We combine artificial intelligence, UAV (drones) and decision support systems to create more transparency in forest fires.
KIWA, "KI-basierte Waldüberwachung" (AI-based forest monitoring) offers users the ability to detect forest fires in the monitored catchment area at an early stage and coordinate local response teams based on real-time data.
We combine artificial intelligence, Unmanned Aerial Vehicles and decision support systems to bring more transparency to preventing and controlling forest fires.
Fighting forest fires requires a high deployment of manpower as well as equipment. Existing resources should be used effectively to fight fires and prevent them from spreading.
Forest fires can spread quickly. Real-time information about the location of the fire and the direction of propagation - and speed - is particularly important.
How accurate are forest fire risk predictions using artificial intelligence, remote sensing data and climate models?
How effective are drones at monitoring and mapping areas affected by wildfires?
How well can decision support systems help improve response to wildfire threats?