Welcome to the Remote Sensing and Spatial Modelling Research Group
© Hanna Meyer

About us

The Research Group of "Remote Sensing and Spatial Modelling" is part of the Institute of Landscape Ecology (ILOEK) [en] of the University of Münster. We study and teach the acquisition and analysis of spatio-temporal environmental 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 environmental 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 [en] and has the aim to contribute to an increase in knowledge in ecosystem research via satellite data processing, modelling and simulation.

Photos

Presentation of the course projects
Presentation of the course projects
© Hanna Meyer
  • 1st place: Rieke Boelsen & Anna Böttger: Glacier retreat in the Ötztal Alps
    © Rieke Boelsen & Anna Böttger
  • 2nd place: Franziska Wolf & Maya Aschenbach: Dynamics in the Wadden Sea - development of the outer sand "Norderoogsand"
    © Franziska Wolf & Maya Aschenbach
  • 3rd place: Ferdinand Schicke & Andreas Struffert-Froböse: New Administrative Capital - An analysis of the rapid growth of a new capital for Egypt in the middle of the desert.
    © Ferdinand Schicke & Andreas Struffert-Froböse
  • 4th place: Konstantin Helder & Vincent Flemming: Pine Gulch Fire (Colorado, USA – 2020)
    © Konstantin Helder & Vincent Flemming
  • 5th place: Nikolas Lefering: The eruption of Tajogaite on La Palma (2021)
    © Nikolas Lefering
  • 6th place: Denise Betha und Nicolas Nierling: Influence of bark beetles on the coniferous stands of the Middle Harz
    © Denise Betha & Nicolas Nierling
  • Presentation of the course projects
    © Hanna Meyer
  • Presentation of the course projects
    © Hanna Meyer

Winners of poster prizes in the bachelor course "Introduction to Remote Sensing"

As part of the course "Introduction to Remote Sensing" for landscape ecologists and geoinformaticians, the presentation of the course projects took place. We were impressed by the diversity and quality of the projects!

Winners of the poster award this year are:

1st place: Rieke Boelsen & Anna Böttger: Glacier retreat in the Ötztal Alps

2nd place: Franziska Wolf & Maya Aschenbach: Dynamics in the Wadden Sea - development of the outer sand "Norderoogsand"

3rd place: Ferdinand Schicke & Andreas Struffert-Froböse: New Administrative Capital - An analysis of the rapid growth of a new capital for Egypt in the middle of the desert.

4th place: Konstantin Helder & Vincent Flemming: Pine Gulch Fire (Colorado, USA – 2020)

5th place: Nikolas Lefering: The eruption of Tajogaite on La Palma (2021)

6th place: Denise Betha und Nicolas Nierling: Influence of bark beetles on the coniferous stands of the Middle Harz

© ZEVEDI

ZEVEDI Podcast "Machine learning in environmental monitoring" mit Hanna Meyer

Hanna gave an interview in the Podcast of the "Zentrum verantwortungsbewusste Digitalisierung" (ZEVEDI) in March 2023 about AI in environmental remote sensing. Listen to the Interview here.

© Candy Fahrenholz

Drone mission in Namibia for vulture conservation

Our master student Candy Fahrenholz was working in the Kuzikus Wildlife Reserve in Namibia as part of her master thesis. One focus of her research was to survey the small-scale landscape structures using drone-based remote sensing. With the help of this high-resolution image data, the research question "Which environmental parameters affect nest tree selection of endangered vulture species in Namibia?" will be answered.

Marvin Ludwig after the successful defense of his thesis
© Marvin Ludwig

Congratulations!!!

Marvin Ludwig successfully defended his dissertation on 10.02.2023 and was awarded a doctorate in natural sciences. The title of the thesis is: „Remote sensing and machine learning for multi-scale ecosystem monitoring”. Congratulations from your working group!

© Marvin Ludwig

New Publication in Global Ecology and Biogeography

Global-scale maps of the environment are an important source of information for researchers and decision makers. Often, these maps are created by training machine learning algorithms on field-sampled reference data using remote sensing information as predictors. Since field samples are often sparse and clustered in geographic space, model prediction requires a transfer of the trained model to regions where no reference data are available. However, recent studies question the feasibility of predictions far beyond the location of training data. Here, we propose a novel workflow for spatial predictive mapping that leverages recent developments in this field and combines them in innovative ways with the aim of improved model transferability and performance assessment. We demonstrate, evaluate and discuss the workflow with data from recently published global environmental maps. The publication can be found here: Ludwig, M., Moreno-Martinez, A., Hölzel, N., Pebesma, E., Meyer, H. (2023): Assessing and improving the transferability of current global spatial prediction models. Global Ecology and Biogeography.

More News...

Older news can be found in the archive [en] of the Remote Sensing and Spatial Modelling Research Group.