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Proceedings Paper

SPOT-VGT time series based estimation of fire-induced variability in vegetation covers
Author(s): Rosa Lasaponara; Antonio Lanorte; Luciano Telesca
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Paper Abstract

The dynamics of vegetation covers in burned and unburned areas can be monitored by using satellite data, which provide a wide spatial coverage and internal consistency of data sets. Several indices based on satellite data can be used for this aim. In particular, NDVI (Normalized Difference Vegetation Index) is the most widely used index for vegetation monitoring based on remote sensing. This paper aims to perform a dynamical characterization of burned and unburned vegetation covers, using time series of remotely sensed data of some fire-affected and fire-unaffected sites. For this purpose, we used the Detrended Fluctuation Analysis (DFA), which permits the detection of persistent properties in nonstationary signals. Our results point out that the persistence of vegetation dynamics is significantly increased by the occurrence of fires.

Paper Details

Date Published: 9 October 2007
PDF: 9 pages
Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 674207 (9 October 2007); doi: 10.1117/12.738194
Show Author Affiliations
Rosa Lasaponara, Istituto di Metodologie per l'Analisi Ambientale (Italy)
Antonio Lanorte, Istituto di Metodologie per l'Analisi Ambientale (Italy)
Luciano Telesca, Istituto di Metodologie per l'Analisi Ambientale (Italy)


Published in SPIE Proceedings Vol. 6742:
Remote Sensing for Agriculture, Ecosystems, and Hydrology IX
Christopher M. U. Neale; Manfred Owe; Guido D'Urso, Editor(s)

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