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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2020
2021
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2023
2024
Pesch, R.; Schröder, W. (2006):
Assessment of metal accumulation in mosses by combining metadata, statistics and GIS.. Nova Hedwigia 82 (3-4), pp. 447 - 466
Schröder, W.; Pesch, R.; Schmidt, G. (2006):
Identifying and closing gaps in environmental monitoring by means of metadata, ecoregionalisation and geostatistics. The Unesco biosphere reserve Rhön (Germany) as an example.. Environmental Monitoring and Assessment 114 (1 - 3), pp. 461 - 488
Schröder, W.; Pesch, R.; Schmidt, G. (2006):
Identifying and closing gaps in environmental monitoring by means of metadata, ecoregionalisation and geostatistics. The UNESCO biosphere reserve Rhön (Germany) as an example.. Environmental Monitoring and Assessment 114 (1-3), pp. 461 - 488
Pesch, R.; Schröder, W. (2006):
Integrative exposure assessment through classification and regression trees on bioaccumulation of metals, related sampling site characteristics and ecoregions.. Ecological Informatics 1 (1), pp. 55 - 65
Pesch, R.; Schröder, W. (2006):
Mosses as bioindicators for metal accumulation: Statistical aggregation of measurement data to exposure indices.. Ecological Indicators 6,pp. 137-152
Presentations
Pesch, R.
; Schröder, W. :
Prädiktive CARTierung benthischer Habitate .
Symposium Geoinformationen für die Küstenzone, Hafenuniversität Hamburg,,
November 2006
Aden, C. ; Kleppin, L. ; Pesch, R.
; Schröder, W. :
Strukturen und Funktionen des WebGIS `Moosmonitoring´ .
51. Tagung des AK Bioindikation / Wirkungsermittlung am 9. und 10. November 2006 in Langen,
November 2006
Pesch, R.
; Schröder , W. :
Germany´s Heavy Metals in Mosses Surveys: A Review of 15 Years of Bioaccumulation Monitoring .
National Atmospheric Deposition Programme (NADP), Norfolk Virginia,
Oktober 2006
Pesch, R.
; Schröder, W. :
Statistical and Geoinformatical Instruments for the Optimization of the German Moss-Monitoring-Network .
EnvironInfo 2006, Graz,
September 2006
Pesch, R.
; Schröder, W. :
Germany‘s Heavy Metals in Mosses Surveys. Rückblick auf 15 Jahre UNECE-Moos-Monitoring in Deutschland.
5. Koordinierungstreffen der National Focus Center (NFC) der UNECE ICP, Neuschönau,
Juli 2006
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)