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
- Beginn der Lehrkanzel für Höhere Geodäsie und Sphärische Astronomie vor 150 Jahren
- Spiegel interviews Wouter Dorigo
- Ana Djuricic recieves Best Poster Award at AGILE 2016
- Angelika Xaver receives Karl Kraus Award
- Philipp Glira receives the Hansa-Luftbild-Preis
- S. Zwieback, C. Su, A. Gruber, W. Dorigo, W. Wagner:
The Impact of Quadratic Nonlinear Relations between Soil Moisture Products on Uncertainty Estimates from Triple Collocation Analysis and Two Quadratic Extensions
Journal Of Hydrometeorology, 17 (2016), 6; 1725 - 1743.
- C. Su, J. Zhang, A. Gruber, R. Parinussa, D. Ryu, W. Crow, W. Wagner:
Error decomposition of nine passive and active microwave satellite soil moisture data sets over Australia
Remote Sensing of Environment, 182 (2016), 128 - 140.
- M. Vreugdenhil, W. Dorigo, W. Wagner, R. De Jeu, S. Hahn, M. Van Marle:
Analyzing the Vegetation Parameterization in the TU-Wien ASCAT Soil Moisture Retrieval
IEEE Transactions on Geoscience and Remote Sensing, 54 (2016), 6; 3513 - 3531.
- L. Piermattei, L. Carturan, F. de Blasi, P. Tarolli, G. Dalla Fontana, A. Vettore, N. Pfeifer:
Suitability of ground-based SfM-MVS for monitoring glacial and periglacial processes
Earth Surface Dynamics, 4 (2016), 425 - 443.
- C. Ressl, H. Brockmann, G. Mandlburger, N. Pfeifer:
Dense Image Matching vs. Airborne Laser Scanning - Comparison of two methods for deriving terrain models
Photogrammetrie, Fernerkundung, Geoinformation, 2016 (2016), 2; 57 - 73.