R. Benedetti et al., VEGETATION CLASSIFICATION IN THE MIDDLE MEDITERRANEAN AREA BY SATELLITE DATA, International journal of remote sensing, 15(3), 1994, pp. 583-596
The Normalized Difference Vegetation Index time series derived from NO
AA satellite data relevant to the years 1986-1989 have been used to ev
aluate their usefulness for vegetation mapping purposes. Given the rem
ote sensing information about all the available dates in a period, it
is possible to define areas of homogeneous time NDVI profile through u
nsupervised classification procedures. In the discrimination process i
t is assumed that dynamic features of the vegetation with an evolution
period shorter than one month can be neglected. Three different appro
aches are used: an unsupervised classification on Principal Components
and on 6 and 12 months data. Maximum value composites of the NDVI pro
files (in LAC format) in each area for each month of the four-year tim
e frame have proved to be very useful to stress the various typologies
of vegetation development and condition. The output vegetation map is
characterized by regions of a similar vegetation composition and timi
ng among the different dominant land covers present in the area observ
ed and by areas with different photosynthetic potential and productivi
ty.