Spatial-temporal scales in environmental remote sensing © M. Forkel

Studying global change with satellites

Our research focuses on the application and development of satellite data sets and derived products to observe, analyse, model and predict changes in vegetation and the related impacts on the carbon and water cycle in ecosystems. We use and develop data-driven methods such as time series analysis and machine learning as well as process-based environmental models and model-data integration techniques.

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Publications © TUD-EnvRS