Wildfire Risk Prediction: A Review
Wildfires have significant impacts on global vegetation, wildlife, and humans. They destroy
plant communities and wildlife habitats and contribute to increased emissions of carbon …
plant communities and wildlife habitats and contribute to increased emissions of carbon …
[HTML][HTML] SHAP-Driven Explainable Artificial Intelligence Framework for Wildfire Susceptibility Mapping Using MODIS Active Fire Pixels: An In-Depth Interpretation of …
Wildfire susceptibility maps play a crucial role in preemptively identifying regions at risk of
future fires and informing decisions related to wildfire management, thereby aiding in …
future fires and informing decisions related to wildfire management, thereby aiding in …
Advancing the LightGBM approach with three novel nature-inspired optimizers for predicting wildfire susceptibility in Kauaʻi and Molokaʻi Islands, Hawaii
This study developed three hybrid light gradient boosting machine (LightGBM) models using
novel metaheuristic algorithms (golden jackal optimization [GJO], the pelican optimization …
novel metaheuristic algorithms (golden jackal optimization [GJO], the pelican optimization …
Integrating ensemble machine learning and explainable AI for enhanced forest fire susceptibility analysis and risk assessment in Türkiye's Mediterranean region
H Tonbul - Earth Science Informatics, 2024 - Springer
Forest fires pose a serious risk to ecosystems in the Mediterranean region; thus, 2021 fires
in the Mediterranean region of Türkiye emphasize the requirement for accurate and …
in the Mediterranean region of Türkiye emphasize the requirement for accurate and …
A temporal perspective on the reliability of wildfire hazard assessment based on machine learning and remote sensing data
Z Matougui, M Zouidi - Earth Science Informatics, 2025 - Springer
Wildfires pose a significant natural hazard, particularly in Mediterranean regions where they
cause lasting and often irreversible damage. Despite ongoing prevention efforts, large-scale …
cause lasting and often irreversible damage. Despite ongoing prevention efforts, large-scale …
Inference of wildfire causes from their physical, biological, social and management attributes
Effective wildfire prevention includes actions to deliberately target different wildfire causes.
However, the cause of an increasing number of wildfires is unknown, hindering targeted …
However, the cause of an increasing number of wildfires is unknown, hindering targeted …
[HTML][HTML] Ensemble-based forecasting of wildfire potentials using relative index in Gangwon Province, South Korea
Wildfire indices have been widely used to assess wildfire potential under varying climate
conditions. However, their region-specific applicability remains limited due to inherent …
conditions. However, their region-specific applicability remains limited due to inherent …
Wastewater treatment process enhancement based on multi-objective optimization and interpretable machine learning
Optimization and control of wastewater treatment process (WTP) can contribute to cost
reduction and efficiency. A wastewater treatment process multi-objective optimization …
reduction and efficiency. A wastewater treatment process multi-objective optimization …
[HTML][HTML] Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning
A Ahajjam, M Allgaier, R Chance, E Chukwuemeka… - Ecological …, 2024 - Elsevier
Wildfires are an integral part of Alaska's ecological landscape, shaping its boreal forests and
tundra. However, recent shifts in wildfire frequency, intensity, and seasonality pose …
tundra. However, recent shifts in wildfire frequency, intensity, and seasonality pose …
Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models
Wildfires pose a significant natural disaster risk to populations and contribute to accelerated
climate change. As wildfires are also affected by climate change, extreme wildfires are …
climate change. As wildfires are also affected by climate change, extreme wildfires are …