Protect Baltic: Protection and restoration measures for a resilient Baltic Sea ecosystem
2023-2028
Prof. Dr. rer. nat. habil. Roland Pesch
Mitglied Institutsvorstand
Professur Grundlagen und Anwendungen von Geoinformationssystemen
mail:
tel: +49 (0) 441 - 7708 - 3248
room: ZSG 106
Professur Grundlagen und Anwendungen von Geoinformationssystemen
mail:
tel: +49 (0) 441 - 7708 - 3248
room: ZSG 106
Books and Papers
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2024
Boltersdorf, S.H.; Pesch, R.; Werner, W. (2014):
Comparative use of lichens, mosses and tree bark to evaluate nitrogen deposition in Germany. Environmental Pollution; 189:43-53
Schröder, W.; Pesch, R.; Schönrock, S.; Harmens, H.; Mills, G.; Fagerli, H. (2014):
Correlations between nitrogen concentrations in atmospheric deposition and mosses mapped for natural landscapes in Europe. Proceedings 27th Task Force Meeting ICP Vegetation, 28-30 January, Paris:46
Kluge, M.; Pesch, R.; Schröder, W.; Hoffmann, A. (2014):
Differences in concentration of nitrogen in mosses due to canopy drip effects - Case study Germany. Proceedings 27th Task Force Meeting ICP Vegetation, 28-30 January, Paris:36
Beisiegel, K.; Bildstein, T.; Darr, A.; Fiorentino, D.; Gogina, M.; Günther, C.-P.; Pesch, R.; Propp, C.; Rückert, P.; Schiele, K.; Schröder, W.; Schuchardt, B.; Zeiler, M.; Zettler, M. (2014):
Kartierung und Registrierung der marinen Lebensraumtypen (LRT) bzw. Biotope in der Ausschließlichen Wirtschaftszone (AWZ) (Cluster 6). (Cluster 6) Synthesebericht 2014: 1-558
Nickel, S.; Hertel, A.; Pesch, R.; Schröder, W.; Steinnes, E.; Uggerud, H.T. (2014):
Modelling and mapping spatio-temporal trends of heavy metal accumulation in moss and natural surface soil monitored 1990-2010 throughout Norway by multivariate generalized linear models and geostatistics. Atmospheric Environment 99:85-93
Presentations
Sauerbier, V. ; Lenzi, J.
; Leiz, M.
; Pesch, R.
:
A Python-based ensemble machine learning framework for predicting benthic species distributions in the Baltic Sea.
Working Group of Marine Habitat Mapping - WGMHM, International Council for the Exploration of the Seas - ICES,
November 2025
Ghavimi, A.
; Pesch, R.
:
Leveraging GIS in Citizen Science for Urban Design: Advancing Social Sustainability.
Urban Planning & Architectural Design for Sustainable Development (UPADSD) – 10 Edition,
Oktober 2025
Ghavimi, A.
; Pesch, R.
:
A GIS-Based Method for Evaluating Public Green Spaces (PGS) with Emphasis on Recreational Value.
21st international conference Geoinformation and Cartography,
September 2025
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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. Tog... more
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 &#... more
people
Prof. Dr. Thomas Brinkhoff (head) Prof. Dr. Roland Pesch (head) Prof. Dr. Frank Schüssler (head) Tobias Werner (10.2022-) Jonas Schoo (06.2022-) Maren Leiz (08.2022-) Dr. Amirmohammad Ghavimi (08.2022-)
Prof. Dr. Thomas Brinkhoff (head) Prof. Dr. Roland Pesch (head) Prof. Dr. Frank Schüssler (head) Tobias Werner (10.2022-) Jonas Schoo (06.2022-) Maren Leiz (08.2022-) Dr. Amirmohammad Ghavimi (08.2022-)
Bachelor & Master Theses
Entwicklung einer GIS-basierten teilautomatisierten Datenüberprüfung zur Dokumentation des FTTH-Ausbaus der EWE NETZ für die Glasfaser NordWest (2021/8)
cooperation
Prädiktive Modellierung des Vorkommens von Lanice conchilega im Schleswig-Holsteinischen Wattenmeer auf Basis von Sidescan-Mosaiken und maschinellen Lernverfahren (2021/8)
cooperation
Automatisierung der Glasfaserausbaulänge im Bereich der Neubaugebiete anhand des Programmtools ArcGIS (2021/8)
Feasibility study for (semi-)automatic detection of red deer from RGB aerial images using OpenCV without training data (2021/7)
Markttransparenz am Mietmarkt -Konzept am Beispiel der Stadt Emden (2021/5)