Ambee Global Wildfire Data – Historical | Present | Risk Forecast | Climatology

**Overview**

Ambee’s wildfire dataset ingests and homogenizes multiple inputs, including satellite detections, reported fire events, modeled wildfire risk forecasts, fire radiative power (FRP), Fire Weather Index (FWI), fuel load, soil moisture, terrain, and weather conditions that are combined to create a globally harmonized dataset. The Wildfire dataset provides wildfire intelligence for present detections, 4-week wildfire risk forecasts, historical archives extending back three decades, and climatological baseline risk.

**Use cases**

- Insurance risk modeling and catastrophe exposure
- Utility and asset protection
- Disaster-aware logistics planning
- Emergency management and response
- Deep histories of fire activity and research

**Sample fields**

- frp: Fire radiative power (MW)
- fwi: Fire Weather Index
- fireType: Reported or detected fire
- fireCategory: Wildfire, prescribed, or normal
- areaBurnt: Total burned area (hectares)
- predicted_risk: Modeled wildfire risk level (numeric)
- predicted_risk_category: Low, Moderate, High

**Tables included**

- Wildfire_present_data
- Wildfire_forecast_risk_4week
- Wildfire_historical_data
- Wildfire_climatology

**Benefits to Databricks Marketplace users**

- Instantly available: Delivered directly for immediate integration into any Databricks workflow.
- Global coverage: Current wildfire detections and modeled risk forecasts for any geography.
- Risk forecasting: Forward-looking wildfire risk projections up to 4 weeks.
- Historical climatology: 30+ years of wildfire records, enabling model training and validation.
- Consistent schema: Unified structures across present, forecast, and historical data.
- Analytics-ready: Optimized for Databricks-native tools, including Spark and MLflow.