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
A Python-based ensemble machine learning framework for predicting benthic species distributions in the Baltic Sea
November 2025
Working Group of Marine Habitat Mapping - WGMHM, International Council for the Exploration of the Seas - ICES
Leveraging GIS in Citizen Science for Urban Design: Advancing Social Sustainability
Oktober 2025
Urban Planning & Architectural Design for Sustainable Development (UPADSD) – 10 Edition
A GIS-Based Method for Evaluating Public Green Spaces (PGS) with Emphasis on Recreational Value
September 2025
21st international conference Geoinformation and Cartography
Work package 3: Spatial Modelling
September 2025
Protect Baltic Annual Meeting 2025
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
