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.

搜集汇总

背景与挑战

背景概述

该数据集通过整合卫星探测、气象条件等多源数据，提供全球统一的野火实时监测、4周风险预测、30年历史档案及气候基线信息，包含火辐射功率、燃烧面积等关键字段。它支持保险建模、应急响应等应用场景，并在Databricks平台上实现即用式集成与分析优化。