Cell2Fire W

A big-scale, grid, forest fire simulator; parallel and fast (c++) nevertheless with a friendly graphical user interface for QGIS.

This fire spread simulator, supports 3 fire models:

• Kitral, formerly: C2F+K
• Scott&Burgan, formerly C2F+S&B,
• Canada (all based from) Cell2Fire.

As Cell2Fire, i) the landscape is characterized as a grid, in which every cell has the same size, and the necessary information to simulate fire spread, i.e. fuel type, elevation and ignition probability, among others; ii) exploits parallel computation methods which allows users to run large-scale simulations in short periods of time; iii) the fires spread within each cell is assumed to be elliptical; and iv) it includes powerful statistical, graphical output, and spatial analysis features to facilitate the display and analysis of projected fire growth.

Installation, usage, specifications available by reading the friendly manual here.

Usage (TL;DR)

• Easy: Use through QGIS GUI
• Moderate: Download a release, unzip, and run the CLI
• Collaborative: Clone & compile

Output examples

Previncat's Zone 60 (Catalonian Instance): forest and a simulated fire spread with its corresponding scar and growth propagation tree.

Risk metrics: Burn Probability (BP), Betweenness Centrality (BC), Downstream Protection Value (DPV), and Growth Propagation Tree (GPT).

Easy: Graphical User Interface for QGIS

1. Install QGIS >= LTR version
2. Add this as plugin server repo in QGIS
3. Pip install python dependendiencies to use other related algorithms such as risk metrics and landscape decision optimization
4. Install the plugin from the QGIS plugin manager
5. Use the plugin from the processing toolbox: Use the instance downloader to get ready instance, and then simulate your first wildfire!

Full guide, how to fire2a.io/docs Plugin repo: fire2a/fire-analytics-qgis-processing-toolbox-plugin repo

Moderate: CLI

1. Download a release (Cell2FireW...zip) from the right vertical tab bar, unzip
2. Download a prepared instance, also from the releases tab, choose your fuel model: Kitral, Scott&Burgan, or Canada (--sim <K|S|C>)
3. Open a terminal, type the following:

# needs an empty directory to store the results
mkdir results 

# locate your binary
cd C2F-W/Cell2Fire/

# run idea
./Cell2Fire[.exe|Linux.x86-64|Darwin.x86-64] --input-instance-folder </path/to/instance> --output-folder </path/to/empty/results> --sim <K|S|C> --nthreads 16 > log.txt

# sample
./Cell2Fire.Linux.x86_64 --final-grid --output-messages --out-ros --sim S --nsims 2 --seed 123 --nthreads 3 --fmc 66 --scenario 2 --cros --weather rows --input-instance-folder /tmp/processing_cdcCGk/Vilopriu_2013 --output-folder /tmp/processing_cdcCGk/Vilopriu_2013/results | tee log.txt

# note: binaries are named like this:
ext=`python3 -c "import platform;print(f'.{platform.system()}.{platform.machine()}')"`
mv Cell2Fire Cell2Fire$ext

Collaborative: compile it

git clone
cd C2F-W/Cell2Fire
sudo apt install g++-12 libboost-all-dev libeigen3-dev
make
sudo make install
git switch -c my-feature

Other platform details at .github/workflows/build\*.yml