Books and Papers
Harmonization of environmental monitoring. Tools for examination of methodical comparability and spatial representativity.
2003
Gate to Environmental and Health Sciences, July 2003, pp. 1 - 13
Repräsentanz und Vergleichbarkeit von Daten und Flächen der Bodendauerbeobachtung.
2003
Journal of Plant Nutrition and Soil Science, 166, pp. 649 - 659
Spatial analysis of moss monitoring data by means of geostatistical methods.
2003
Proceedings of the 3rd International Workshop on Biomonitoring of Atmospheric Pollution, Bled, Slovenia, Sept. 21 -25, 2003, pp. 106.1-106.13
Presentations
Statistical Analyses of Metal Bioaccumulation Data by Use of Location Describing Metadata
August 2007
Royal Geographical Society RGS-IBG Annual International Conference, London
Mapping the Carbon Fixation in German Forests by Geostatistics and Tree-based Models
August 2007
56th Session of the International Statistical Institute (ISI) , Lissabon
Metal Bioaccumulation in Germany. Network Optimisation and Statistical Evaluation
August 2007
56th Session of the International Statistical Institute (ISI), Lissabon
Statistical Classification of Terrestrial and Marine Ecosystems for Environmental Planning
Mai 2007
EcoSummit2007, Beijing, China
Malaria tertiana Transmission in Lower Saxony due to Climate Change?
Mai 2007
EcoSummit2007, Beijing, China
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
