The large and catastrophic wildfires have been increasing across the globe in the recent
decade, highlighting the importance of simulating and forecasting fire dynamics in near real …

Simulation frameworks are necessary to facilitate decision-making to many fire agencies. An
accurate estimation of fire behavior is required to analyze potential impact and risk. Applied …

Effective wildland fire management requires real-time access to comprehensive and distilled
information from different data sources. The Digital Twin technology becomes a promising …

The computational cost of predicting wildland fire spread across large, diverse landscapes is
significant using current models, which limits the ability to use simulations to develop …

This paper introduces a wildfire monitoring system based on a fleet of Unmanned Aerial
Vehicles (UAVs) to provide firefighters with precise and up-to-date information about a …

A learning-based wildfire spread model was developed in this study to predict short-term
wildfire spread. Real-time rate of spread (RoS) measurement was first conducted by …

In recent times there have been increasing efforts to integrate technology into wildfire
management, especially in the fields of tactical monitoring and simulation. On the one hand …

A variety of remote sensing techniques have been applied to forest fires. However, there is
at present no system capable of monitoring an active fire precisely in a totally automated …

As bias and uncertainties inevitably exist on both wildland fire model states and parameters,
fire simulations do not always accurately forecast the temporal and spatial progression of …

The general objective of this research is to develop a prototype data-driven wildland fire
spread simulator, called FIREFLY, using an ensemble-based data assimilation approach …