Euclidean analytical tools for quantifying the patchiness of complex natural patterns such as wild res in general do not recognize that measures of object densities over the landscape vary as a function of the size of the spatial elements. Therefore, improved fractal statistical methods are needed to quantify patch structures in ways that capture the spatial variation of the analysed pattern in relation to scale. The aims of this research are to show rst, that remotely sensed wild re scars are fractal objects, and second, how the resulting fractal dimension can be interpreted to give insight into the dynamics of re spread over the landscape.
Self-similar spatial clustering of wildland fires: the example of a large wildfire in Spain / Ricotta, Carlo; R., Retzlaff. - In: INTERNATIONAL JOURNAL OF REMOTE SENSING. - ISSN 0143-1161. - STAMPA. - 21:10(2000), pp. 2113-2118. [10.1080/01431160050021330]
Self-similar spatial clustering of wildland fires: the example of a large wildfire in Spain
RICOTTA, Carlo;
2000
Abstract
Euclidean analytical tools for quantifying the patchiness of complex natural patterns such as wild res in general do not recognize that measures of object densities over the landscape vary as a function of the size of the spatial elements. Therefore, improved fractal statistical methods are needed to quantify patch structures in ways that capture the spatial variation of the analysed pattern in relation to scale. The aims of this research are to show rst, that remotely sensed wild re scars are fractal objects, and second, how the resulting fractal dimension can be interpreted to give insight into the dynamics of re spread over the landscape.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


