[HTML][HTML] Fire Detection with Deep Learning: A Comprehensive Review

RN Vasconcelos, WJS Franca Rocha, DP Costa… - Land, 2024 - mdpi.com
Wildfires are a critical driver of landscape transformation on Earth, representing a dynamic
and ephemeral process that poses challenges for accurate early detection. To address this …

[HTML][HTML] Global fuel moisture content mapping from MODIS

X Quan, M Yebra, D Riaño, B He, G Lai, X Liu - International Journal of …, 2021 - Elsevier
Fuel moisture content (FMC) of live vegetation is a crucial wildfire risk and spread rate driver.
This study presents the first daily FMC product at a global scale and 500 m pixel resolution …

Corrigendum to: Integrating remotely sensed fuel variables into wildfire danger assessment for China

X Quan, Q Xie, B He, K Luo, X Liu - International journal of …, 2021 - CSIRO Publishing
As regulated by the 'fire environment triangle', three major forces are essential for
understanding wildfire danger:(1) topography,(2) weather and (3) fuel. Within this concept …

Improving wildfire occurrence modelling by integrating time-series features of weather and fuel moisture content

X Quan, W Wang, Q Xie, B He, VR de Dios… - … Modelling & Software, 2023 - Elsevier
Wildfire occurrence is a non-linear process resulting from interactions between weather,
topography, fuel, and anthropogenic factors amongst others. Modelling the probability of …

Regional estimation of dead fuel moisture content in southwest China based on a practical process-based model

C Fan, B He, J Yin, R Chen - International Journal of Wildland …, 2023 - CSIRO Publishing
Background Dead fuel moisture content (DFMC) is crucial for quantifying fire danger, fire
behaviour, fuel consumption, and smoke production. Several previous studies estimating …

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 …

[HTML][HTML] Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China

R Chen, B He, Y Li, Y Zhang, Z Liao, C Fan… - International Journal of …, 2024 - Elsevier
Accurate estimation of crown fire potential (CFP) can improve guidance on crown fire control
and management. However, robust simulations of crown fire behavior are still challenging …

Improving wildfire probability modeling by integrating dynamic-step weather variables over Northwestern Sichuan, China

R Chen, B He, X Quan, X Lai, C Fan - International Journal of Disaster Risk …, 2023 - Springer
Wildfire occurrence is attributed to the interaction of multiple factors including weather, fuel,
topography, and human activities. Among them, weather variables, particularly the temporal …

Assessing the effects of fuel moisture content on the 2018 Megafires in California

Z Kang, X Quan, G Lai - IEEE Journal of Selected Topics in …, 2022 - ieeexplore.ieee.org
In 2018, the megafire episodes on record occurred in California, causing a large number of
civilian deaths and damages. As an important part of the “fire environment triangle,” the fuel …

[HTML][HTML] Forest foliage fuel load estimation from multi-sensor spatiotemporal features

Y Li, R Chen, B He, S Veraverbeke - International Journal of Applied Earth …, 2022 - Elsevier
Foliage fuel is the most flammable component in crown fires. Spatiotemporal dynamics of
foliage fuel load (FFL) are important for fire managers to assess fire risk. Here, we integrated …