Forest Fire Spread Modeling uses data-driven simulations to predict how wildfires propagate across landscapes. By analyzing factors like vegetation, weather, topography, and wind patterns, the model helps forecast fire behavior, assess risks, and support emergency planning, resource allocation.

A scalable, cross-language, probabilistic wildfire simulation engine for research, visualization, and experimentation.

A simulation of the effects of wind on forest fire done in Unity

A simple and rough simulation of forest fires on the windows console. It would probably make for a cool screen-saver.

Python Simulation of Forest Fire.

A simulation investigating the effects of forest fires on developing civilisations and how they can be modelled using cellular automata.

Explore parallel forest fire simulation in Python, comparing sequential and parallel implementations. Evaluate performance, visualize fire spread, and analyze running times for different grid sizes and neighborhood algorithms.

Forest Fire simulation in C#.

AI-based forest fire risk assessment and spread simulation using GIS, UNet, LSTM, and Cellular Automata

A Java application that simulates the propagation of fire through a forest grid.

This simple program uses Monte Carlo simulation to compute the maximum denstiy of trees in a forest, such that a forest fire has a low probability of spreading.

Simulation de feux de forêt

No description available

Simulation of forest fire using cellular automata

Simulation of a forest fire given basic parameters of the forest.

🔥 Forest fire simulation using the Godot Engine.

Using Cellular Automata for Modelling and Simulation of Forest Fires

Model inputs for simulations of Rx fire, wildfire, forest management and climate change

Forest Fire Simulation Project for the Completion of PH4505 Computational Physics - NTU Singapore Spring 2018

General purpose Cellular Automata C++ Library. Can be leveraged for grid simulations, such as forest fires or highway traffic.

3D simulation of a quadcopter drone navigating through a dense forest to extinguish a fire: Path planning with RRT*, and advanced control strategy (LPV-MPC). Using pydrake for optimization.

Controlling forest fires in a simulation using reinforcement learning, as part of a bachelors project at the University of Groningen. This is a Python implementation of the original Wildfire-Control project.

The simulation of forest fires using Partial Differential Equation (PDE) and Agent-Based Modeling (ABM) methods. The wildfire propagation dynamics and their interaction with environmental factors (e.g. temp., wind, humidity) are studied on actual data collected from 2018 in California.

Final Project for ELT2031E: Modeling and Simulation Course

Controlling forest fires in a simulation using neural networks, as part of a bachelors project at the University of Groningen.

Forest fire simulation.

forest fire simulation

Forest Fire Simulation

forest fire simulation

No description available