Autonomous unmanned aerial vehicles in bushfire management: Challenges and opportunities

S Partheepan, F Sanati, J Hassan - Drones, 2023 - mdpi.com
The intensity and frequency of bushfires have increased significantly, destroying property
and living species in recent years. Presently, unmanned aerial vehicle (UAV) technology …

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 …

[HTML][HTML] Classification and map** of European fuels using a hierarchical, multipurpose fuel classification system

E Aragoneses, M García, M Salis… - Earth System …, 2023 - essd.copernicus.org
Accurate and spatially explicit information on forest fuels becomes essential to designing an
integrated fire risk management strategy, as fuel characteristics are critical for fire danger …

Application of simulation modeling for wildfire exposure and transmission assessment in Sardinia, Italy

M Salis, B Arca, L Del Giudice, P Palaiologou… - International Journal of …, 2021 - Elsevier
The development of comprehensive fire management and risk assessment strategies is of
prominent concern in Southern Europe, due to the expanding scale of wildfire risk. In this …

Meteorological conditions conducive to the rapid spread of the deadly wildfire in eastern Attica, Greece

K Lagouvardos, V Kotroni… - Bulletin of the …, 2019 - journals.ametsoc.org
Abstract On 23 July 2018, Attica, Greece, was impacted by a major wildfire that took place in
a wildland–urban interface area and exhibited extreme fire behavior, characterized by a very …

Network analysis of wildfire transmission and implications for risk governance

AA Ager, CR Evers, MA Day, HK Preisler, AMG Barros… - PLoS …, 2017 - journals.plos.org
We characterized wildfire transmission and exposure within a matrix of large land tenures
(federal, state, and private) surrounding 56 communities within a 3.3 million ha fire prone …

Emulation of wildland fire spread simulation using deep learning

F Allaire, V Mallet, JB Filippi - Neural networks, 2021 - Elsevier
Numerical simulation of wildland fire spread is useful to predict the locations that are likely to
burn and to support decision in an operational context, notably for crisis situations and long …

[HTML][HTML] Evaluating the ability of FARSITE to simulate wildfires influenced by extreme, downslope winds in Santa Barbara, California

K Zigner, LMV Carvalho, S Peterson, F Fujioka… - Fire, 2020 - mdpi.com
Extreme, downslope mountain winds often generate dangerous wildfire conditions. We used
the wildfire spread model Fire Area Simulator (FARSITE) to simulate two wildfires influenced …

Estimation of potential wildfire behavior characteristics to assess wildfire danger in southwest China using deep learning schemes

R Chen, B He, Y Li, C Fan, J Yin, H Zhang… - Journal of environmental …, 2024 - Elsevier
Accurate estimation of potential wildfire behavior characteristics (PWBC) can improve
wildfire danger assessment. However, wildfire behavior has been estimated by most fire …

Modeling the effects of different fuel treatment mosaics on wildfire spread and behavior in a Mediterranean agro-pastoral area

M Salis, L Del Giudice, B Arca, AA Ager… - Journal of environmental …, 2018 - Elsevier
Wildfire spread and behavior can be limited by fuel treatments, even if their effects can vary
according to a number of factors including type, intensity, extension, and spatial …