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


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), [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. [119497]. https://doi.org/10.1016/j.foreco.2021.119497
Loubota Panzou, G. J., Fayolle, A., Jucker, T., Phillips, O. L., Bohlman, S., Banin, L. F., Lewis, S. L., Affum-Baffoe, K., Alves, L. F., Antin, C., Arets, E., Arroyo, L., Baker, T. R., Barbier, N., Beeckman, H., Berger, U., Bocko, Y. E., Bongers, F., Bowers, S., ... Feldpausch, T. R. (2021). Pantropical variability in tree crown allometry. Global ecology and biogeography, 30(2), 459-475. https://doi.org/10.1111/geb.13231
Schlund, M., Kukunda, C. B., Baumann, S., Wessel, B., Kiefl, N., & Poncet, F. V. (2020). 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
Schlund, M., Erasmi, S., & Scipal, K. (2020). Comparison of aboveground biomass estimation from InSAR and LiDAR canopy height models in tropical forests. IEEE geoscience and remote sensing letters, 17(3), 367-371. [8764606]. https://doi.org/10.1109/LGRS.2019.2925901
Wedeux, B., Dalponte, M. , Schlund, M., Hagen, S., Cochrane, M., Graham, L., Usup, A., Thomas, A., & Coomes, D. (2020). Dynamics of a human-modified tropical peat swamp forest revealed by repeat lidar surveys. Global change biology, 26(7), 3947-3964. https://doi.org/10.1111/gcb.15108
Schlund, M., Magdon, P., Eaton, B., Aumann, C., & Erasmi, S. (2019). Canopy height estimation with TanDEM-X in temperate and boreal forests. International Journal of Applied Earth Observation and Geoinformation, (82), 1-13. https://doi.org/10.1016/j.jag.2019.101904

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Affiliated Study Programmes


Courses Academic Year  2021/2022

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  2020/2021

Contact Details

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75)
Hengelosestraat 99
7514AE  Enschede
The Netherlands

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Mailing Address

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