Large areas of forest are destroyed by wildfires every year around the world. Current detection methods find about 60% of fires randomly without an early detection system. Automated detection systems can find fires faster and provide data to aid fire management systems. These systems use sensors, cameras, and networks to detect fires, then send location, images, and other data to control centers to help first responders locate and monitor fires. Implementation of automated wildfire detection integrated with management systems has led to decreases in burned hectares in areas that have adopted the technology.

1. Automated Wildland Fire Detection integrated in Fire Management Systems and –ProceduresPresentationby Joachim F. Dreibach forFire Watch international AG, Aarau, Switzerland

2. 2FactsEvery year forests are destroyed on a large scale• 10.000 km² in Europe • 100.000 km² in tropical/subtropical regions • Up to 100.000 km² in North-America• Several million km² of savannah > 1 million hectares destroyed every yearThis equates 150 times the size of Switzerland!copyright by J.Dreibach 10 www.fire-wach-international.com

3. Detection MethodsPhoto by: LoockoutCharles White Aercraft Surveilance Ontario Sattelite Bird by DLRUAV California Video Sensor ( Pelco) Forest Ranger Sensor and Control Office 3copyright by J.Dreibach 10 www.fire-wach-international.com

4. Detection Performance without Forest RangerOthter3%OrganizedDetection23% Random Aerial26%Random Ground 48%Worldwide, 60% of the fires are detected at random. This is a substantial argument for an installation of a reliable early detection system.Costsfordetection:Ontario: 3Mio $/ YearSesketuan: 4Mio $/YearBased on Canada Yearly analysis4copyright by J.Dreibach 09 www.fire-wach-international.com

5. Fast starting fires

6. Day and Night fires

7. Fast moving fires

8. Fast changing weather /environmental conditions

9. Difficult geographical areas ( Hills, Mountains ….)

10. No mains power available

11. Fast detection, initial attack requirement < 20minutes

12. Provide much more functionalities and data, than only detect a fire5Detectionrequirementsfor remote sensingcopyright by J.Dreibach 09 www.fire-wach-international.com

13. Color- & B/W sensing for detection

14. Black & White images for smoke identification

15. Color Information for smoke classification and monitoring

16. Day and Night Visual information

17. Weather /environmental information

18. Information about geographical areas ( Hills, Mountains, POI)

19. Position information (geo-referenced coordinates)