The knowledge of a free-burning fire's potential rate of spread is critical for safe and effective
bushfire control and use. A number of models for predicting the head-fire rate of spread in …

Wildfire management has been struggling in recent years with escalating devastation,
expenditures, and complexity. Given the copious factors involved and the complexity of their …

Coupled fire-atmospheric modeling tools are increasingly used to understand the complex
and dynamic behavior of wildland fires. Multiple research tools linking combustion to fluid …

The distribution of fuels is recognised as a key driver of wildland fire behaviour. However,
our understanding of how fuel density heterogeneity affects fire behaviour is limited because …

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 …

Computational models for natural hazards usually require a large number of input
parameters that affect the model outcome in a complex manner. The sensitivity of the input …

Appropriate categorisation and description of living vegetation and dead biomass is
necessary to support the rising complexity of managing wildland fire and healthy …

Abstract We apply the Physics Informed Neural Network (PINN) to the problem of wildfire fire-
front modelling. We use the PINN to solve the level-set equation, which is a partial …

The availability of wildland fire propagation models with parameters estimated in an
accurate way starting from measurements of fire fronts is crucial to predict the evolution of …

The precise information on fuel characteristics is essential for wildfire modelling and
management. Satellite remote sensing can provide accurate and timely measurements of …