Books and Papers
Integrative monitoring analysis aiming at the detection of spatial and temporal trends of metal accumulation in mosses.
2004
Journal of Atmospheric Chemistry 49, pp. 23-38
Metal accumulation in mosses. Spatial analysis and indicator building by means of GIS, geostatistics and cluster techniques.
2004
Environmental Monitoring and Assessment 98/1-3, pp. 131-156
Soil monitoring in Germany. Spatial representativity and methodical comparability
2004
Journal of Soils and Sediments 4 (1), pp. 49 - 58
The 1990, 1995 and 2000 moss monitoring data in Germany and other European countries. Trends and statistical aggregation of metal accumulation indicators.
2004
Gate to Environmental and Health Sciences, June 2004, pp. 1 - 25
Presentations
Progress in biotope mapping of reef structures in the North Sea and the Baltic Sea
September 2018
5th International Conference Progress in Marine Conservation 2018, - 25 years after Rio - reflections on past development and looking ahead, Stralsund, Germany
Flächendeckende Modellierung des § 30-Biotops „Artenreiche Kies- Grobsand- und Schillgründe“ im Borkum-Riffgrund und Sylter Außenriff
April 2018
BfN-Abteilung Meeresnaturschutz KoordinatorInnentreffen
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
