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Geodätische Kolloquium WS 2025/2026

The land surface plays a central role in shaping weather and climate extremes. Through evapotranspiration, soil moisture, and vegetation dynamics, the land both influences and responds to atmospheric variability. Yet many of these feedbacks remain poorly understood, limiting our ability to predict extreme events. In this talk, I will show how we can move from pixels to processes: using remote sensing, in-situ networks, machine learning and physical model to diagnose land–atmosphere feedbacks across scales. I will highlight advances in understanding droughts and vegetation stress, and discuss how Earth observation can help improve models and resilience in a changing climate.

Artificial Intelligence is driving a new era in geodetic Earth monitoring and is set to play a central role in its future. With growing data volumes and evolving algorithms, AI offers powerful tools to extract signals from large and diverse geodetic datasets. This talk will explore how AI enhances geodetic observations and predictions, with examples ranging from atmospheric sensing using GNSS to modeling terrestrial water storage from satellite gravimetry, including probabilistic machine learning approaches for uncertainty quantification.

Geodätische Kolloquium WS 2025/2026