Ongoing Theses

Deep learning-based, hybrid, uncertainty aware modelling of the coupled water and carbon cycle using Earth observations

Deep Learning for multi-modal characterization of spatio-temporal Earth system dynamics on multiple spatial scales

Societal attention to extreme weather events

Inter-annual variability in terrestrial ecosystem fluxes

Impacts of extreme weather events across scales and domains

Effects of elevated CO₂ on soil organic matter turnover and nutrient uptake, Institute for Geography, University of Jena

Integrating Remote Sensing and Modeling approaches to Assess Carbon Dynamics of a Fertilized Tree-Grass Ecosystem

Hybrid machine-learning based modelling of biosphere-atmosphere interactions

Environmental controls of ecosystem turnover times

Understanding relationship between ecosystems multifunctionality with climate, vegetation properties and biodiversity

Biogeochemical insights from multi-tracer atmospheric flask data

Using Flora Incognita plant observation data and applying deep learning for phenological modeling

Deep learning species classification using morphological and genetic data

Ecohydrology from space

Carbon-water interactions across scales

Internally-driven versus externally forced components of the global C cycle

Ecological process understanding across time scales

Forest disturbance classification using deep learning approaches

Modelling the role of soil moisture dynamics on soil organic matter decomposition

Atmosphere interactions in seasonally dry systems using lysimeter data

Downscaled Predictions of Climatic Extreme Events

Deep learning approaches for analyzing spatio-temporal memory effects in Earth System data

Exploring the potential of vegetation information for improving weather forecasts

Machine-learning based estimation of ecosystem CO₂ fluxes constrained by atmospheric and ecosystem observations

Global Vegetation Dynamics

Memory effects of climate extremes on ecosystems

Plant water use across the globe

How do plant-physiological effects of increasing CO₂ influence the land-atmosphere fluxes of carbon and water?

Land management for ecosystem resilience