Dr. Elmar Schmaltz, BSc MSc



Schmaltz, E., Tang, Y., Feng, F., Zhao, Z., & Glade, T. (2018). Regional scale slope stability modelling by means of subsequent and probabilistic parameter testing. Manuskript zur Veröffentlichung eingereicht.


Post, D., Schmaltz, E., Glade, T., & Gärtner, H. (2017). Are hardwood species sensitive for reconstructing landslide movements?. EGU General Assembly 2017, Vienna, Österreich.


Schmaltz, E., Van Beek, R., Bogaard, T., Steger, S., Glade, T., Mikoš, M. (Hrsg.), Vilímek, V. (Hrsg.), Yin, Y., & Sassa, K. (2017). Integration of Geometrical Root System Approximations in Hydromechanical Slope Stability Modelling. 301-308.

Schmaltz, E., Steger, S., Bogaard, T., Van Beek, R., & Glade, T. (2017). Investigating the performance of LiDAR-derived biomass information in hydromechanic slope stability modelling. Postersitzung präsentiert bei EGU General Assembly 2017, Vienna, Österreich.



Schmaltz, E., Steger, S., Bell, R., Glade, T., van Beek, R., Bogaard, T., Wang, D., Hollaus, M., & Pfeifer, N. (2016). Evaluation of shallow landslides in the Northern Walgau (Austria) using morphometric analysis techniques. in L. Picarelli, R. Greco, & G. Urciuoli (Hrsg.), FOURTH ITALIAN WORKSHOP ON LANDSLIDES (S. 177-184). ELSEVIER SCIENCE BV. Procedia Earth and Planetary Science, Band. 16 https://doi.org/10.1016/j.proeps.2016.10.019

Schmaltz, E., Steger, S., Bell, R., Glade, T., Van Beek, R., Bogaard, T., Wang, D., Hollaus, M., & Pfeifer, N. (2016). Exploring possibilities of including detailed ALS derived biomass information into physically-based slope stability models at regional scale. in Landslides and Engineered Slopes. Experience, Theory and Practice (Band 3, S. 1807-1815). Taylor and Francis Inc..




Schmaltz, E. (2014). Natural dam lakes from Cuejdiu watershed (Stanisoarei Mts.) – non-invasive methods used for bathymetric maps. in Water resources and wetlands. Conference proceedings of the 2nd International Conference, Tulcea (Romania)


Schmaltz, E. (2014). The integration of landscape processes in archaeological site prediction in the Mugello basin (Tuscany/Italy). in 21st Century Archaeology. Proceedings of the 41th Annual Conference on Computer Applications and Quantitative Methods in Archaeology, Paris (France)

Institut für Geographie und Regionalforschung

Universitätsstraße 7 (NIG)
1010 Wien

elmar.schmaltz@univie.ac.at