The wildland-anthropic interface raster data of the Italy–France maritime cooperation area (Sardinia, Corsica, Tuscany, Liguria, and Provence-Alpes-Côte d'Azur)

Giudice, Liliana Del; Arca, Bachisio; Scarpa, Carla; Pellizzaro, Grazia; Duce, Pierpaolo; Salis, Michele

doi:10.1016/j.dib.2021.107355

Cited by 5 publications

(7 citation statements)

References 3 publications

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“…Heretofore, community risk has been assessed using many different proxies, including structure and population density maps coupled with a hazard proxy in surrounding lands [23,24,[82][83][84][85]. Nonetheless, we proved that structure density plus a hazard does not necessarily correlate with the number of exposed structures per year.…”

Section: Discussionmentioning

confidence: 77%

Assessing Wildfire Exposure to Communities and Protected Areas in Portugal

Alcasena

Ager

Page³

et al. 2021

Fire

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During the 2017 wildfire season in Portugal, unprecedented episodes burned 6% of the country’s area and underscored the need for a long-term comprehensive solution to mitigate future wildfire disasters. In this study, we built and calibrated a national-scale fire simulation system including the underlying fuels and weather data and used the system to quantify wildfire exposure to communities and natural areas. We simulated 10,000 fire season replicates under extreme weather to generate 1.6 million large wildfire perimeters and estimate annual burn probability and fire intensity at 100 m pixel resolution. These outputs were used to estimate wildfire exposure to buildings and natural areas. The results showed a fire exposure of 10,394 structures per year and that 30% of communities accounted for 82% of the total. The predicted burned area in natural sites was 18,257 ha yr−1, of which 9.8% was protected land where fuel management is not permitted. The main burn probability hotspots were in central and northern regions. We highlighted vital priorities to safeguard the most vulnerable communities and promote landscape management programs at the national level. The results can be useful to inform Portugal’s new national plan under implementation, where decision-making is based on a probabilistic methodology. The core strategies include protecting people and infrastructure and wildfire management. Finally, we discuss the next steps necessary to improve and operationalize the framework developed here. The wildfire simulation modeling approach presented in this study is extensible to other fire-prone Mediterranean regions where predicting catastrophic fires can help anticipate future disasters.

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Section: Discussionmentioning

confidence: 77%

Assessing Wildfire Exposure to Communities and Protected Areas in Portugal

Alcasena

Ager

Page³

et al. 2021

Fire

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“…In wildland-urban interface (WUI) areas, our exposure results offer a valuable resource for providing a spatially explicit and quantitative measure of buildings threatened by wildfires and for enhancing existing WUI maps (Del Giudice et al, 2021;Bar-Massada et al, 2023), which aid in identifying areas where structures intermingle with hazardous fuels. However, previous studies have shown that high building density does not necessarily correlate with high wildfire exposure or losses (Alcasena et al, 2021(Alcasena et al, , 2022, thus emphasizing the need of estimating the actual number of structures threatened by wildfires and provide policymakers with rough estimates of potential impacts during wildfires.…”

Section: Discussionmentioning

confidence: 99%

Assessing cross-boundary wildfire hazard, transmission, and exposure to communities in the Italy-France Maritime cooperation area

Salis,

Del Giudice,

Alcasena-Urdiroz

et al. 2023

Front. For. Glob. Change

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The growing threats posed by wildfires in Southern Europe are calling for the development of comprehensive and sound management and risk assessment strategies. In this work, we present the application of wildfire simulation modeling based on the minimum travel time (MTT) algorithm to assess fine-scale (100-m resolution) wildfire hazard, transmission, and exposure to communities in the Italy-France Maritime cooperation area (Sardinia, Corsica, Tuscany, Liguria and Provence-Alpes-Côte d’Azur), which cover about 72,000 km2 of land. We simulated thousands of wildfires considering the current landscape and characterized and measured fine-scale wildfire risk factors and profiles by taking into account historical fire regimes, fuels, winds and fuel moisture conditions associated with the occurrence of the largest wildfires (>100 ha) that affected the study area in the last 20 years. Individual fires were simulated at 100-m resolution, consistent with the input files. Modeled annual burn probability and ignition probability revealed that Sardinia was the Region most affected by wildfires. The wildfire simulation outputs were then combined with main land uses and building footprint locations to characterize wildfire transmission and exposure to communities, and were summarized for main vegetation types and Regions. This study presents a cross-boundary and standardized approach based on wildfire spread modeling to analyze and quantify wildfire risk profiles in Southern Europe. The stochastic wildfire modeling systems we implemented used harmonized sets of data for a vast, fire-prone Mediterranean area, where previous similar studies were conducted at coarser resolutions and covered lower extent of lands. The approach presented in this work can be used as a reference pillar for the development and implementation of a common wildfire risk monitoring, management, and governance plan in the study area. The methods and findings of this study can be replicated in neighboring Mediterranean and other regions threatened by wildfires.

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“…In general, a WUI is the contact area of urban land use and fire-prone wildland vegetation [66][67][68][69]. Although there have been a number of WUI mapping methodologies proposed and tested (e.g., [70][71][72]), a univocal definition of a WUI is not yet available for the Mediterranean region [73]. The WUI mapping procedure distinguishes two major classes, depending on the relationship between the built-up surfaces and the wildland vegetation: the (i) interface (where built-up areas meet wildland vegetation) and (ii) intermix (where built-up areas intermingle with wildland vegetation) [74].…”

Section: Fire Hazardmentioning

confidence: 99%

Conceptual Model for Integrated Meso-Scale Fire Risk Assessment in the Coastal Catchments in Croatia

Horvat,

Karleuša

2024

Remote Sensing

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Various factors influence wildfire probability, including land use/land cover (LULC), fuel types, and their moisture content, meteorological conditions, and terrain characteristics. The Adriatic Sea coastal area in Croatia has a long record of devastating wildfires that have caused severe ecological and economic damages as well as the loss of human lives. Assessing the conditions favorable for wildfires and the possible damages are crucial in fire risk management. Adriatic settlements and ecosystems are highly vulnerable, especially during summer, when the pressure from tourist migration is the highest. However, available fire risk models designed to fit the macro-scale level of assessment cannot provide information detailed enough to meet the decision-making conditions at the local level. This paper describes a model designed to assess wildfire risks at the meso-scale, focusing on environmental and anthropogenic descriptors derived from moderate- to high-resolution remote sensing data (Sentinel-2), Copernicus Land Monitoring Service datasets, and other open sources. Risk indices were integrated using the multi-criteria decision analysis method, the analytic hierarchy process (AHP), in a GIS environment. The model was tested in three coastal catchments, each having recently experienced severe fire events. The approach successfully identified zones at risk and the level of risk, depending on the various environmental and anthropogenic conditions.

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The wildland-anthropic interface raster data of the Italy–France maritime cooperation area (Sardinia, Corsica, Tuscany, Liguria, and Provence-Alpes-Côte d'Azur)

Cited by 5 publications

References 3 publications

Assessing Wildfire Exposure to Communities and Protected Areas in Portugal

Assessing Wildfire Exposure to Communities and Protected Areas in Portugal

Assessing cross-boundary wildfire hazard, transmission, and exposure to communities in the Italy-France Maritime cooperation area

Conceptual Model for Integrated Meso-Scale Fire Risk Assessment in the Coastal Catchments in Croatia

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