Books and Papers
Assessment of metal accumulation in mosses by combining metadata, statistics and GIS.
2006
Nova Hedwigia 82 (3-4), pp. 447 - 466
Identifying and closing gaps in environmental monitoring by means of metadata, ecoregionalisation and geostatistics. The Unesco biosphere reserve Rhön (Germany) as an example.
2006
Environmental Monitoring and Assessment 114 (1 - 3), pp. 461 - 488
Identifying and closing gaps in environmental monitoring by means of metadata, ecoregionalisation and geostatistics. The UNESCO biosphere reserve Rhön (Germany) as an example.
2006
Environmental Monitoring and Assessment 114 (1-3), pp. 461 - 488
Integrative exposure assessment through classification and regression trees on bioaccumulation of metals, related sampling site characteristics and ecoregions.
2006
Ecological Informatics 1 (1), pp. 55 - 65
Mosses as bioindicators for metal accumulation: Statistical aggregation of measurement data to exposure indices.
2006
Ecological Indicators 6,pp. 137-152
Presentations
Predictive Marine Habitat Mapping by Means of GIS, Geostatistical Methods and Classification and Regression Trees
Juni 2005
BMBF-Abschlussymposium Förderschwerpunkt Geotechnologien im Rahmen der GI-Tage 2005, Westfälische Wilhelms-Universität Münster
Marine Habitat Mapping within the German EEZ by Means of GIS, Geostatistics and Classification and Regression Trees
Juni 2005
Meeting of the Working Group on Marine Habitat Mapping (WGMHM), Alfred-Wegener-Institut Bremerhaven
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
