Burn severity measures how intensely different parts of a landscape are burned. Rather than showing where a wildfire occurred, it reveals how much damage the fire caused to vegetation, organic matter, and the surrounding environment. Visualizing burn severity helps geo-professionals distinguish between lightly affected areas and locations where ecological damage is much more extensive.

This information supports wildfire mitigation in two key ways:

• It identifies and classifies where vegetation loss and soil damage are most severe
• It helps prioritize restoration efforts by highlighting areas likely to experience the greatest environmental impacts

A good example comes from California’s 2021 Dixie Fire, one of the largest single wildfires in the state’s history, as it burned around 1 million acres and cost $637 million for firefighters to suppress. Researchers used burn severity maps to identify where forest structure and vegetation experienced the greatest damage. Those visualizations continue to support restoration planning while improving researchers’ understanding of how similar landscapes may respond to future wildfires.

Knowing where a wildfire started is only part of the picture. Mapping the fire perimeter and visualizing how the fire spread across the landscape also provides valuable insight into which communities, ecosystems, and infrastructure were affected, while also revealing how terrain, vegetation, and weather influenced the fire’s movement. On a practical level, this information helps experts identify the full extent of the burned area and support post-fire planning, resource allocation, and long-term recovery efforts. 

One example that puts this into perspective is the January 2025 Palisades Fire, which was part of several wildfires in Los Angeles County. Following the event, emergency managers relied on real-time fire perimeter maps and spread modeling to coordinate evacuation orders across affected coastal communities. Once contained, spatial visualizations—specifically CAL FIRE’s Damage Inspection (DINS) mapping and FEMA geospatial dashboards—were deployed to inspect over 6,800 destroyed structures and guide immediate recovery efforts across the burn scar. 

Elevation, terrain steepness, and drainage pathways define the physical framework of a landscape. When fire strips away stabilizing root systems and protective canopy, gravity takes over—making steep slopes inherently vulnerable to slope failure, sheet erosion, and rapid sediment displacement. 

Visualizing high-resolution terrain data empowers geo-professionals to map slope gradients, model watershed catchment boundaries, and pinpoint natural choke points where runoff will concentrate.

Taking a look at the 2025 Los Angeles County wildfires again, federal agencies evaluated the steep terrain surrounding the Palisades and Eaton burn scars. By combining topographic basin morphometry with soil burn severity data, USGS Post-Wildfire Debris-Flow Hazard Assessments estimated the likelihood and potential volume of debris flows across burned catchments, helping define the rainfall thresholds needed to trigger hazards across affected watersheds.

Vegetation plays an essential role in stabilizing soil, reducing runoff, and protecting landscapes from erosion. Mapping where vegetation has been damaged or removed provides a clearer understanding of which areas have become more vulnerable following a wildfire.

The 2023 Canadian wildfire season—the largest on record—provides an excellent example. Researchers used Sentinel-2 satellite imagery to map vegetation loss across burned forests using cloud-based computing and vegetation indices. Those visualizations helped quantify the extent of damage while identifying areas where reduced vegetation could contribute to increased runoff, erosion, and other post-fire hazards, supporting both recovery planning and future risk assessments. 

Rainfall is often the trigger that transforms a burned landscape into an active hazard. Even storms that would normally pose little concern can generate dangerous flooding or debris flows when they occur over recently burned terrain.

That’s why highlighting rainfall patterns is critical. Doing so equips geo-professionals to do the following:

• Monitor precipitation intensity and distribution
• Identify where incoming storms are most likely to trigger flooding or debris flows

After Colorado’s 2020 Cameron Peak Fire—the largest wildfire in state history—forecasters and water managers closely monitored approaching summer storms across the steep Cache La Poudre watershed. Through interagency coordination, the USGS Emergency Assessment of Post-Fire Debris-Flow Hazards and NOAA/NWS early warning systems paired real-time rainfall data with burn severity maps to issue flash flood and debris-flow warnings. These visualizations helped downstream communities prepare for mudslides and empowered municipal utilities to protect drinking water infrastructure before contaminated runoff reached river intakes.

Soil condition ultimately determines how likely a burned landscape is to erode or fail. Wildfires can alter soil properties, making some areas far more susceptible to movement once rainfall occurs. Visualizing soil stability alongside other post-fire datasets helps reveal where those vulnerabilities are greatest. 

Following California’s 2017 Thomas Fire, scientists with interagency response teams combined soil burn severity maps with information on erodibility, slope, and expected rainfall thresholds to identify areas susceptible to post-fire debris flows before winter storms arrived. Published by the USGS and state emergency managers, these post-fire debris flow assessments helped local officials establish evacuation zones and prioritize mitigation efforts for communities facing elevated risk. 

The best insights emerge when multiple variables are viewed together. Overlaying burn severity, vegetation loss, topography, soil stability, and rainfall empowers geo-professionals to identify relationships that would be difficult—or impossible—to recognize in isolation. The result is a more complete understanding of where post-fire hazards are most likely to occur and where mitigation efforts should be focused first.

Hazard maps become even more valuable when they show what’s at risk. Showcasing hazard zones along with roads, bridges, utilities, neighborhoods, and other critical infrastructure helps planners and engineers quickly identify vulnerable assets and prioritize protective measures. Rather than simply showing where hazards exist, maps with these elements help answer an equally important question: What will those hazards affect?

Even the most accurate analysis loses value if stakeholders struggle to interpret it. That’s why you should avoid unnecessary visual clutter, use clean legends that are easy to interpret, and choose perceptually uniform color scales that accurately represent changes in severity. Well-designed maps allow both technical and non-technical audiences to understand risk quickly, leading to faster and more confident decision-making during planning and emergency response.

Wildfire mitigation doesn’t end once immediate hazards have been addressed. Landscapes continue to evolve as vegetation regrows, watersheds recover, and erosion risks change. Creating time-series maps and graphs equips stakeholders to monitor these long-term trends, evaluate whether mitigation efforts are working, and identify new areas of concern as conditions change. Comparing data across months or years also provides valuable insight that can improve planning for future wildfire seasons.

The same dataset may need to be presented differently depending on who will use it. Engineers might need detailed analyses with multiple data layers, while emergency managers, public officials, and community stakeholders benefit from simplified maps that clearly communicate priorities and areas of greatest concern. Designing visualizations with your audience in mind makes it easier for everyone to understand the information and take appropriate action.