Wildfire risk modeling

S Oliveira, J Rocha, A Sá - Current Opinion in Environmental Science & …, 2021‏ - Elsevier
Wildfires occur worldwide and affect different territories in diverse ways. New challenges in
wildfire management are emerging, fueled by climatic, land cover, and sociodemographic …

[PDF][PDF] Role of machine learning algorithms in forest fire management: A literature review

M Arif, KK Alghamdi, SA Sahel… - J. Robot …, 2021‏ - pdfs.semanticscholar.org
Forest fire disasters are recently getting lots of attention due to climate change globally.
Globally, climate changes are rapidly changing the fire patterns on Earth. Effective fire …

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 …

Forecasting fire risk with machine learning and dynamic information derived from satellite vegetation index time-series

Y Michael, D Helman, O Glickman, D Gabay… - Science of The Total …, 2021‏ - Elsevier
Fire risk map**–map** the probability of fire occurrence and spread–is essential for pre-
fire management as well as for efficient firefighting efforts. Most fire risk maps are generated …

Broadleaf tree phenology and springtime wildfire occurrence in boreal Canada

MA Parisien, QE Barber, MD Flannigan… - Global Change …, 2023‏ - Wiley Online Library
Although broadleaf tree species of the boreal biome have a lower flammability compared to
conifers, there is a period following snow melt and prior to leaf flush (ie, greenup), termed …

[HTML][HTML] Multi-temporal analysis of forest fire probability using socio-economic and environmental variables

SJ Kim, CH Lim, GS Kim, J Lee, T Geiger, O Rahmati… - Remote Sensing, 2019‏ - mdpi.com
As most of the forest fires in South Korea are related to human activity, socio-economic
factors are critical in estimating their probability. To estimate and analyze how human activity …

Causes of Indonesia's forest fires

RB Edwards, RL Naylor, MM Higgins, WP Falcon - World Development, 2020‏ - Elsevier
The economic costs of Indonesia's 2015 forest fires are estimated to exceed US $16 billion,
with more than 100,000 premature deaths. On several days the fires emitted more carbon …

Identifying anthropogenic and natural causes of wildfires by maximum entropy method-based ignition susceptibility distribution models

F Sari - Journal of Forestry Research, 2023‏ - Springer
Turkey has a high potential for wildfires along its Mediterranean coast because of its dense
forest cover and mild climate. An average of 250 wildfires occurs every year with more than …

Map** 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] Human activity affects forest fires: The impact of anthropogenic factors on the density of forest fires in Poland

A Kolanek, M Szymanowski, A Raczyk - Forests, 2021‏ - mdpi.com
Forest fires, due to climate change, are a growing threat to human life, health, and property,
especially in temperate climates. Unfortunately, the impact of individual factors on forest fires …