Dipl.-Geogr.

Magnus Bremer

T +43 512 507 49410

Magnus.Bremer(at)oeaw.ac.at

Key research areas


Geoinformatics, Remote Sensing of the Environment, LiDAR, 4D modelling and Reconstruction

Selected publications

2018

2018

  • Pfeiffer, J., Zieher, T., Bremer, M., Wichmann, V., & Rutzinger, M. (2018). Derivation of Three-Dimensional Displacement Vectors from Multi-Temporal Long-Range Terrestrial Laser Scanning at the Reissenschuh Landslide (Tyrol, Austria). Remote Sensing, 10, 1-19. https://doi.org/10.3390/rs10111688
  • Koma, Z., Rutzinger, M., & Bremer, M. (2018). Automated Segmentation of Leaves From Deciduous Trees in Terrestrial Laser Scanning Point Clouds. Ieee Geoscience And Remote Sensing Letters, PP, 1-5. https://doi.org/10.1109/LGRS.2018.2841429
  • Kollert, A., Rutzinger, M., Bremer, M., Hollaus, M., Pfeifer, N., Bruggisser, M., et al. (2018). Mapping Tree Species in Complex Terrain Based on Sentinel-2 Time Series. (ESA, Ed.), EO 4 ALPS. The Alps from Space Workshop. Abstract Book. 27-29 June 2018. Innsbruck. Austria. Retrieved de https://www.dropbox.com/s/jx04b8nq7fixq5b/Abstract%20Book%20v.4.pdf?dl=1
  • Rutzinger, M., Bremer, M., Höfle, B., Hämmerle, M., Lindenbergh, R., Oude Elberink, S., et al. (2018). Training in innovative technologies for close-range sensing in Alpine terrain. Isprs Annals Of The Photogrammetry, Remote Sensing And Spatial Information Sciences, IV-2, 239-246. https://doi.org/10.5194/isprs-annals-IV-2-239-2018
  • Rutzinger, M., Bremer, M., Kollert, A., Hollaus, M., Pfeifer, N., Bruggisser, M., et al. (2018). 4D Forest moisture mapping based on multi-temporal earth observation signatures (4D-FORMAT). Geophysical Research Abstracts. Retrieved de https://meetingorganizer.copernicus.org/EGU2018/EGU2018-13380.pdf
  • Rutzinger, M., Bremer, M., Kollert, A., Hollaus, M., Pfeifer, N., Bruggisser, M., et al. (2018). 4D Forest moisture mapping based on multi-temporal earth observation signatures (4D-FORMAT). Geophysical Research Abstracts. Retrieved de https://meetingorganizer.copernicus.org/EGU2018/EGU2018-13380.pdf
  • Niederheiser, R., Bremer, M., Rutzinger, M., & Wichmann, V. (2018). Dense image matching of terrestrial imagery for deriving high-resolution topographic properties of vegetation locations in alpine terrain. International Journal Of Applied Earth Observation And Geoinformation, 66, 146-158. https://doi.org/10.1016/j.jag.2017.11.011
  • Bremer, M., Wichmann, V., & Rutzinger, M. (2018). Multi-temporal fine-scale modelling of Larix decidua forest plots using terrestrial LiDAR and hemispherical photographs. Remote Sensing Of Environment, 206, 189-204. https://doi.org/10.1016/j.rse.2017.12.023

2017

2017

  • Mayr, A., Rutzinger, M., Bremer, M., Oude Elberink, S., Stumpf, F., & Geitner, C. (2017). Object-based classification of terrestrial laser scanning point clouds for landslide monitoring. Photogrammetric Record, 32, 377-397. https://doi.org/10.1111/phor.12215
  • Kollert, A., Rutzinger, M., & Bremer, M. (2017). Analyse der räumlichen und zeitlichen Phänologie der Lärche. In Innsbrucker Geographische Gesellschaft (Ed.), Innsbrucker Geographische Gesellschaft: Innsbrucker Jahresbericht 2016-2017 (pp. 29-42).
  • Stötter, J., Bremer, M., Mayr, A., Rutzinger, M., Sailer, R., & Zieher, T. (2017). Laserscanning am Institut für Geographie - ein Überblick. In Innsbrucker Geographische Gesellschaft (Ed.), Innsbrucker Geographische Gesellschaft: Innsbrucker Jahresbericht 2016-2017 (pp. 5-27).

2016

2016

2015

2015

2014

2014

2013

2013

2012

2012

2011

2011

2010

2010

2006-2009

2006-2009