Münster as seen from Sentinel-2
© Hanna Meyer

to the Remote Sensing and Spatial Modelling Research Group

The Research Group of "Remote Sensing and Spatial Modelling" is part of the Institute of Landscape Ecology (ILÖK) of the University of Münster. We study and teach the acquisition and analysis of spatio-temporal enviromental dynamics in a board spectrum of landscape-ecological topics. We combine multi-scale remote sensing data with methods of spatial modelling in order to obtain continuous spatio-temporal information from limited ecological field samples.
The complexity of enviromental systems requires the use of modelling strategies that take complex relationships into account. For this reason, we focus on the application of machine learning methods. In addition to their application for research questions in the context of landscape ecology, we also develop new modelling strategies for spatial and spatio-temporal data. Thus, the research group is at the interface between Geoinformatics and Landscape Ecology und and has the aim to contribute to an increase in knowledge in ecosystem research via satellite data processing, modelling and simulation.


Coronavirus and courses

Due to the corona situation, our teaching in the coming semester will mainly take place online. Our courses start in the week from April 20th via video meeting at the indicated course time. Information about the dial-in options will be made available to you via the Learnweb. You will also get further information on the Learnweb for your specific courses.

If you registered for a course from our team, you should already be automatically enrolled in the Learnweb courses. If this is not the case, or if you dind't register for the course yet, please contact the course administration soon!

We are currently mainly working from home. But you can always reach us via email.


Welcome Julia and Henning

© Jan Lehmann

We are happy to welcome Julia Binder and Henning M. Schneidereit, who will support us as student assistants in teaching and research.


WingtraOne over the Ems riparian

© Jan Lehmann

Within the scope of the exercise "Acquisition and analysis of drone based image data" and a bachelor thesis we have acquired a section of the renaturalized Ems floodplains with the WingtraOne drone. The data (RGB and multispectral) will be evaluated with regard to disturbances and structural mosaics caused by large herbivores. The acquisition is of interest because there is a correlation between exposed soil and the occurrence of soil-nesting insects.


Visiting scientist from Prag

© Eva Filipczykova

Eva is a PhD student at Czech University of Life Sciences in Prague, Czech Republic and a new intern at Institute of Landscape Ecology. Eva's PhD project focuses on studying scent marking of Andean bears and its implications for conservation of the species. The main goal of Eva's internship is to analyze and model habitat and terrain characteristics of Andean bear scent marking using the combination of statistical and spatial analysis. We are looking forward to support her with the data analysis.


UAV-M² Workshop in Münster

© AG Fernerkundung

From February 27th to 28th we organized a joint workshop on UAV based remote sensing, together with the University of Marburg. The 15 participants came from the research group of Environmental Informatics in Marburg, as well as IfGI's Spatio-Temporal Modelling Lab and our working group for Remote Sensing and Spatial Modelling. During the two days we've had a lot of exchanges about application possibilities, sensors, software, different analysis methods including deep learning methods as well as teaching activities.

It was an inspiring exchange from which diverse ideas for follow-up activities emerged. Thanks to all participants and we are looking forward to the next joint event in summer!

New DJI P4 multispectral drone for teaching

© Jan Lehmann

We are happy about the latest workgroup member, a DJI P4 Multispectral drone with RTK unit. The new drone is to be used in our courses, so that the students can be trained on a highly modern and widespread system. We are looking forward to exciting days in the field and interesting data.

Workshop on Machine Learning in Earth system science

We participated in the Helmholtz AI Cooperation Unit (HAICU) Workshop on Machine Learning in Earth system science that has taken place from 3.-4. February at the German Climate Computing Center (Deutsches Klimarechenzentrum, DKRZ) in Hamburg. It was two days of inspiring discussions and exchange and we’re now looking forward to expand our research focus on the use of AI in Earth observation with new ideas and contacts.

Special Issue on Machine Learning Methods for Environmental Monitoring


As Guest Editor we publish a special edition in MDPI Remote Sensing on the topic "Machine Learning Methods for Environmental Monitoring".
More information is available at mdpi.com/si/40565 and submissions are possible until 28 January 2021.

© Marwan Katurji

On January 23rd, Maite presented her PhD topic in the AG LÖK colloquium. She wants to model the influence of climate change on the terrestrial ecology of the Antarctic Dry Valleys. At the time she's working on a downscaling algorithm for land surface temperature (LST): Using a machine learning model, a 30m resolution LST product can be calculated from 1000m resolution MODIS LST scenes. The model is based on data from two satellite sensors (Landsat 8 and MODIS), as well as terrain variables.

We are looking for a student assistant

We are looking for a student assistant (SHB) with 8 hours/week to support the AG in research, teaching and management.

The tasks include the processing and preparation of remote sensing data within the scope of various projects. In addition, the position offers the opportunity to participate in the development of research ideas and data analysis in the field of remote sensing. Support for student projects in B.Sc teaching is also planned. Field work, e.g. in the context of UAS surveys, is possible.

Prerequisites are basic knowledge in the field of spatial data processing and remote sensing, as well as experience with R. In addition, independent work and problem solving is required, as well as interest in contributing to the establishment of the new working group.

If you are interested, please send a short application to Hanna Meyer by 31.01.2020.
If you have any questions, please do not hesitate to contact us!

Courses in the summer term 2020

Registration for our course in the coming summer semester is now open.
An overview of the current courses can be found here.

Remote Sensing and Spatial Modelling at the ILÖK

© Jan Lehmann

Since October 2019 we are a new research group for remote sensing and spatial modelling at the Institute for Landscape Ecology. We are looking forward to many exiting projects in research and teaching.