[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 …
and ephemeral process that poses challenges for accurate early detection. To address this …
[HTML][HTML] Global fuel moisture content mapping from MODIS
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 …
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
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 …
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
Wildfire occurrence is a non-linear process resulting from interactions between weather,
topography, fuel, and anthropogenic factors amongst others. Modelling the probability of …
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
Background Dead fuel moisture content (DFMC) is crucial for quantifying fire danger, fire
behaviour, fuel consumption, and smoke production. Several previous studies estimating …
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
Accurate estimation of potential wildfire behavior characteristics (PWBC) can improve
wildfire danger assessment. However, wildfire behavior has been estimated by most fire …
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
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 …
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
Wildfire occurrence is attributed to the interaction of multiple factors including weather, fuel,
topography, and human activities. Among them, weather variables, particularly the temporal …
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 …
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
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 …
foliage fuel load (FFL) are important for fire managers to assess fire risk. Here, we integrated …