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Estimating interannual variations in vegetated areas of Sardinia Island using SPOT-VEGETATION NDVI temporal series.

Academic Article
Publication Date:
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
Iris type:
01.01 Articolo in rivista
Keywords:
PCA; SPOT-VEGETATION; NDVI; time series analysis
List of contributors:
Lasaponara, Rosa
Authors of the University:
LASAPONARA ROSA
Handle:
https://iris.cnr.it/handle/20.500.14243/28689
Published in:
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (PRINT)
Journal
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http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1715299&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F8859%2F36100%2F01715299.pdf%3Farnumber%3D1715299
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