GIS Wildfire Risk Assessment
Wildfire risk assessment uses GIS to combine fuel loads, terrain, weather patterns, infrastructure exposure, and structure inventories into actionable risk maps. GeoLever builds wildfire risk StoryMaps, dashboards, and geodatabases through ArcGIS Pro and ArcGIS Online. Pricing runs $2,500 to $25,000 depending on geographic scope, dataset complexity, and engagement model.
Wildfire risk maps already exist. USFS, state forestry departments, and consulting firms produce them every fire season. The problem is that those outputs rarely make it into the hands of the people who could act on them: homeowners in the wildland-urban interface, utility planners, insurers, and council members deciding on building codes and mitigation budgets.
We focus on the communication and decision layer. The underlying fuel modeling work usually exists. The StoryMap, dashboard, or geodatabase that turns that work into mitigation investment, insurance decisions, and code conversations is what gets missed.
Where Wildfire Risk Assessment Projects Struggle
Most wildfire risk assessment engagements run into the same handful of problems.
Fuel Model Translation Gap
Fuel modeling outputs from USFS LANDFIRE, state programs, and consultancies do not translate easily into actionable risk maps for non-fire-professional audiences. Burn probability grids do not change homeowner behavior on their own.
WUI Property-Level Communication
Wildland-urban interface risk needs to be communicated at property level so homeowners, insurers, and councils can make specific decisions about mitigation, building codes, and insurance.
Utility Infrastructure Exposure
Utility operators need to know which transmission corridors, substations, and customer service areas sit inside high-risk fire zones, and how that exposure changes seasonally and with mitigation work.
Multi-Source Fuel and Weather Data
Wildfire risk depends on fuels, weather, terrain, and ignition sources. Combining LANDFIRE, RAWS, structure inventories, and incident histories into one coherent geodatabase takes deliberate schema design.
Mitigation Tracking
Communities and utilities invest in fuel treatment, defensible space, and infrastructure hardening. Tracking that investment spatially and tying it to risk reduction is where most programs lose visibility.
GeoLever's Approach to Wildfire Risk Assessment
We design every wildfire risk assessment project around the decision it needs to support.
Wildfire Risk StoryMaps
Build StoryMaps that combine fuel model outputs, terrain, infrastructure exposure, and structure inventories into property-level risk communication for homeowners, councils, and insurers.
Utility Wildfire Exposure Dashboards
ArcGIS Dashboards that show utility transmission, distribution, and customer service exposure to wildfire risk, with seasonal variation and mitigation-status overlays.
Wildfire Risk Geodatabase Design
Design geodatabases that integrate LANDFIRE fuels, weather station data, structure inventories, and incident histories into a single working analytical foundation.
Mitigation Investment Tracking
Spatial workflows for tracking fuel treatment, defensible space, and infrastructure hardening investments tied to underlying risk layers so program managers can show progress.
Evacuation and Access StoryMaps
Evacuation route, ingress, and egress StoryMaps for at-risk communities tied to authoritative road, terrain, and capacity data for emergency manager and resident use.
Wildfire Risk Assessment Deliverables
Decision-ready outputs designed for the people who will actually use them.
Community Wildfire Risk StoryMap
An interactive StoryMap with property-level risk detail, fuel-treatment context, evacuation references, and mitigation guidance suitable for resident communication and council presentations.
Utility Wildfire Exposure Dashboard
An internal ArcGIS Dashboard summarizing utility infrastructure exposure to wildfire risk with seasonal variation, mitigation status, and customer service area overlays.
Wildfire Risk Geodatabase
A working geodatabase integrating LANDFIRE fuels, weather station data, structure inventories, incident histories, and mitigation tracking, designed for ongoing internal analytical use.
GeoStory / GeoConsult / GeoPartner · $2,500 to $25,000
Published pricing for wildfire risk assessment
Community wildfire StoryMaps typically run $2,500 to $7,500. Utility dashboards and geodatabase design run $5,000 to $15,000. Ongoing wildfire program partnerships run $10,000 to $25,000 per month under GeoPartner.
Wildfire Risk Assessment: FAQ
Do you build the underlying fuel and fire spread models?
No. We work with fuel and fire spread modeling outputs produced by USFS, state forestry programs, and fire consulting firms. We translate those outputs into communication and decision deliverables.
Can you support utility wildfire mitigation programs?
Yes. We build infrastructure exposure dashboards, vegetation management tracking, and Public Safety Power Shutoff documentation tied to authoritative risk layers.
How long does a wildfire risk StoryMap take?
Community StoryMaps typically complete in four to eight weeks. Utility dashboards and geodatabases run six to twelve weeks depending on data integration scope.
How much does wildfire risk assessment cost?
GeoStory StoryMaps run $2,500 to $7,500. GeoConsult dashboards and geodatabase work runs $5,000 to $15,000. Ongoing programs run $10,000 to $25,000 per month under GeoPartner.
Can you integrate insurance carrier or homeowner-facing risk data?
Yes. We build outputs tuned for insurance underwriting context, homeowner mitigation guidance, and broker communication when the underlying data and licensing allow.
Do you work with tribal or federal wildfire programs?
Yes. Tribal forestry programs and federal wildfire support work falls inside our scope. We frame engagement around capability, not employer history.
Book a discovery call to scope your wildfire risk project. We will confirm audience, data sources, deliverable format, and a fixed price.
Free 30-minute call. We will discuss scope, source data, and whether GeoLever is the right fit.