Short-Term Fire Hazard

OroraTech’s Short-Term Fire Hazard is the newest addition to their wildfire management product portfolio, strengthening early preparedness by identifying areas of elevated fire hazard days in advance. It uses real wildfire observations combined with environmental data to deliver daily updated hazard maps. The product offers a 7-day outlook with daily updated wildfire hazard maps, providing visibility into elevated risk up to seven days in advance. Hazard estimates are informed by real wildfire observations and environmental context, delivering more spatially granular insights than weather-only indicators. Built to support planning, prioritization, and preventive action, it turns hazard forecasts into practical input for day-to-day wildfire operations. The model learns from global satellite-detected fire activity, enriched with weather, vegetation, and terrain data, allowing it to estimate where wildfire hazard is most likely to increase in the near future. It is built on millions of satellite-detected wildfire observations from over 35 satellite sources, including more than 10 of OroraTech’s own thermal infrared sensors, ensuring consistent, global fire intelligence based on real ignition events. Environmental context from weather models, vegetation indices, and terrain data provides the necessary information to assess wildfire behavior, capturing local fuel conditions, dryness, and topographic effects. OroraTech’s proprietary machine-learning model is trained on real wildfire observations and environmental data to learn patterns that precede fire ignitions, enabling estimation of near-term wildfire hazard beyond static, rule-based indicators. Short-Term Fire Hazard is fully integrated into the OroraTech Wildfire Solution, an end-to-end platform for wildfire detection, monitoring, forecasting, and preparedness.