180 citations · 344 across the 6 of their papers we have counts for
6 papers
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel +7
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing catastrophic losses in both human lives and forest wildlife. Recently, the use of Artific…
Computational modeling of extreme wildland fire events: a synthesis of scientific understanding with applications to forecasting, land management, and firefighter safety
J. L. Coen, W. Schroeder, S. Conway +1
The understanding and prediction of large wildland fire events around the world is a growing interdisciplinary research area advanced rapidly by development and use of computationa…
Real-Time Data Driven Wildland Fire Modeling
Jonathan D. Beezley, Soham Chakraborty, Janice L. Coen +4
We are developing a wildland fire model based on semi-empirical relations that estimate the rate of spread of a surface fire and post-frontal heat release, coupled with WRF, the We…
Towards a Real-Time Data Driven Wildland Fire Model
Jan Mandel, Jonathan D. Beezley, Soham Chakraborty +4
A wildland fire model based on semi-empirical relations for the spread rate of a surface fire and post-frontal heat release is coupled with the Weather Research and Forecasting atm…
Data Assimilation for Wildland Fires: Ensemble Kalman filters in coupled atmosphere-surface models
Jan Mandel, Jonathan D. Beezley, Janice L. Coen +1
Two wildland fire models are described, one based on reaction-diffusion-convection partial differential equations, and one based on semi-empirical fire spread by the level let meth…
A wildland fire model with data assimilation
Jan Mandel, Lynn S. Bennethum, Jonathan D. Beezley +4
A wildfire model is formulated based on balance equations for energy and fuel, where the fuel loss due to combustion corresponds to the fuel reaction rate. The resulting coupled pa…