Integration of quantitative analysis and local community involvement for wildfire risk mapping: a case study from an Alpine valley
Ingrid Vigna
Interuniversity Department of Regional and Urban Studies and Planning (DIST), Politecnico di Torino & Università di Torino, Italy
Angelo Besana
Interuniversity Department of Regional and Urban Studies and Planning (DIST), Politecnico di Torino & Università di Torino, Italy
Elena Comino
Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, Italy
Alessandro Pezzoli
Interuniversity Department of Regional and Urban Studies and Planning (DIST), Politecnico di Torino & Università di Torino, Italy
Davide Ascoli
Department of Agricultural, Forest and Food Sciences (DISAFA), Università di Torino, Italy
Related authors
Velia Bigi, Ingrid Vigna, and Elena Comino
Abstr. Int. Cartogr. Assoc., 3, 302, https://doi.org/10.5194/ica-abs-3-302-2021, https://doi.org/10.5194/ica-abs-3-302-2021, 2021
Jose V. Moris, Pedro Álvarez-Álvarez, Marco Conedera, Annalie Dorph, Thomas D. Hessilt, Hugh G. P. Hunt, Renata Libonati, Lucas S. Menezes, Mortimer M. Müller, Francisco J. Pérez-Invernón, Gianni B. Pezzatti, Nicolau Pineda, Rebecca C. Scholten, Sander Veraverbeke, B. Mike Wotton, and Davide Ascoli
Earth Syst. Sci. Data, 15, 1151–1163, https://doi.org/10.5194/essd-15-1151-2023, https://doi.org/10.5194/essd-15-1151-2023, 2023
Short summary
Short summary
This work describes a database on holdover times of lightning-ignited wildfires (LIWs). Holdover time is defined as the time between lightning-induced fire ignition and fire detection. The database contains 42 datasets built with data on more than 152 375 LIWs from 13 countries in five continents from 1921 to 2020. This database is the first freely-available, harmonized and ready-to-use global source of holdover time data, which may be used to investigate LIWs and model the holdover phenomenon.
Velia Bigi, Ingrid Vigna, and Elena Comino
Abstr. Int. Cartogr. Assoc., 3, 302, https://doi.org/10.5194/ica-abs-3-302-2021, https://doi.org/10.5194/ica-abs-3-302-2021, 2021
E. Belcore, M. Piras, A. Pezzoli, G. Massazza, and M. Rosso
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 207–214, https://doi.org/10.5194/isprs-archives-XLII-2-W13-207-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-207-2019, 2019