Understand wildfire hazard, fire weather and exposure across landscapes and communities
Geoneon combines spatial evidence about vegetation, terrain, fire weather and assets to understand where wildfire conditions and exposure are concentrated and support preparedness and prioritisation before events occur.
Understand the landscape, fire-weather conditions and what is exposed
Geoneon applies spatial analysis across wildfire questions to help organisations understand landscape hazard, examine fire-weather conditions, identify exposed communities and assets, and support preparedness or mitigation.
Understand where landscape conditions contribute to wildfire hazard
Combine vegetation and fuel information, terrain and other spatial evidence to understand how underlying wildfire hazard varies across a landscape.
Typical uses
Wildfire hazard mapping · fuel and vegetation context · terrain analysis · comparing locations or scenarios
Understand how fire-weather conditions vary across locations and through time
Use fire-weather and climate indicators to understand how conditions associated with wildfire potential vary spatially, seasonally or across different climate periods.
This is planning and analytical context, not live operational forecasting.
Typical uses
Fire-weather patterns · FWI analysis · seasonal or climate comparison · scenario analysis
Identify which communities, assets and infrastructure are more exposed
Combine wildfire hazard and fire-weather context with buildings, infrastructure, roads, utilities or other assets to understand where exposure is concentrated and compare locations consistently.
Typical uses
Community exposure · infrastructure and asset exposure · corridor or network analysis · portfolio screening
Project-specific analysis, not one fixed model
The approach is configured around the wildfire question, geography, assets and level of evidence required. Depending on the project, this may combine Earth observation, vegetation or fuel information, terrain, historical fire data, fire-weather and climate indicators, buildings and infrastructure, vulnerability indicators and spatial modelling.
Geoneon Wildfire is designed primarily for planning, preparedness and prioritisation before events; it should not be presented as a live warning, ignition prediction or operational fire-spread forecasting system unless a specific project genuinely provides that capability.
Wildfire analysis across communities and infrastructure
Public projects show how spatial wildfire evidence can support preparedness and prioritisation across communities, buildings and infrastructure.
More than 94,000 buildings across 132 Greater Hobart suburbs were assessed, with 4,225 buildings — 4.5% — classified from Moderately High to Extremely High bushfire exposure in the 2024 assessment.
Read case study
A nationwide assessment analysed more than 400,000 buildings and identified 24,221 — 5.9% of buildings assessed — classified from Relatively High to Extremely High forest fire exposure.
Read case studyHave a wildfire exposure or preparedness question?
Tell us which places, communities or assets you need to understand. We can help define an appropriate wildfire hazard, fire-weather and exposure analysis.