Estimating interannual variations in vegetated areas of Sardinia island using SPOT/VEGETATION NDVI temporal series

被引:13
作者
Lasaponara, R. [1 ]
机构
[1] CNR, IMAA, I-85055 Potenza, Italy
关键词
principal component analysis (PCA); SPOT-VEGETATION normalized difference vegetation index (SPOT-VGT NDVI); time series analysis;
D O I
10.1109/LGRS.2006.877753
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
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.
引用
收藏
页码:481 / 483
页数:3
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