Spatial Analysis of Fire Susceptibility, Taking into Account Climatic, Vegetation and Geomorphological Triggering Factors through the Use of Remote Sensing Techniques

Dear Colleagues,

Global warming is favouring conditions of increasing aridity in much of the world, and this is leading to rather serious repercussions that tend to increase risks, reduce biodiversity and aggravate water scarcity. In this context, it is interesting to consider how human-induced climate change can influence the risk of fires, generating a chain reaction that is difficult to stop. It is, therefore, essential to clarify the fire-triggering conditions for each territory in relation to its ecosystem units. GIS software must play a primary role in spatial analysis aimed at monitoring and mitigating these problems, in order to make these studies not only conceptual but also applicative. Therefore, we cordially invite authors to contribute original research articles and reviews, on these fundamental issues that inevitably deeply affect the territories, both in terms of human lives, but also in terms of biodiversity and economic losses. Through the study of the climate, the vegetation involved and the analysis of satellite indices, this Special Issue aims to map fire susceptibility on a regional scale. In parallel, it would also like to encourage the drafting of warning models that allow the mitigation of risk conditions, through monitoring, based on threshold values. The aim of the research must be to enable rational land management, proposing targeted interventions by mapping the most at-risk areas and creating models that use climatic, vegetation and satellite survey data as input information.

We expect empirical or methodological contributions addressing any scientific aspect related to fire risk analysed with the aid of remote sensing and GIS software:

• GIS models to assess fire susceptibility.
• Definition of climatic threshold values or satellite indices for fire risk.
• Influence of vegetation type on fire outbreak.
• Differentiated fire risk assessment on the territory, spatializing environmental variables appropriately.
• Future climate change forecasts and effect on fire risk variation.
• Remote sensing analysis in order to assess the change in vegetation due to climate change.

Dr. Matteo Gentilucci
Prof. Dr. Nicola Casagli
Prof. Gilberto Pambianchi
Guest Editors

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