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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Boedeker, D.; Pesch, R.; Schröder, W.; Propp, C.; Zeiler, M.; Fiorentino, D.; Schuchardt, B.; Beisiegel, K.; Gogina, M.; Zettler, M. (2013):
Mapping and Registration of marine Biotopes in the German Exclusive Economic Zone (EEZ). Abstract for Mapping Atlantic Area Seabed Habitats for Better Marine Management: University of Aveiro, Portugal, 15-17 September 2013
Schröder, W.; Pesch, R. (2013):
Messnetze. . Schröder, W.; Fränzle, O.; Müller, F. (Hrsg.): Handbuch der Umweltwissenschaften. Grundlagen und Anwendungen der Ökosystemforschung. Kap. V-1.5. 22. Erg.Lfg., Wiley-VCH, Weinheim, 21 S.
Presentations
Pesch, R.
; Boedeker, D. ; Bildstein, T. ; Günther, C. ; Schuchardt, B. :
Short introduction to HELCOM Underwater Biotope and Habitat classification system (HUB).
Meeting of the Working Group on Marine Habitat Mapping, Winchester, UK,
Mai 2016
Pesch, R.
; Bildstein, T. ; Schuchardt, B. ; Günther, C. :
Predictive Modelling of Red List biotopes as a basis for marine nature conservation in the North Sea.
34th Annual Conference for the Working Group ´Geography of Seas and Coasts’ (AMK), Leibniz Institute for Baltic Sea Research, Warnemünde,
April 2016
Pesch, R.
; Bildstein, T. ; Fiorentino, D. ; Günther, C. ; Schuchardt, B. ; Beisiegel, K. ; Darr, A. ; Zettler, M. ; Tauber, F. ; Schiele, K. :
Biotope modelling in German offshore waters (EEZ of Baltic and North Sea) at different spatial scales.
Workshop on marine biotope mapping for conservation purposes" 30th Nov until 2nd Dec 2015 on the Isle of Vilm, Germany,
November 2015
Pesch, R.
; Schuchardt, B. ; Günther, C. ; Fiorentino, D. ; Bildstein, T. ; Heinicke, K. ; Boedeker, D. :
Predictive Mapping of Benthic Communities and Species in the German North Sea.
ASC 2015 - ICES Annual Science Conference, Kopenhagen, Dänemark,
September 2015
Pesch, R.
; Bildstein, T. ; Fiorentino, D. ; Günther, C. ; Schuchardt, B. ; Zeiler, M. ; Propp, C. ; Lambers-Huesmann, M. ; Beisiegel, K. ; Darr, A. ; Zettler, M. ; Tauber, F. ; Schiele, K. ; Bartholomäe, A. ; Holler, P. ; Schwarzer, K. ; Richter, P. ; Hass, C. ; Papenmeier, S. :
Progress in Marine Biotope Mapping in Germany.
4th International Conference Progress in Marine Conservation in Europe (PMCE), OZEANEUM, Stralsund,
September 2015
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
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)
Analyse benthischer Lebensgemeinschaften und ihrer räumlichen Muster im Elbe- Urstromtal der Nordsee mittels maschineller Lernverfahren (2025/10)
Application of Geographic Information Systems to Analyse Landscape-Ecological Effects of Virtual Fencing in Grassland Ecosystems (2025/9)
cooperation
Ensemble Machine Learning Ansätze zur Prädiktion benthischer Arten in der Ostsee (2025/9)