dot
Detailansicht
Katalogkarte GBA
Katalogkarte ISBD
Suche präzisieren
Drucken
Download RIS
Hier klicken, um den Treffer aus der Auswahl zu entfernen
Titel MODIS time series for the analysis and characterization of vegetation dynamics before and after fire occurrence
VerfasserIn Tiziana Montesano, Antonio Lanorte, Fortunato De Santis, Rosa Lasaponara
Konferenz EGU General Assembly 2011
Medientyp Artikel
Sprache Englisch
Digitales Dokument PDF
Erschienen In: GRA - Volume 13 (2011)
Datensatznummer 250048679
 
Zusammenfassung
This paper aims to perform a dynamical characterization of vegetation dynamics before and after fire occurrence using time series of remotely sensed data obtained from MODIS satellite using detrended fluctuation analysis (DFA). The DFA has already been applied to time series of NDVI derived from SPOT-VEGETATION (Telesca et al.) but, up to now, has not been applied to MODIS time series, which should provide significant improvements due the higher spectral (36 spectral bands ranging from 0.4 micrometers to 14.4 micrometers) and spatial resolutions (acquisition from 250 m to 1 km). We focused on two sites Crotone in Calabria and Andriace, near Scanzano Jonico, in Basilicata, characterized by a mixture of natural vegetation and agricultural cover. Both NDVI(Normalized Difference Vegetation Index) and NBR(Normalized Burn Ratio) have been processed. The NDVI index is expressed by the following relation NDVI = [b2-b1]/ [b2+b1]. The NBR index is defined as: NBR=[b2-b7]/[b2+b7]. In order to eliminate the phenological fluctuations, we focused on the departure series from 2000 to 2009 of NDVId and NBRd which are defined as NDVId = [NDVI - ]/std (NDVI) where is the mean over 8-days and std(NDVI) is the standard deviation NBRd = [NBR - ]/std (NBR) where is the mean over 8-days and std(NBR) is the standard deviation The 8-days mean and the standard deviation were calculated for each 8-days, by averaging over all years in the record. All the values of scaling for both sites are larger than 1 / 2 which means that the fluctuations of time series are persistent that the values of the indices are positively correlated. The estimated scaling exponents of both sites suggest a persistent character of the vegetational dynamics. But, for both sites pre-fire exponents were higher than those calculated for the post-fire. This unexpected behavior suggested that, after the fire occurrence the agricultural activities were very likely more intense for both the investigated areas. Reference L. Telesca, R. Lasaponara, A. Lanorte, “1/f fluctuations in the time dynamics of Mediterranean forest ecosystems by using normalized difference vegetation index satellite data” Physica A, Vol. 361, Issue 2, p. 699-706, 2006; L. Telesca, R. Lasaponara, “ Fire-induced variability in satellite SPOT-VGT NDVI vegetational data, International journal of Remote Sensing, 27, 3087-3095, 2006.