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Estimating Interannual Variations in Vegetated Areas of Sardinia Island Using SPOT/VEGETATION NDVI Temporal Series.
- Source :
- IEEE Geoscience & Remote Sensing Letters; Oct2006, Vol. 3 Issue 4, p481-483, 3p
- Publication Year :
- 2006
-
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 [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 1545598X
- Volume :
- 3
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- IEEE Geoscience & Remote Sensing Letters
- Publication Type :
- Academic Journal
- Accession number :
- 52158212
- Full Text :
- https://doi.org/10.1109/LGRS.2006.877753