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 fire vegetation regrowth in Mediterranean landscapes at the Landsat TM scale.
Quantifying post-fire regrowth of remotely sensed Mediterranean vegetation with percolation-based methods
CARRANZA, Maria Laura;
2001-01-01
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 fire vegetation regrowth in Mediterranean landscapes at the Landsat TM scale.File in questo prodotto:
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