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

Authors :
Lasaponara, R.
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