Long-Range Correlations in Pre- and Post-Fire Satellite Spot-VGT NDVI Data

L. Telesca and R. Lasaponara (Italy)


Fires, satellite data, vegetation, persistence


Pre- and post-fire dynamical trends in some two test sites of Italy were investigated, using the 1998 to 2005 time series of Normalized Difference Vegetation Index (NDVI) from SPOT-VEGETATION sensor. The detrended fluctuation analysis (DFA) was adopted as the suitable statistical tool for: a) identification, quantification and interpretation of long-range correlations, and b) characterization of the dynamical properties of vegetation. Our analysis reveals that vegetation dynamics is characterized by persistence, or positive long-range correlations, in both pre- and post-fire conditions, but the post-fire dynamical behavior is characterized by a larger degree of persistence. An interpretation in terms of resilience can be approached.

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