Wildfire Analyst Pocket

WFA Pocket is a mobile app that embodies the latest wildland fire behavior science into a robust tool for the firefighter and Fire Behavior Analyst.

WFA Pocket is a mobile app that embodies the latest wildland fire behavior science into a robust tool for the firefighter and Fire Behavior Analyst. Leveraging the science developed by the US Forest Service Missoula Fire Sciences Lab, this app enhances calculations with a 3D interactive map interface, real-time weather integration, and seamless fuels data assimilation.

WFA Pocket enables the wildland fire community with a powerful analytical tool that is designed to be used in the field. The app works either connected or disconnected, providing outputs and results in a form that is readily understood and usable.

Proven Science With Robust Technology: The Science Behind WFA Pocket WFA Pocket uses concepts and formulas developed by the US Forest Service Missoula Fire Sciences Lab to perform fire behavior calculations. It is a culmination of the wonderful science made possible by the work of applied wildfire scientists and wildland firefighters across the world. WFA Pocket compiles knowledge gained from the five-plus decades of applied research on wildfire behavior, and is intended to serve as a companion to the Fire Behavior Field Reference Guide (PMS 437).

Technosylva acknowledges the outstanding research conducted by the Missoula Fire Sciences Lab, the Rocky Mountain Research Station, and the many other scientists and practitioners who have pioneered much of this science.

WFA Pocket is a mobile simpler edition of Wildfire Analyst™. WFA provides real-time analysis of wildfire behavior and simulates the spread of wildfires. Behavior analysis and simulations are completed in seconds, providing results that afford timely decision making.

For wildland fire, time is of the essence, and Wildfire Analyst was specifically architected to support initial attack situations, giving the Fire Chief and Incident Commander the critical intelligence needed to support suppression and resource allocation.