Books and Papers
Probenahmeplanung am Beispiel des Moosmonitoring.
2007
Wichmann, H.-E.; Schlipköter, H.-W.; Füllgraf, G. (Hrsg.): Handbuch der Umweltmedizin. - Landsberg am Lech, München, Zürich, Kap. IV-7.1, 37. Erg.Lfg., S. 30 - 31
Räumliche Differenzierung der Stickstoff-Akkumulation in Moosen.
2007
KRdL-Schriftenreihe Band 37, S. 139 - 149
Spatial and temporal analysis of metal specific bioaccumulation data
2007
Ecological complexity and sustainability. Abstracts of EcoSummit 2007, Beijing, China, p. 255
Statistical classification of terrestrial and marine ecosystems for environmental planning.
2007
Landscape Online 2, S. 1 - 22
Statistical classification of terrestrial and marine ecosystems for environmental planning.
2007
Ecological complexity and sustainability. Abstracts of Eco-Summit 2007, Beijing, China, p. 255 (ID: 199)
Presentations
Spatial Modelling of Biotopes and Species for Marine Nature Conservation and Marine Spatial Planning in the German Exclusive Economic Zone of the North Sea
November 2016
North Sea Open Conference, Oostend, Belgien
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
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
Erkennung eulitoraler Muschelbänke im Niedersächsischen Wattenmeer: Ein Vergleich von Deep-Learning-Modellen zur semantischen Segmentierung von Luftbildern
2025/10
GIS-basiertes Flächenscreening für ökologische Solarparks unter Berücksichtigung von Biotopverbundstrukturen in Niedersachsen
2025/10
