Decadal variability in multitemporal satellite SPOT-VEGETATION NDII data

In this letter the inner dynamics of 1998-2003 decadal (10-day) series of satellite SPOT-VEGETATION Normalized Difference of Infrared Index (NDII) data of forest ecosystems in southern Italy was explored. The Multiple Segmenting Method (MSM) and Detrended Fluctuation Analysis (DFA), which are able to detect deep dynamical features in short and nonstationary series, were applied. The obtained results suggest that the forest moisture content is characterized by persistent mechanisms leading to a behaviour more unstable to external perturbations.