[HTML][HTML] Combustion dynamics of large-scale wildfires

N Liu, J Lei, W Gao, H Chen, X Xie - Proceedings of the Combustion …, 2021 - Elsevier
A fact often overlooked is that large-scale wildfires, although occurring infrequently, are
responsible for the overwhelming majority of fire-related suppression costs, economic …

[HTML][HTML] A review of thermal exposure and fire spread mechanisms in large outdoor fires and the built environment

AI Filkov, V Tihay-Felicelli, N Masoudvaziri, D Rush… - Fire safety journal, 2023 - Elsevier
Due to socio-economic and climatic changes around the world, large outdoor fires in the
built environment have become one of the global issues that threaten billions of people. The …

Forest fire spread monitoring and vegetation dynamics detection based on multi-source remote sensing images

Y Tian, Z Wu, M Li, B Wang, X Zhang - Remote Sensing, 2022 - mdpi.com
With the increasingly severe damage wreaked by forest fires, their scientific and effective
prevention and control has attracted the attention of countries worldwide. The breakthrough …

Global wildfire susceptibility mapping based on machine learning models

A Shmuel, E Heifetz - Forests, 2022 - mdpi.com
Wildfires are a major natural hazard that lead to deforestation, carbon emissions, and loss of
human and animal lives every year. Effective predictions of wildfire occurrence and burned …

[HTML][HTML] GIS-based methodology for prioritization of preparedness interventions on road transport under wildfire events

E Arango, M Nogal, HS Sousa, JC Matos… - International Journal of …, 2023 - Elsevier
Climate change is leading to a rise in the occurrence and intensity of wildfires, exacerbated
by the growing encroachment of communities into the natural environment, posing …

Integrated spatial analysis of forest fire susceptibility in the Indian western himalayas (IWH) using remote sensing and GIS-based fuzzy AHP approach

Pragya, M Kumar, A Tiwari, SI Majid, S Bhadwal… - Remote Sensing, 2023 - mdpi.com
Forest fires have significant impacts on economies, cultures, and ecologies worldwide.
Developing predictive models for forest fire probability is crucial for preventing and …

Human and biophysical drivers of fires in Semiarid Chaco mountains of Central Argentina

JP Argañaraz, GG Pizarro, M Zak, MA Landi… - Science of the Total …, 2015 - Elsevier
Fires are a recurrent disturbance in Semiarid Chaco mountains of central Argentina. The
interaction of multiple factors generates variable patterns of fire occurrence in space and …

Are the applications of wildland fire behaviour models getting ahead of their evaluation again?

ME Alexander, MG Cruz - Environmental Modelling & Software, 2013 - Elsevier
Evaluation is a crucial component for model credibility and acceptance by researchers and
resource managers. The nature and characteristics of free-burning wildland fires pose …

[HTML][HTML] Forest fire risk prediction based on stacking ensemble learning for yunnan Province of China

Y Li, G Li, K Wang, Z Wang, Y Chen - Fire, 2023 - mdpi.com
Forest fire risk prediction is essential for building a forest fire defense system. Ensemble
learning methods can avoid the problem of difficult model selection for disaster susceptibility …

Daily burned area and carbon emissions from boreal fires in Alaska

S Veraverbeke, BM Rogers, JT Randerson - Biogeosciences, 2015 - bg.copernicus.org
Boreal fires burn into carbon-rich organic soils, thereby releasing large quantities of trace
gases and aerosols that influence atmospheric composition and climate. To better …