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
- Walter-Großmann-Preis für Corinna Harmening
- Mit Smartphones Hungersnöte vermeiden
- Measuring prehistory with "smart geology"
- LaserScanning bei neugier!wissen!schaft
- Best Paper Award for Fogliaroni and Bauer-Marschallinger
- C. Pfurtscheller, M. Vetter:
Assessing entrepreneurial and regional-economic flood impacts on a globalized production facility
Journal of Flood Risk Management, 8 (2015), 329 - 342.
- D. Nguyen, K. Clauss, S. Cao, C Künzer, W. Wagner:
Mapping Rice Seasonality in the Mekong Delta with Multi-Year Envisat ASAR WSM Data
Remote Sensing, 7 (2015), 12; 15868 - 15893. [ More information ]
- B. Widhalm, A. Bartsch, B. Heim:
A novel approach for the characterization of tundra wetland regions with C-band SAR satellite data
International Journal of Remote Sensing, 36 (2015), 22; 5537 - 5556. [ More information ]
- C. Pratola, B. Barrett, A. Gruber, Ned Dwyer:
Quality Assessment of the CCI ECV Soil Moisture Product Using ENVISAT ASAR Wide Swath Data over Spain, Ireland and Finland
Remote Sensing, 7 (2015), 11; 15388 - 15423. [ More information ]
- A. Gruber, W. Crow, W. Dorigo, W. Wagner:
The potential of 2D Kalman filtering for soil moisture data assimilation
Remote Sensing of Environment, 171 (2015), 137 - 148.