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Potential Control Location Suitability Model

Map of landscape that centers a large pink amorphous shape representing the footprint of a wildfire. Colors of mauve, orange, green, blue and purple speckle the surrounding area. Each color represents a numeric range of potential control locations.

Fire behavior has grown more extreme and unpredictable. Changes in climate, wildfire complexity, and forest and fuel conditions outpace even the most advanced fire modeling systems. To navigate this complexity, wildfire responders rely on decision-support tools to reduce risk. Among them, the Potential Control Locations (PCL) Suitability map has become one of the most requested and utilized wildfire decision-support analytics by Complex Incident (Type 1 and 2) Command Teams. 

The Potential Control Locations Suitability model uses machine learning and over 20 years of past fire containment successes and failures to identify the best and worst locations for fire containment. The map output is updated annually for the western United States. 

Prior to a fire, land managers can use the Potential Control Locations Suitability model to help inform Potential Operational Delineation (POD) boundary locations. During a prescribed or wildland fire, the Potential Control Locations model helps managers rapidly assess containment options, consider the quality of fire control lines, and determine the resources they need to meet management objectives. Further, managers can use the Potential Control Locations Suitability map as a tool to communicate options, strategy, and decisions with partners and stakeholders. Potential Control Locations also serve as the starting condition to the FireCon daily fire containment model.

During the 2022 and 2023 fire seasons, the Potential Control Locations model correctly predicted more than 80 percent of containment successes and 90% of containment failures in the western U.S. 

A group of six men standing around a large map on a table. One man is drawing on it.
Photo Credit
Kit O'Connor

Managers use the PCL Suitability model while preparing for future wildfires at a Potential Operational Delineation (POD) workshop on the Beaverhead-Deerlodge National Forest. 

Purpose

The Potential Control Location Suitability model predicts the best and worst locations for engaging fire. It can help fire managers improve their chances of successful wildfire containment and reduce risk of harm to wildland firefighters.

Applicability and Overview

Key Uses
Fire
Scale
Landscape
User Experience Level
Beginner
What do you need to get started?
It is accessed through the Risk Management Assistance (RMA) Dashboard. It can be used directly in the map viewer or downloaded as a raster or Google Earth .kmz overlay.
Outputs
Annual prediction of relative fire containment suitability for any location in the western United States based on past fire outcomes
Strengths
Annually updated West-wide coverage at 30m resolution incorporates recent fires, fuel treatments, and other environmental conditions to improve effectiveness of fire planning and wildfire incident response
Limitations
Currently available only as an annual product that does not account for seasonal or daily changes to weather, resource availability, or containment actions

People

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Last updated May 14, 2026