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Quantifying post-fire regrowth of remotely sensed mediterranean vegetation with percolation-based methods |
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| Authors: | Carlo Ricotta Carlo Blasi Maria Laura Carranza Pierpaolo Napolitano Enrico Massaro |
| Affiliation: | 1. Dipartimento di Biologia Vegetale , Università degli Studi di Roma “La Sapienza” , Piazzale Aldo Moro 5, Roma, 00185, Italy;2. Istituto Nazionale di Statistica , Via Cesare Balbo 16, Roma, 00184, Italy;3. Istituto Astronomico Università degli Studi di Roma “la Sapienza” , Via Lancisi 19, Roma, 00161, Italy |
| Abstract: | ABSTRACT Mediterranean landscapes are characterized by high stability to fire since regeneration of pre-existing spatial relationships among distinctive vegetation patches is quite rapid. The aim of this paper is to introduce a method based on percolation theory to quantitatively estimate structural variations in remotely sensed biomass data linked to post-fire dynamics of Mediterranean vegetation. The ability of the proposed method to estimate fire-induced variations in Mediterranean vegetation patterns made it appropriate to the monitoring of post five vegetation regrowth in Mediterranean landscapes at the Landsat TM scale. |
| Keywords: | Mediterranean vegetation percolation theory post-fire vegetation dynamics Normalized Difference Vegetation Index (NDVI) remote sensing wildfires |