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 / Ricotta, Carlo; Blasi, Carlo; Maria Laura, Carranza; Pierpaolo, Napolitano; Enrico, Massaro. - In: PLANT BIOSYSTEMS. - ISSN 1126-3504. - STAMPA. - 135:3(2001), pp. 311-317. [10.1080/11263500112331350940]
Quantifying post-fire regrowth of remotely sensed Mediterranean vegetation with percolation-based methods
RICOTTA, Carlo;BLASI, Carlo;
2001
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
