Schlaffer, Stefan

Univ.Lektor Dipl.-Geoökol. Univ. Dr.rer.nat.

Research Division:
Remote Sensing
PostDoc Researcher


Stefan Schlaffer received the Diplom in Geoecology from University of Bayreuth (Germany) in 2007 and the Dr. rer. nat. (PhD) in Remote Sensing from TU Wien (Austria) in 2017. From 2008 to 2010, he worked as a hydrological modeller at Dr.-Ing. Karl Ludwig Wasserwirtschaft-Wasserbau GmbH in Karlsruhe (Germany) on flood forecasting.

Between 2010 and 2015, he was a research assistant at the GEO department of TU Wien working on automatic delineation of flooded areas from SAR data. In 2015, he received a Marietta Blau scholarship to carry out a research stay in the framework of his PhD at Luxembourg Institute of Science and Technology (LIST). From 2017 to 2018, he was an integrated expert on capacity building in GIS and remote sensing at the Acopian Center for the Environment of the American University of Armenia (AUA) in collaboration with the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ). From 2018 to 2019, he worked as a Research Assistant at the German Aerospace Center (DLR) in Oberpfaffenhofen (Germany) on operational flood mapping from SAR sensors, such as Sentinel-1 and TerraSAR-X.

Since December 2019, he is with the CLIMERS group at TU Wien. His research interests include the retrieval of hydrological variables such as surface water dynamics and soil moisture from earth observation data and their application in hydrology and vegetation studies.


Currently in open discussion:

Schlaffer, S., Chini, M., Dorigo, W., and Plank, S.: Monitoring Surface Water Dynamics in the Prairie Pothole Region Using Dual-Polarised Sentinel-1 SAR Time Series, Hydrol. Earth Syst. Sci. Discuss. [preprint],, in review, 2021.

For a complete list of publications please see my Researchgate profile

Brill, F., Schlaffer, S., Martinis, S., Schröter, K., Kreibich, H. (2021) Extrapolating Satellite-Based Flood Masks by One-Class Classification—A Test Case in Houston. Remote Sensing, 13(11), 2042.

Zappa, L., Schlaffer, S., Bauer-Marschallinger, B., Nendel, C., Zimmermann, B., Dorigo, W. (2021) Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture. Remote Sensing, 13(9), 1727.

Bruggisser, M., Dorigo, W., Dostálová, A., Hollaus, M., Navacchi, C., Schlaffer, S., Pfeifer, N. (2021) Potential of Sentinel-1 C-Band Time Series to Derive Structural Parameters of Temperate Deciduous Forests. Remote Sensing, 13(4), 798.

Li, Y., Martinis, S., Wieland, M., Schlaffer, S., Natsuaki, R. (2019) Urban Flood Mapping Using SAR Intensity and Interferometric Coherence via Bayesian Network Fusion. Remote Sensing, 11, 2231.

Lindenschmidt K-E, Carstensen D, Fröhlich W, Hentschel B, Iwicki S, Kögel M, Kubicki M, Kundzewicz ZW, Lauschke C, Łazarów A, Łoś H, Marszelewski W, Niedzielski T, Nowak M, Pawłowski B, Roers M, Schlaffer S, Weintrit B. (2019) Development of an Ice Jam Flood Forecasting System for the Lower Oder River—Requirements for Real-Time Predictions of Water, Ice and Sediment Transport. Water, 11(1):95.

Bechtold, M., Schlaffer, S., Tiemeyer, B., De Lannoy, G. (2018) Inferring Water Table Depth Dynamics from ENVISAT-ASAR C-Band Backscatter over a Range of Peatlands from Deeply-Drained to Natural Conditions. Remote Sens. 2018, 10, 536.

Schlaffer, S., Chini, M., Giustarini, L., Matgen, P. (2017) Probabilistic mapping of flood-induced backscatter changes in SAR time series. Int. J. Appl. Earth Obs. Geoinf. 56, 77–87.

Schlaffer, S., Chini, M., Dettmering, D., Wagner, W. (2016) Mapping Wetlands in Zambia Using Seasonal Backscatter Signatures Derived from ENVISAT ASAR Time Series. Remote Sensing 8, 402.

Giustarini, L., Hostache, R., Kavetski, D., Chini, M., Corato, G., Schlaffer, S., Matgen, P. (2016) Probabilistic Flood Mapping Using Synthetic Aperture Radar Data. IEEE Trans. Geosci. Remote Sens. 54, 6958–6969.

Schlaffer, S., Matgen, P., Hollaus, M., Wagner, W. (2015) Flood detection from multi-temporal SAR data using harmonic analysis and change detection. Int. J. Appl. Earth Obs. Geoinf. 38, 15–24.

Munier, S., Aires, F., Schlaffer, S., Prigent, C., Papa, F., Maisongrande, P., Pan, M. (2014) Combining data sets of satellite-retrieved products for basin-scale water balance study: 2. Evaluation on the Mississippi Basin and closure correction model. J. Geophys. Res. 119, 12,100-12,116.

Bartsch, A., Trofaier, A.M., Hayman, G., Sabel, D., Schlaffer, S., Clark, D.B., Blyth, E. (2012) Detection of open water dynamics with ENVISAT ASAR in support of land surface modelling at high latitudes. Biogeosciences 9, 703–714.

Reschke, J., Bartsch, A., Schlaffer, S., Schepaschenko, D. (2012) Capability of C-Band SAR for Operational Wetland Monitoring at High Latitudes. Remote Sens. 4, 2923–2943.

Wimmer, F., Schlaffer, S., aus der Beek, T., Menzel, L. (2009) Distributed modelling of climate change impacts on snow sublimation in Northern Mongolia. Adv. Geosci. 21, 117–124.


Type Title Semester Hours
PR Bachelor Thesis for Environmental Engineering 2021W 10.0