requires additional information, such as geographical knowledge, climatological data, and field surveys, the main finding of the current investigation suggests that PCA can be a feasible tool to separately map areas showing different degrees of interannual variability, providing valuable information for discriminating unidirectional changes
  • Keywords
    agriculture; principal component analysis; time series; vegetation; vegetation mapping; AD 1999 to 2002; SPOT/VEGETATION NDVI temporal series; Sardinia Island; agricultural lands; forest; herbaceous cover; interannual variation; man-induced alterations; normalized difference vegetation index; principal component analysis; shrubland; unidirectional changes; vegetated areas; vegetation covers; Data mining; Floods; Hazards; Pollution measurement; Principal component analysis; Rain; Satellites; Stress; Time series analysis; Vegetation mapping; Principal component analysis (PCA); SPOT-VEGETATION normalized difference vegetation index (SPOT-VGT NDVI); time series analysis;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2006.877753
  • Filename
    1715299