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.
hidden, but needed
hidden, but needed
- C. Papagiannopoulou, D. Miralles, S. Decubber, M. Demuzere, N. Verhoest, W. Dorigo, W. Waegeman:
A non-linear Granger-causality framework to investigate climate-vegetation dynamics
Geoscientific Model Development, 10 (2017), 1945 - 1960.
- B. Martens, D. Miralles, H. Lievens, R. van der Schalie, R. De Jeu, D. Fernandez-Prieto, H. Beck, W. Dorigo, N. Verhoest:
GLEAM v3: satellite-based land evaporation and root-zone soil moisture
Geoscientific Model Development, 10 (2017), 1903 - 1925.
- C. Kasse, R. Van Balen, S. Bohncke, J. Wallinga, M. Vreugdenhil:
Climate and base-level controlled fluvial system change and incision during the last glacial-interglacial transition, Roer river, the Netherlands - western Germany
Netherlands Journal of Geosciences, 96 (2017), 2; 71 - 92.
- A. Zlinszky, E. Boergens, P. Glira, N. Pfeifer:
Airborne Laser Scanning for calibration and validation of inshore satellite altimetry: A proof of concept
Remote Sensing of Environment, 197 (2017), 35 - 42.
- S. Hahn, C. Reimer, M. Vreugdenhil, T. Melzer, W. Wagner:
Dynamic Characterization of the Incidence Angle Dependence of Backscatter Using Metop ASCAT
IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 10 (2017), 5; 2348 - 2359.