Generation and Mapping of Fuel Types for Fire Risk Assessment

Elena Aragoneses; Emilio Chuvieco

doi:10.3390/fire4030059

Generation and Mapping of Fuel Types for Fire Risk Assessment

Fire ◽

10.3390/fire4030059 ◽

2021 ◽

Vol 4 (3) ◽

pp. 59

Author(s):

Elena Aragoneses ◽

Emilio Chuvieco

Keyword(s):

Risk Assessment ◽

Wildland Fire ◽

Rank Correlation ◽

Remote Sensing Data ◽

Fire Risk ◽

General Purpose ◽

Continental Scale ◽

Spearman’S Rank Correlation ◽

Fuel Mapping ◽

Fire Risk Assessment

Fuel mapping is key to fire propagation risk assessment and regeneration potential. Previous studies have mapped fuel types using remote sensing data, mainly at local-regional scales, while at smaller scales fuel mapping has been based on general-purpose global databases. This work aims to develop a methodology for producing fuel maps across European regions to improve wildland fire risk assessment. A methodology to map fuel types on a regional-continental scale is proposed, based on Sentinel-3 images, horizontal vegetation continuity, biogeographic regions, and biomass data. A vegetation map for the Iberian Peninsula and the Balearic Islands was generated with 85% overall accuracy (category errors between 3% and 28%). Two fuel maps were generated: (1) with 45 customized fuel types, and (2) with 19 fuel types adapted to the Fire Behaviour Fuel Types (FBFT) system. The mean biomass values of the final parameterized fuels show similarities with other fuel products, but the biomass values do not present a strong correlation with them (maximum Spearman’s rank correlation: 0.45) because of the divergences in the existing products in terms of considering the forest overstory biomass or not.

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Optimal preventive aerial resources relocation based on dynamic wildland fire risk assessment

Forest Ecology and Management ◽

10.1016/j.foreco.2006.08.074 ◽

2006 ◽

Vol 234 ◽

pp. S53

Author(s):

Fiorucci Paolo ◽

Gaetani Francesco ◽

Minciardi Riccardo

Keyword(s):

Risk Assessment ◽

Wildland Fire ◽

Fire Risk ◽

Fire Risk Assessment ◽

Wildland Fire Risk

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Integrating Fire Behavior Models and Geospatial Analysis for Wildland Fire Risk Assessment and Fuel Management Planning

Journal of Combustion ◽

10.1155/2011/572452 ◽

2011 ◽

Vol 2011 ◽

pp. 1-19 ◽

Cited By ~ 52

Author(s):

Alan A. Ager ◽

Nicole M. Vaillant ◽

Mark A. Finney

Keyword(s):

Risk Assessment ◽

Wildland Fire ◽

Fire Behavior ◽

Fire Risk ◽

Integrated System ◽

Fuel Management ◽

Management Planning ◽

Fire Risk Assessment ◽

Behavior Models ◽

Wildland Fire Risk

Wildland fire risk assessment and fuel management planning on federal lands in the US are complex problems that require state-of-the-art fire behavior modeling and intensive geospatial analyses. Fuel management is a particularly complicated process where the benefits and potential impacts of fuel treatments must be demonstrated in the context of land management goals and public expectations. A number of fire behavior metrics, including fire spread, intensity, likelihood, and ecological risk must be analyzed for multiple treatment alternatives. The effect of treatments on wildfire impacts must be considered at multiple scales. The process is complicated by the lack of data integration among fire behavior models, and weak linkages to geographic information systems, corporate data, and desktop office software. This paper describes our efforts to build a streamlined fuel management planning and risk assessment framework, and an integrated system of tools for designing and testing fuel treatment programs on fire-prone wildlands.

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