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Mechanical Engineering, University of California, Berkeley

Software and Data

ELMFIRE and the Wildland-Urban Extension (WU-E)
ELMFIRE, the Eulerian Level set Model of FIRE spread, is open-source software Licensed under the Eclipse Public License – 2.0 (EPLv2). It is a wildland fire spread model that can be used to:

  • Forecast the spread of fires in real time.
  • Reconstruct the spread of historical fires.
  • Quantify landscape-scale fire behavior potential.
  • Estimate annual burn probability and fire severity.

The software was built by Chris Lautenberger (CloudFire, Inc and Berkeley Alumni) with the WU-E extension developed and maintained by the Berkeley Fire Research Lab.

Main documentation: https://elmfire.io/
Berkeley Fire Lab GitHub
The Fire Lab has a number of software and tools under development, with those in beta posted publicly on our GitHub.
Flame Tracker

The Flame Tracker is a Python-based video processing application designed for the combustion research community. With its Graphical User Interface (GUI), it is possible to edit a video and track a flame or a bright object on a frame by frame basis. Flame characteristics such as position, spread rate, length and area can be obtained by isolating a flame from its background with different methods.

The Flame Tracker is open source and cross platform; however, the MacOS and Windows versions have slightly different codes for the GUI visualization. The ‘script’ folder contains both versions.

The code (Python-based) works on Windows, MacOS and Linux, and it’s available on Github:
The instructions are available on Github as well:
Tutorials videos are also on Youtube:

Author: Luca Carmignani, PhD
Contact: flameTrackerContact@gmail.com

DINS Data Analysis

This repository contains scripts for data preprocessing and analysis for Damage Inspection Data (DINS) from CAL FIRE related to our paper https://www.nature.com/articles/s41467-025-63386-2.

Zenodo Data Repository