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 TU Wien 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 divisions Higher Geodesy, Cartography, Engineering Geodesy, Geoinformation, Geophysics, Photogrammetry and Remote Sensing (consisting of two research groups: Microwave Remote Sensing and Climate and Environmental 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.
Latest News
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PhD defense Schwarz
June 15, 2021 -
Remote Sensing at TU Wien ranks 37th in @ShanghaiRanking 2021
May 27, 2021 -
ORF reports on new geodetic survey of the USA driven by expected socio-economic benefits
May 17, 2021 -
Email news subscription service will be retired
April 15, 2021 -
Jetzt zum Geotag anmelden!
March 19, 2021 -
Heinrich-Wild-Preis 2020 für Elisabeth Ötsch
March 11, 2021 -
Wolfgang Wagners BeSt-digital-Vortrag zum Nachschauen: Klima und Geoinformation
March 8, 2021
Latest Publications
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A. Gonsamo, P. Ciais, D. Miralles, S. Sitch, W. Dorigo, D. Lombardozzi, P. Friedlingstein, J. Nabel, D. Goll, M. O´Sullivan, A. Arneth, P. Anthoni, A. Jain, A. Wiltshire, P. Peylin, A. Cescatti:
Greening drylands despite warming consistent with carbon dioxide fertilization effect
Global Change Biology, 27 (2021), 14; 3336 - 3349. [ More information ] -
I. Teubner, M. Forkel, B. Wild, L. Mösinger, W. Dorigo:
Impact of temperature and water availability on microwave-derived gross primary production
Biogeosciences, 18 (2021), 11; 3285 - 3308. [ More information ] -
F. Greifeneder, C. Notarnicola, W. Wagner:
A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine
Remote Sensing, 13 (2021), 11; 2099-1 - 2099-21. [ More information ] -
R. Mansberger, G. Navratil, E. Unger, T. Bauer:
Unterrichten an einer äthiopischen Universität: Ein Erfahrungsbericht
Österreichische Zeitschrift für Vermessung und Geoinformation (VGI), 109. Jahrgang (2021), 1; 3 - 18. [ More information ] -
F. Brill, S. Schlaffer, S. Martinis, K. Schröter, H. Kreibich:
Extrapolating Satellite-Based Flood Masks by One-Class Classification-A Test Case in Houston
Remote Sensing, 13 (2021), 11; 2042-1 - 2042-24. [ More information ]