The department SIENA (Spatial Informatics for Environmental Applications) uncovers hidden patterns in environmental data and reconstructs missing information toenable more robust, timely, evidence-based decisions in environmental management. It leverages geoinformatics, intelligent (including AI-assisted) algorithms, and targeted use of drones as integrated tools to analyze and interpret complex ecological processes.
Key focus areas:
• Drone operations and automated, holistic risk assessmentof missions to capture hard-to-access ordynamic environmental phenomena with precisionand efficiency.
• Environmental monitoring: multi-scale Earth observationfor accurate characterization of ecologicalstates and processes.
• Spatial Data Science: application of AI and machinelearning for automated object detection, classification,and pattern recognition in environmental datato derive decision-relevant insights.
• Geoinformatics: design and implementation ofspatio-temporal information systems for analyzingspatiotemporal environmental change and for creatingdynamic, interactive visualizations.
