A review of machine learning applications in wildfire science and management
Artificial intelligence has been applied in wildfire science and management since the 1990s,
with early applications including neural networks and expert systems. Since then, the field …
with early applications including neural networks and expert systems. Since then, the field …
A systematic review of applications of machine learning techniques for wildfire management decision support
Wildfires threaten and kill people, destroy urban and rural property, degrade air quality,
ravage forest ecosystems, and contribute to global warming. Wildfire management decision …
ravage forest ecosystems, and contribute to global warming. Wildfire management decision …
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …
catastrophic losses. These losses have underscored the urgent need to improve public …
Convergence in critical fuel moisture and fire weather thresholds associated with fire activity in the pyroregions of Mediterranean Europe
Wildfires are becoming an increasing threat to many communities worldwide. There has
been substantial progress towards understanding the proximal causes of increased fire …
been substantial progress towards understanding the proximal causes of increased fire …
Machine learning methods and synthetic data generation to predict large wildfires
Wildfires are becoming more frequent in different parts of the globe, and the ability to predict
when and where they will occur is a complex process. Identifying wildfire events with high …
when and where they will occur is a complex process. Identifying wildfire events with high …
Fire regime dynamics in mainland Spain. Part 1: Drivers of change
Fire regimes are evolving worldwide driven by socioeconomic and environmental changes.
Understanding the forces behind fire regime dynamics is essential to achieve effective …
Understanding the forces behind fire regime dynamics is essential to achieve effective …
Modelling the daily probability of lightning-caused ignition in the Iberian Peninsula
Background Lightning is the most common origin of natural fires, being strongly linked to
specific synoptic conditions associated with atmospheric instability, such as dry …
specific synoptic conditions associated with atmospheric instability, such as dry …
The relationship between fire severity and burning efficiency for estimating wildfire emissions in Mediterranean forests
Forests are exposed to changing climatic conditions reflected by increasing drought and
heat waves that increase the risk of wildfire ignition and spread. Climatic variables such as …
heat waves that increase the risk of wildfire ignition and spread. Climatic variables such as …
[HTML][HTML] Coupling wildfire spread simulations and connectivity analysis for hazard assessment: a case study in Serra da Cabreira, Portugal
This study aims to assess wildfire hazard in northern Portugal by combining landscape-
scale wildfire spread modeling and connectivity analysis to help fuel management planning …
scale wildfire spread modeling and connectivity analysis to help fuel management planning …
Characterising the holdover phase of lightning-ignited wildfires in Catalonia
In the present work, we analysed fuel moisture conditions during ignition, holdover, and
detection of flaming combustion of lightning-ignited wildfires in Catalonia (north-eastern …
detection of flaming combustion of lightning-ignited wildfires in Catalonia (north-eastern …