David Caballero
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
David Caballero has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Christophe Bouillon
Risk Ecosystems Vulnerability Resilence Joined Research Unit (RECOVER), French National Institute for Research in Agriculture, Alimentation and Environment (INRAE), F-13182 Aix en Provence, France
1 shared publication - Claudio Ribotta
Department of Agriculture, University of Sassari, 07100 Sassari, Italy
1 shared publication - Costantino Sirca
Department of Agricultural Sciences, University of Sassari, 07100 Sassari, Italy
1 shared publication - Donatella Spano
Department of Agricultural Sciences, University of Sassari, 07100 Sassari, Italy
1 shared publication - Eric Maillé
Risks, Ecosystems, Environment, Resilience Joint Research Unit (RECOVER), French National Research Institute for Agriculture, Food and Environment (INRAE), 13182 Aix-en-Provence, France
1 shared publication - José Maria Costa-Saura
Department of Agricultural Sciences, University of Sassari, Sassari, Italy
1 shared publication
Latest Publications
- Open Access
- 29 August 2022
- Published by MDPI AG in Environmental Sciences Proceedings
- Vol. 17 (1) , 107
A Multi-Component Approach for Mapping Wildfire Risk in the Wildland–Urban Interface
Global change is increasing concerns regarding fire risk, especially for the wildland–urban interface (WUI). Indeed, different cross-national funded projects aim to develop new methodologies and technologies for assessing and reducing fire risk at the WUI. Traditional approaches focused on multi-criteria decision analysis usually neglecting the interaction of multiple fine-scale components. Here, within the framework of the Italy–France Maritime INTERMED project, we develop a new fire risk assessment methodology following the IPCC guidelines, i.e., considering the three main risk determinants: hazard, exposure and vulnerability. Each single risk determinant integrates multiple components which were estimated using high-resolution data from the European Spatial Agency (ESA), field data, fire spread simulators and local administrations’ geo-data. Hazard components run at the local scale, involving weather and fuel moisture conditions, and also ignition patterns, whereas fire exposure components integrate both percolation and spot potentials (fire pathways and micro-scale land flammability) and postfrontal combustion (residential fuels). Finally, vulnerability components include the type of house and its configuration but also the existence of protection devices. Preliminary results suggest that this methodology might help fire risk planning in WUIs at both landscape and community scales.
- 29 August 2022
- Published by MDPI AG in Environmental Sciences Proceedings
- Vol. 17 (1) , 107
Open AccessA Multi-Component Approach for Mapping Wildfire Risk in the Wildland–Urban Interface
Global change is increasing concerns regarding fire risk, especially for the wildland–urban interface (WUI). Indeed, different cross-national funded projects aim to develop new methodologies and technologies for assessing and reducing fire risk at the WUI. Traditional approaches focused on multi-criteria decision analysis usually neglecting the interaction of multiple fine-scale components. Here, within the framework of the Italy–France Maritime INTERMED project, we develop a new fire risk assessment methodology following the IPCC guidelines, i.e., considering the three main risk determinants: hazard, exposure and vulnerability. Each single risk determinant integrates multiple components which were estimated using high-resolution data from the European Spatial Agency (ESA), field data, fire spread simulators and local administrations’ geo-data. Hazard components run at the local scale, involving weather and fuel moisture conditions, and also ignition patterns, whereas fire exposure components integrate both percolation and spot potentials (fire pathways and micro-scale land flammability) and postfrontal combustion (residential fuels). Finally, vulnerability components include the type of house and its configuration but also the existence of protection devices. Preliminary results suggest that this methodology might help fire risk planning in WUIs at both landscape and community scales.