Welcome to the GEO Department of TU Wien
Geodesy and Geoinformation take on key roles in our modern society as provider of information about geographical locations, environmental processes, physical fundamentals and are pivotal in enabling access to social relevant spatial data. Since its early days in the 19th century, the Vienna University of Technology hosts scientists and engineers undertaking geospatial data research. Today, a multitude of research fields in the evolving domain of geodesy and geoinformation is in the scope of our academic institution. The Department of Geodesy and Geoinformation, which is part of the Faculty of Mathematics and Geoinformation, unites the seven research groups Advanced Geodesy, Cartography, Engineering Geodesy, Geoinformation, Geophysics, Photogrammetry and Remote Sensing and conducts research as well as teaching in modelling and communicating states and processes of planet Earth and objects in, upon and above it.
- Galaabend Technik und Lange Nacht der Forschung
- Erster Sentinel-Satellit gestartet – liefert Daten für TU Wien
- Recent activities to inform young people about our studies
- TV Interview regarding the missing Malaysian airplane
- GEO at the world’s largest fossil oyster reef
- A. Muñoz, J. Barichivich, D. Christie, W. Dorigo, D. Sauchyn, Á. González-Reyes, R. Villalba, A. Lara, N. Riquelme, M. González:
Patterns and drivers of Araucaria araucana forest growth along a biophysical gradient in the northern Patagonian Andes: Linking tree rings with satellite observations of soil moisture
Austral Ecology, 39 (2014), 2; 158 - 169. [ More information ]
- J. Van doninck, W. Wagner, T. Melzer, B. De Baets, N. Verhoest:
Seasonality in the Angular Dependence of ASAR Wide Swath Backscatter
IEEE Geoscience And Remote Sensing Letters, 11 (2014), 8; 1423 - 1427. [ More information ]
- S. Schneider, Y. Wang, W. Wagner, J. Mahfouf:
Impact of ASCAT Soil Moisture Assimilation on Regional Precipitation Forecasts: A Case Study for Austria
Monthly Weather Review, 142 (2014), 4; 1525 - 1541.
- F. Greifeneder, W. Wagner, D. Sabel, V. Naeimi:
Suitability of SAR imagery for automatic flood mapping in the Lower Mekong Basin
International Journal of Remote Sensing, 35 (2014), 8; 2857 - 2874.
- H. Dorn, M. Vetter, B. Höfle:
GIS-Based Roughness Derivation for Flood Simulations: A Comparison of Orthophotos, LiDAR and Crowdsourced Geodata
Remote Sensing, 6 (2014), 2; 1739 - 1759. [ More information ]