Prof. Dr. rer. nat. habil. Roland Pesch

Prof. Dr. rer. nat. habil. Roland Pesch

Mitglied Institutsvorstand
Professur Grundlagen und Anwendungen von Geoinformationssystemen
E-Mail E-Mail
Room ZSG 106

Books and Papers

Harmonization of environmental monitoring. Tools for examination of methodical comparability and spatial representativity.

2003
Schröder, W. Schmidt, G. Pesch, R.
Gate to Environmental and Health Sciences, July 2003, pp. 1 - 13

Repräsentanz und Vergleichbarkeit von Daten und Flächen der Bodendauerbeobachtung.

2003
Schröder, W. Schmidt, G. Pesch, R.
Journal of Plant Nutrition and Soil Science, 166, pp. 649 - 659

Spatial analysis of moss monitoring data by means of geostatistical methods.

2003
Pesch, R. Schröder, W.
Proceedings of the 3rd International Workshop on Biomonitoring of Atmospheric Pollution, Bled, Slovenia, Sept. 21 -25, 2003, pp. 106.1-106.13

Presentations

Metal Bioaccumulation in Germany. Network Optimisation and Statistical Evaluation

August 2007
Schröder, W. Pesch, R. Kleppin, L. Englert, C.
56th Session of the International Statistical Institute (ISI), Lissabon

Spatial and Temporal Analysis of Metal Specific Bioaccumulation Data

Mai 2007
Schröder, W. Pesch, R.
EcoSummit2007, Beijing, China

Statistical Classification of Terrestrial and Marine Ecosystems for Environmental Planning

Mai 2007
Schröder, W. Pesch, R.
EcoSummit2007, Beijing, China

Malaria tertiana Transmission in Lower Saxony due to Climate Change?

Mai 2007
Schröder, W. Pesch, R. Schmidt, G.
EcoSummit2007, Beijing, China

The WebGIS ‘MossMet’

Mai 2007
Schröder, W. Pesch, R. Kleppin, L.
EcoSummit2007, Beijing, China

Projects

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... more

Bachelor & Master Theses

BIM-GIS-Kopplung anhand eines QGIS-Plugins als Grundlage für energetische Gebäudesimulationen

2022/10
Supervisors

Prof. Dr. Roland Pesch

Prof. Anja Willmann

SOS: Lärmbelastung an Oldenburgs Straßen ? Prototypischer Einsatz von Schallsensoren an ESP32-Mikrocomputern, geostatistische Analyse der Messwerte per IPDW und Bereitstellung des Verfahrens und der Daten auf Basis von OGC-konformen WPS und SOS.

2022/4
Supervisors

Dr. Christian Aden

Prof. Dr. Roland Pesch

BIM und GIS als Grundlage für energetische Simulationen

2022/4
Supervisors

Prof. Dr. Roland Pesch

Prof. Sebastian Hollermann