Books and Papers
Das GIS als Methode der Rekonstruktion geologischer Entwicklungen. Beispiel Sylt / Deutsche Bucht
2001
Meyniana 53, S. 5- 30
Presentations
Mapping of Biotopes in the German EEZ of the North Sea Status report May 2016
Mai 2016
Meeting of the Working Group on Marine Habitat Mapping, Winchester, UK
Short introduction to HELCOM Underwater Biotope and Habitat classification system (HUB)
Mai 2016
Meeting of the Working Group on Marine Habitat Mapping, Winchester, UK
Predictive Modelling of Red List biotopes as a basis for marine nature conservation in the North Sea
April 2016
34th Annual Conference for the Working Group ´Geography of Seas and Coasts’ (AMK), Leibniz Institute for Baltic Sea Research, Warnemünde
Biotope modelling in German offshore waters (EEZ of Baltic and North Sea) at different spatial scales
November 2015
Workshop on marine biotope mapping for conservation purposes" 30th Nov until 2nd Dec 2015 on the Isle of Vilm, Germany
Predictive Mapping of Benthic Communities and Species in the German North Sea
September 2015
ASC 2015 - ICES Annual Science Conference, Kopenhagen, Dänemark
Projects
Funded by
Europäische Union (EU)
Given the EU Biodiversity Strategy 2030, Protect Baltic aims to evaluate and optimise the existing network of marine protected areas in the Baltic Sea and thus makes a positive contribution to biodiversity and the protection of marine ecosystems. Together with other institutes th...
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Funded by
Niedersächsisches Vorab
Transformation and structural change in rural areas mean changes in space and time. Such spatiotemporal data is to be managed and processed by our “Geo-Toolbox”. It uses digital technologies such as databases and geographic information systems (GIS) for tasks of the e...
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Bachelor & Master Theses
Flächenhafte Modellierung der Verbreitung ausgewählter Seevögel in der Ostsee mittels maschineller Lernverfahren
2026/3
Ableitung eines Modells zur flurstücksscharfen Hochrechnung von Hochwasserschäden aus Jahrhunderthochwasser und Extremhochwasser
2026/2
Cooperation
Katasteramt Lingen
Bodenschätzung mit KI - Machbarkeitsstudie zum Einsatz automatisierter Verfahren zur Verbesserung der Bodenschätzung in der Flurbereinigung
2026/2
Cooperation
Regionaldirektion Lüneburg
