Artificial intelligence should soon make it possible to detect forest fire hazards earlier than before and to fight forest fires more effectively. This is the goal of the joint project "AI-based Forest Monitoring - Artificial Intelligence for Early Detection of Forest Fire Events (KIWA)", in which the University of Bayreuth is participating with its research competencies in biogeography and disturbance ecology. The German Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (BMUV) is funding the project for the next two years with a volume of around 1.8 million euros.
BayCEER Colloquium: |
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Th. 2024-04-25 now Perspectives and challenges in the restoration and conservation of two isolated habitats: gypsum and cliffs |
BayCEER Short Courses: |
Fr. 2024-04-26 Mobile Film Making Workshop (for students of BayCEER) |
Ecological-Botanical Garden: |
Fr. 2024-04-26 Aktion | Kräuterreich & regional: Backkunst im ÖBG (zus. mit HWK) |
Fr. 2024-04-26 Führung | Erdbeer-Minze und Zimmerknoblauch: Gewürzkräuter |
Su. 2024-04-28 Führung | Den Sängern auf der Spur: Vogelstimmen im ÖBG (zus. mit LBV) |