Fire behavior modeling for operational decision-making

A Cardil, S Monedero, G Schag, S de-Miguel… - Current Opinion in …, 2021 - Elsevier
Simulation frameworks are necessary to facilitate decision-making to many fire agencies. An
accurate estimation of fire behavior is required to analyze potential impact and risk. Applied …

Towards an integrated approach to wildfire risk assessment: when, where, what and how may the landscapes burn

E Chuvieco, M Yebra, S Martino, K Thonicke… - Fire, 2023 - mdpi.com
This paper presents a review of concepts related to wildfire risk assessment, including the
determination of fire ignition and propagation (fire danger), the extent to which fire may …

Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern Europe

R Cilli, M Elia, M D'Este, V Giannico, N Amoroso… - Scientific reports, 2022 - nature.com
The impacts and threats posed by wildfires are dramatically increasing due to climate
change. In recent years, the wildfire community has attempted to estimate wildfire …

Wildfire risk prediction: A review

Z Xu, J Li, S Cheng, X Rui, Y Zhao, H He… - ar** territorial vulnerability to wildfires: A participative multi-criteria analysis
M Rivière, J Lenglet, A Noirault, F Pimont… - Forest Ecology and …, 2023 - Elsevier
The Mediterranean region is routinely affected by forest fires, with adverse consequences on
ecological, infrastructural, and socioeconomic assets. In a context of climate change, it is …

[HTML][HTML] Assessment of social vulnerability to forest fire and hazardous facilities in Germany

A Fekete, U Nehren - International Journal of Disaster Risk Reduction, 2023 - Elsevier
In recent years, Germany has seen an increase in forest fires, and many fires have occurred
in military training areas that are difficult to access for firefighting. While casualties are still …

Assessing wildfire exposure to communities and protected areas in Portugal

F Alcasena, A Ager, Y Le Page, P Bessa, C Loureiro… - Fire, 2021 - mdpi.com
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 …

Wildfire susceptibility map** using five boosting machine learning algorithms: The case study of the Mediterranean region of Turkey

SKM Abujayyab, MM Kassem, AA Khan… - Advances in Civil …, 2022 - Wiley Online Library
Forest fires caused by different environmental and human factors are responsible for the
extensive destruction of natural and economic resources. Modern machine learning …

Fires that matter: reconceptualizing fire risk to include interactions between humans and the natural environment

V Iglesias, N Stavros, JK Balch, K Barrett… - Environmental …, 2022 - iopscience.iop.org
Increasing fire impacts across North America are associated with climate and vegetation
change, greater exposure through development expansion, and less-well studied but salient …

[HTML][HTML] Predicting wildfire fuels and hazard in a central European temperate forest using active and passive remote sensing

J Heisig, E Olson, E Pebesma - Fire, 2022 - mdpi.com
Climate change causes more extreme droughts and heat waves in Central Europe, affecting
vegetative fuels and altering the local fire regime. Wildfire is projected to expand into the …