Earth Observation and Modelling

Prof. Dr. Natascha Oppelt

Professur für Physische Geographie
Direktorin des Instituts für Geographie
Leitung Klima- und Hydrogeographie

Tel.: 0431 880 3330

Christian-Albrechts-Universität zu Kiel
Geographisches Institut

Raum 508
Ludewig-Meyn-Straße 14
24098 Kiel

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Natascha Oppelt received her MS in Physical Geography from the University of Munich in 1998, specialising in airborne videography. On graduation, she spent time studying mesoscale soil moisture patterns using radar data. After her PhD in the field of airborne imaging spectroscopy she worked at the Dept. for Earth and Environmental Sciences of the University of Munich. During her postdoc time she specialized in multi-angular remote sensing and the combination of physical based model approaches with remote sensing data. Additionally, she worked as the general manager of a spin-off company of the University. Since 2008, she is professor at Kiel University (Germany) and is head of the "Remote Sensing and Environmental Modelling" group.

Her main research interests are in the development of methods for process-oriented and spatially differentiated environmental observation with the aid of various measurement techniques to analyse changes in the environment at various scales across the globe. She offers strong expertise in land use/land cover monitoring and analysis including natural and agricultural land use systems in Europe, Latin America and Southeast-Asia. Her research projects show a strong focus on fusion of different, active and passive sensors and multi-temporal analysis of image data for environmental analysis of agricultural systems, land surface processes and landscape development, ecology and ecosystem services, and aquatic ecosystems. She and her group is also involved in a number of projects focusing on the processing and analysis of remote sensing data to support a sustainable land and coastal zone management. In this context, she is developing remote sensing applications for optically complex, coastal and inland waters. An important aspect is in combining remote sensing data and modelling using different model approaches and ensembles including bio-optical modelling of aquatic environments for monitoring water quality and, in shallow waters, bathymetry and benthic vegetation of inland and coastal waters; recent research activities also include monitoring of Arctic sea ice due to climate change.