@prefix pubblicazioni: . @prefix unitaDiPersonaleInterno: . @prefix prodotto: . unitaDiPersonaleInterno:MATRICOLA8699 pubblicazioni:autoreCNRDi prodotto:ID34711 . @prefix prodottidellaricerca: . @prefix istituto: . istituto:CDS055 prodottidellaricerca:prodotto prodotto:ID34711 . unitaDiPersonaleInterno:MATRICOLA9000 pubblicazioni:autoreCNRDi prodotto:ID34711 . @prefix unitaDiPersonaleEsterno: . unitaDiPersonaleEsterno:ID12422 pubblicazioni:autoreCNRDi prodotto:ID34711 . @prefix modulo: . modulo:ID4264 prodottidellaricerca:prodotto prodotto:ID34711 . @prefix rdf: . prodotto:ID34711 rdf:type prodotto:TIPO1101 . @prefix retescientifica: . prodotto:ID34711 rdf:type retescientifica:ProdottoDellaRicerca . @prefix rdfs: . prodotto:ID34711 rdfs:label "Investigating dynamical trends in burned and unburned vegetation covers using SPOT-VGT NDVI data (Articolo in rivista)"@en . @prefix xsd: . prodotto:ID34711 pubblicazioni:anno "2007-01-01T00:00:00+01:00"^^xsd:gYear . @prefix skos: . prodotto:ID34711 skos:altLabel "
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)
"^^rdf:HTML ; pubblicazioni:autori "Telesca L, Lanorte A, Lasaponara R."^^xsd:string ; pubblicazioni:paginaInizio "128"^^xsd:string ; pubblicazioni:paginaFine "138"^^xsd:string ; pubblicazioni:numeroVolume "4"^^xsd:string . @prefix ns12: . prodotto:ID34711 pubblicazioni:rivista ns12:ID90032 ; skos:note "ISI Web of Science (WOS)"^^xsd:string ; pubblicazioni:titolo "Investigating dynamical trends in burned and unburned vegetation covers using SPOT-VGT NDVI data"^^xsd:string ; prodottidellaricerca: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." ; prodottidellaricerca:prodottoDi modulo:ID4264 , istituto:CDS055 ; pubblicazioni:autoreCNR unitaDiPersonaleEsterno:ID12422 , unitaDiPersonaleInterno:MATRICOLA8699 , unitaDiPersonaleInterno:MATRICOLA9000 . @prefix parolechiave: . prodotto:ID34711 parolechiave:insiemeDiParoleChiave . ns12:ID90032 pubblicazioni:rivistaDi prodotto:ID34711 . parolechiave:insiemeDiParoleChiaveDi prodotto:ID34711 .