Spatial Data Analytics – AI-driven Probability Maps

In the field of environmental monitoring, artificial intelligence (AI) coupled with probability maps emerges as a powerful tool for comprehensively understanding and managing ecological systems. By harnessing machine learning algorithms, intricate patterns within environmental datasets can be discerned with unprecedented accuracy. Based on this understanding, probability maps can be calculated to offer valuable insights into the likelihood of various environmental events. These maps serve as crucial decision-making aids for policymakers, conservationists, and researchers alike, enabling proactive measures to mitigate ecological threats and promote sustainable practices.

Schedule:

• 14:45 – 14:55 – Intro and introductions (Dr. László István Etesi – FHNW)
• 14:55 – 15:30 – Probability Maps: Current research & applications in the field of environmental monitoring
• 15:30 – 16:00 – Break
• 16:00 – 16:30 – Indicate challenges around robust multi-sensor & multi-scale data integration and harmonization 
• 16:30 – 17:00 – Discussion on ideas which can be further evaluated in the frame of the Innovation Booster