Climate Risk›Fire Risk

Wildfire Risk
Intelligence

NASA VIIRS satellite imagery combined with machine learning to predict wildfire ignition at 500m resolution - linking fire risk directly to physical assets across South Africa.

NASA VIIRSML Ignition Models500m ResolutionWind OptimisationClimate Scenarios
Capabilities

Fire Risk Capabilities

Satellite-driven, ML-powered fire risk modelling from ignition prediction through to asset exposure.

Ignition Prediction

Machine learning models trained on NASA VIIRS satellite fire detection data predict wildfire ignition probability at 500m resolution.
  • NASA VIIRS satellite data
  • ML ignition modelling
  • 500m spatial resolution
  • Historical validation

Precision Clustering

Advanced spatial clustering algorithms identify high-risk ignition zones and propagation corridors across the landscape.
  • Spatial clustering algorithms
  • High-risk zone identification
  • Propagation corridor mapping
  • Severity classification

Wind Optimisation

Wind speed and direction data integrated into fire spread models to assess directional risk and asset exposure downwind of ignition sources.
  • Wind speed integration
  • Directional spread modelling
  • Asset exposure assessment
  • Downwind risk corridors

Asset Linkage

Fire ignition probability and severity data are directly linked to physical assets - properties, infrastructure and land parcels.
  • Property-level risk scores
  • Infrastructure exposure
  • Land parcel linkage
  • Portfolio aggregation

Climate Scenario Analysis

Future fire risk projections under different climate scenarios to support long-term underwriting, planning and portfolio stress-testing.
  • Future scenario projections
  • Climate pathway integration
  • Portfolio stress testing
  • Long-term risk trends
National Coverage

Fire Risk Severity Across South Africa

Historical fire ignition data from NASA VIIRS satellite detections visualised at national scale - darker red indicates higher fire risk severity and ignition frequency.

Fire risk severity map of South Africa
Who It's For

Who Uses Fire Risk Data?

Wildfire ignition and severity intelligence for the organisations that underwrite, lend against, plan for and respond to fire.

Short-term Insurers

Wildfire risk scoring for property underwriting in fire-prone regions, including thatch roof risk assessment.

Reinsurers

Aggregate portfolio exposure to catastrophic wildfire events, particularly in the Cape Winelands and Garden Route.

Government

Fire hazard management, early warning systems and land-use planning in wildland-urban interface zones.

Property Developers

Site-level fire risk assessment for development feasibility and compliance with building regulations.
See it in Action

Riskscape Fire Risk Model - Live Demo

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Assess wildfire exposure across your portfolio

API access and bulk data delivery available. Contact our team to discuss integration options.

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