SPOT-VGT time series based estimation of fire-induced variability in vegetation covers

Rosa Lasaponara; Antonio Lanorte; Luciano Telesca

doi:10.1117/12.738194

9 October 2007 SPOT-VGT time series based estimation of fire-induced variability in vegetation covers

Rosa Lasaponara, Antonio Lanorte, Luciano Telesca

Proceedings Volume 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX; 674207 (2007) https://doi.org/10.1117/12.738194
Event: SPIE Remote Sensing, 2007, Florence, Italy

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.

Citation Download Citation

Rosa Lasaponara, Antonio Lanorte, and Luciano Telesca "SPOT-VGT time series based estimation of fire-induced variability in vegetation covers", Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 674207 (9 October 2007); https://doi.org/10.1117/12.738194

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