Dissemination

Reference projects (contributions)

  • 4D Forest moisture mapping based on multi-temporal earth observation signatures (4D-FORMAT)
  • Shallow erosion dynamics in mountain grasslands of South Tyrol: Monitoring, process analysis and mitigation measures (ERODYN)
  • OPEn-air laboRAtories for Nature baseD solUtions to Manage environmental risks (OPERANDUM)

 

Scientific output

2019

Bremer, M., Rutzinger, M. & Kollert, A. (2019): Stand scale reconstruction of architectural tree models from unmanned aerial vehicle laser scanning (ULS) data. In: Geophysical Research Abstracts. Vol. 21(EGU2019-10292), pp. abstract.

Bremer, M., Wichmann, V., Rutzinger, M., Zieher, T. & Pfeiffer, J. (2019): Simulating unmanned-aerial-vehicle based laser scanning data for efficient mission planplan in complex terrain. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Enschede, The Netherlands, pp. 943-950.

Mayr, A., Bremer, M., Rutzinger, M. & Geitner, C. (2019): Unmanned aerial vehicle laser scanning for erosion monitoring in alpine grassland. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2/W5, pp. 405-412.

Glira, P., Pfeifer, N., & Mandlburger, G. (2019). Hybrid orientation of airborne lidar point clouds and aerial images. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences. Vol. IV-2/W5, pp. 567-574.

Pfeiffer, J., Zieher, T., Rutzinger, M., Bremer, M. & Wichmann, V. (2019): Comparision and time-series analysis of landslide displacement mapped by airborne, terrestrial and unnmanned aerial vehicle based platforms. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2/W5, pp. 421-428.

Zieher, T., Bremer, M., Rutzinger, M., Pfeiffer, J., Fritzmann, P. & Wichmann, V. (2019): Assessment of Landslide-induced displacement and deformation aof above-ground objects using uav-borne and airbonre laser scanning data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2/W5, pp. 461-467.

2018

Cramer, M., Haala, N., Laupheimer, D., Mandlburger, G., & Havel, P. (2018). Ultra-high precision uav-based lidar and dense image matching. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XLII-1, pp. 115-120.

 

Media response

Die Digitalsierung der Landschaft – Zukunft Forscht (10/2020)

Die Vermessung der Welt per Drohne – Newsroom Universität Innsbruck (9.10.2019)