A surrogate model for rapidly assessing the size of a wildfire over time
Rapid estimates of the risk from potential wildfires are necessary for operational
management and mitigation efforts. Computational models can provide risk metrics, but are …
management and mitigation efforts. Computational models can provide risk metrics, but are …
[HTML][HTML] An adaptive quadtree-based approach for efficient decision making in wildfire risk assessment
Rapidly identifying high-risk areas for potential wildfires is crucial for preparedness, disaster
management, and operational logistics decisions. With the advancement of technologies …
management, and operational logistics decisions. With the advancement of technologies …
Leveraging a wildfire risk prediction metric with spatial clustering
Fire authorities have started widely using operational fire simulations for effective wildfire
management. The aggregation of the simulation outputs on a massive scale creates an …
management. The aggregation of the simulation outputs on a massive scale creates an …
[PDF][PDF] Leveraging a Wildfire Risk Prediction Metric with Spatial Clustering. Fire 2022, 5, 213
Fire authorities have started widely using operational fire simulations for effective wildfire
management. The aggregation of the simulation outputs on a massive scale creates an …
management. The aggregation of the simulation outputs on a massive scale creates an …
[PDF][PDF] DOMINGOS XAVIER VIEGAS
LM RIBEIRO - researchgate.net
The period between 2018 and 2022 showed us that the problem of wildfires at a global
scale is not abating, rather on the contrary. It seems that the consequences of climatic …
scale is not abating, rather on the contrary. It seems that the consequences of climatic …
[PDF][PDF] A Surrogate Model for Rapidly Assessing the Size of a Wildfire over Time. Fire 2021, 4, 20
Rapid estimates of the risk from potential wildfires are necessary for operational
management and mitigation efforts. Computational models can provide risk metrics, but are …
management and mitigation efforts. Computational models can provide risk metrics, but are …