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The wildland-urban interface map of Italy: A nationwide dataset for wildfire risk management.
D'Este, Marina; Giannico, Vincenzo; Lafortezza, Raffaele; Sanesi, Giovanni; Elia, Mario.
Afiliação
  • D'Este M; Department of Agricultural and Environmental Sciences, University of Bari A. Moro, Via Amendola 165/A, Bari 70126, Italy.
  • Giannico V; Department of Agricultural and Environmental Sciences, University of Bari A. Moro, Via Amendola 165/A, Bari 70126, Italy.
  • Lafortezza R; Department of Agricultural and Environmental Sciences, University of Bari A. Moro, Via Amendola 165/A, Bari 70126, Italy.
  • Sanesi G; Department of Geography, The University of Hong Kong, Centennial Campus, Pokfulam Road, Hong Kong, China.
  • Elia M; Department of Agricultural and Environmental Sciences, University of Bari A. Moro, Via Amendola 165/A, Bari 70126, Italy.
Data Brief ; 38: 107427, 2021 Oct.
Article em En | MEDLINE | ID: mdl-34646917
ABSTRACT
A wildland-urban interface (WUI) raster map was created for the Italian peninsula with a resolution of 30 m per pixel. The map creation process consisted of three fundamental

steps:

(1) selection of buildings within the wildland-urban interface areas and subsequent classification of these into isolated, scattered, and clustered buildings; (2) creation of the tree canopy cover layer; (3) generation of WUI map by the intersection of two previous products. According to the WUI map, more than half of the total area of Italy is occupied by interface areas. Areas with buildings classified as clustered (24.61%) and scattered (19.15%) predominate on the territory compared to isolated buildings (14.93%). Most of the buildings are located in areas with a tree cover canopy between up to 64%. This map is functional to the implementation of forest fire prevention plans and to the identification of buildings that are close to fire risk areas such as forests, grasslands, and pastures.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Revista: Data Brief Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Revista: Data Brief Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Itália