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equivalent) or indirectly by sampling with suffi cient intensity spatial variables in the
fi eld that have a known functional relationship with the variable of interest (assum-
ing the variable of interest is too diffi cult or expensive to sample in the fi eld) (Lobo
et al., 1998). The simulated NDVI images show that kriging and SGS and the cLHS
approach provide effective tools for monitoring, sampling, and mapping landscape
changes induced by large disturbances.
Figure 8.
Kriging estimated NDVI images based on 3,000 samples in area A on (a) 1996/11/08, (b)
1999/03/06, (c) 1999/10/31, (d) 2000/11/27, (e) 2001/11/20, (f) 2003/12/17, and (g) 2004/11/19.
