Investigating dynamical trends in burned and unburned vegetation covers using SPOT-VGT NDVI data (Articolo in rivista)

Type
Label
  • Investigating dynamical trends in burned and unburned vegetation covers using SPOT-VGT NDVI data (Articolo in rivista) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • Telesca L, Lanorte A, Lasaponara R. (2007)
    Investigating dynamical trends in burned and unburned vegetation covers using SPOT-VGT NDVI data
    in Journal of geophysics and engineering (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Telesca L, Lanorte A, Lasaponara R. (literal)
Pagina inizio
  • 128 (literal)
Pagina fine
  • 138 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 4 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Titolo
  • Investigating dynamical trends in burned and unburned vegetation covers using SPOT-VGT NDVI data (literal)
Abstract
  • Fires induce dynamical trends in vegetation covers. In order to investigate the effects of fires in dynamical patterns of vegetation cover, normalized difference vegetation index data from the SPOT-VEGETATION sensor over the times series 1998 - 2003 were analysed for burned and unburned test sites located in the Italian Peninsula. The statistical analysis was carried out by means of three different methods: (i) power spectral density (PSD), which reveals scaling as well as periodic trends; (ii) the multiple segmenting method (MSM), which is well suited to analysing scaling behaviour for short time series; and (iii) detrended fluctuation analysis (DFA), a method that allows persistence in non-stationary signal fluctuations to be captured. Results from the statistical analyses showed that the scaling exponents a of the pixel time series for fire-affected sites range around mean values of similar to 1.38 ( PSD), similar to 1.19 ( MSM) and similar to 1.22 ( DFA), while those for fire-unaffected sites vary around mean values of similar to 0.86 ( PSD), similar to 0.63 ( MSM) and similar to 0.65 ( DFA). The two classes of vegetation ( fire affected and fire unaffected) are significantly discriminated from each other ( with the t-Student test, p < 0.0001) for all three methods adopted. The scaling exponents of both fire-affected and fire-unaffected sites show the persistent character of the vegetation dynamics though the fire-affected sites show larger exponents. Such a result shows that fires contribute by increasing the persistence of the time dynamics of vegetation and, therefore, drive unstable behavioural trends in vegetation dynamics of burned areas. (literal)
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