Presentation

Schmaltz, E. et al. (2015): Evaluation of slow moving landslides in the Northern Walgau (Austria) using morphometric analysis techniques. – The 4th Italian Workshop on Landslides, Naples (Italy). - Oral

Wang, D. et al. (2015): Tree stem shapes derived from TLS data as an indicator for shallow landslides. – The 4th Italian Workshop on Landslides, Naples (Italy). - Oral

Schmaltz, E. et al. (2016): A conceptual approach to approximate tree root architecture in infinite slope models. - EGU General Assembly 2016, Vienna (Austria). - Oral & Poster

Wang, D. et al. (2016): Retrieval of Stem Curve Using UAV LiDAR. – The 3rd EARSeL SIG Forestry Workshop, Krakow (Poland). - Oral & Poster

Wang, D. et al. (2017): The potential of UAV laser scanning in forest inventories. – EGU General Assembly 2017, Vienna (Austria). - Oral 

Schmaltz, E. et al. (2017): Computational slope stability experiments implementing root system morphology in a generic hillslope environment. - EGU General Assembly 2017, Vienna (Austria). - Poster

Schmaltz, E. et al. (2017): Investigating the performance of LiDAR-derived biomass information in hydromechanic slope stability modelling. - EGU General Assembly 2017, Vienna (Austria). - Poster

Peer-reviewed

Schmaltz, E., Steger, S., Bell, R., Glade, T., van Beek, R., Bogaard, T., Wang, D., Hollaus, M. and Pfeifer, N., 2016. Evaluation of Shallow Landslides in the Northern Walgau (Austria) Using Morphometric Analysis Techniques. Procedia Earth and Planetary Science, 16, pp.177-184.

Wang, D., Hollaus, M., Schmaltz, E., Wieser, M., Reifeltshammer, D. and Pfeifer, N., 2016. Tree Stem Shapes Derived from TLS Data as an Indicator for Shallow Landslides. Procedia Earth and Planetary Science, 16, pp.185-194.

Wang, D., Hollaus, M., Puttonen, E., & Pfeifer, N. (2016). Fast and Robust Stem Reconstruction in Complex Environments Using Terrestrial Laser ScanningISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 411-417.

Wang, D., Hollaus, M., Puttonen, E., Pfeifer, N. (2016). Automatic and Self-adaptive Stem Reconstruction in Landslide-affected Forests. Remote Sensing, 8(12), 974.

Wang, D., kankare, V., Puttonen, E., Hollaus, M., Pfeifer, N. (2017). Reconstructing stem cross section shapes from terrestrial laser scanning. IEEE Geoscience and Remote Sensing Letter, 14(2), pp.272-276.

Schmaltz, E., Steger, S., Glade, T. (2017). The influence of forest cover on landslide occurrence explored with spatio-temporal information. Geomorphology. [In Press, Accepted Manuscript. Available online.]

Book Chapter

Schmaltz, E., Steger, S., Bell, R., Glade, T., van Beek, L. P. H., 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: 1807-1815