dr. M. Schlund (Michael)

Assistant Professor

About Me

I am an Assistant Professor in the Department of Natural Resources, Faculty of Geo-information Science and Earth Observation. My research and teaching activities concentrate on the monitoring of land cover information and the estimation of biophysical parameters with active remote sensing on multiple scales. This includes the development of land cover classifications and the research on forest height as well as aboveground biomass retrieval algorithms based on interferometric SAR (Synthetic Aperture Radar) data from space and experimental airborne SAR data. I am also interested in the upscaling of quantitative information such as forest height and biomass from the field to airborne and spaceborne laser scanning and SAR data. The different retrieval algorithms are based on empirically as well as physically-based modelling and methods of data science. I am also interested in the monitoring of agricultural crops with dense time-series of active remote sensing data.

Before joining the University of Twente in 2020, I obtained a BSc, a MSc and a PhD from the University of Jena, Germany. My PhD was on the use of interferometric SAR data for land cover monitoring and aboveground biomass retrieval, and was completed in 2015. Between 2016 and 2018, I was a Post-Doctoral Research Fellow at the Mission Science Division of the European Space Agency. In addition, I was a Scientist at the University of Göttingen between 2018 and 2020.


Earth & Environmental Sciences
Aboveground Biomass
Swamp Forest
Synthetic Aperture Radar
Temperate Forest
Tropical Forest
Agriculture & Biology
Synthetic Aperture Radar


Lobert, F., Löw, J., Schwieder, M., Gocht, A. , Schlund, M., Hostert, P., & Erasmi, S. (2023). A deep learning approach for deriving winter wheat phenology from optical and SAR time series at field level. Remote sensing of environment, 298, Article 113800. https://doi.org/10.1016/j.rse.2023.113800
Schlund, M., Poncet, F. V., Wessel, B., Schweisshelm, B., & Kiefl, N. (2023). Assessment of TanDEM-X DEM 2020 data in temperate and boreal forests and their application to canopy height change. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 91, 107-123. https://doi.org/10.1007/s41064-023-00235-1
Schlund, M., Wenzel, A., Camarretta, N., Stiegler, C., & Erasmi, S. (2023). Vegetation canopy height estimation in dynamic tropical landscapes with TanDEM‐X supported by GEDI data. Methods in ecology and evolution, 14(7), 1639-1656. https://doi.org/10.1111/2041-210X.13933
Jucker, T., Fischer, F. J., Chave, J., Coomes, D. A., Caspersen, J., Ali, A., Loubota Panzou, G. J., Feldpausch, T. R., Falster, D., Usoltsev, V. A., Adu-Bredu, S., Alves, L. F., Aminpour, M., Angoboy, I. B., Anten, N. P. R., Antin, C., Askari, Y., Muñoz, R., Ayyappan, N., ... Zavala, M. A. (2022). Tallo: A global tree allometry and crown architecture database. Global change biology, 28(17), 5254-5268. https://doi.org/10.1111/gcb.16302
Camarretta, N., Ehbrecht, M., Seidel, D., Wenzel, A., Zuhdi, M., Merk, M. S. , Schlund, M., Erasmi, S., & Knohl, A. (2021). Using airborne laser scanning to characterize land-use systems in a tropical landscape based on vegetation structural metrics. Remote sensing, 13(23), Article 4794. https://doi.org/10.3390/rs13234794
Schlund, M., Lobert, F., & Erasmi, S. (2021). Potential of Sentinel-1 time series data for the estimation of season length in winter wheat phenology. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 5917-5920). IEEE. https://doi.org/10.1109/igarss47720.2021.9554454
Schlund, M., Kotowska, M. M., Brambach, F., Hein, J., Wessel, B., Camarretta, N., Silalahi, M., Surati Jaya, I. N., Erasmi, S., Leuschner, C., & Kreft, H. (2021). Spaceborne height models reveal above ground biomass changes in tropical landscapes. Forest ecology and management, 497, 1-13. Article 119497. https://doi.org/10.1016/j.foreco.2021.119497
Schlund, M., Kukunda, C. B., Baumann, S., Wessel, B., Kiefl, N., & Poncet, F. V. (2021). Potential of forest monitoring with multi-temporal TANDEM-X height models. In 2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 308-311). (IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)). IEEE. https://doi.org/10.1109/igarss39084.2020.9323862

UT Research Information System

Affiliated Study Programmes


Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses Academic Year  2022/2023

Contact Details

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1125
Hallenweg 8
7522NH  Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds  1125
P.O. Box 217
7500 AE Enschede
The Netherlands