Magnus Bremer
Dipl.-Geogr. Magnus Bremer, PhD
T +43 512 507 49410
Arbeitsschwerpunkte
Geoinformatics, Remote Sensing of the Environment, LiDAR, 4D modelling and Reconstruction
Ausgewählte Publikationen
2020
2020
- . (2020). Quantifying the influence of low vegetation on vertical uncertainties of 3D point clouds derived from UAV-based ground surface measurements. Geophysical Research Abstracts. https://doi.org/10.5194/egusphere-egu2020-20468
- . (2020). Training in innovative technologies for close-range sensing in Alpine terrain - 3rd edition. Isprs Archives Of The Photogrammetry, Remote Sensing And Spatial Information Sciences, XLIII-B5-2020, 243-250. https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-243-2020
- . (2020). Close-range sensing and object-based analysis of shallow landslides and erosion in grasslands. Geophysical Research Abstracts. https://doi.org/10.5194/egusphere-egu2020-19847
2019
2019
- . (2019). Assessment of Landslide-induced displacement and deformation of above-ground objects using uav-borne and airborne laser scanning data. Isprs Annals Of The Photogrammetry, Remote Sensing And Spatial Information Sciences, IV-2/W5, 461-467. https://doi.org/10.5194/isprs-annals-IV-2-W5-461-2019
- . (2019). Unmanned aerial vehicle laser scanning for erosion monitoring in alpine grassland. (G. Vosselman, Oude Elberink, S. J., & Yang, M. Y., Eds.), ISPRS Geospatial Week 2019. https://doi.org/10.5194/isprs-annals-IV-2-W5-405-2019
- . (2019). Comparison and time-series analysis of landslide displacement mapped by airborne, terrestrial and unnmanned aerial vehicle based platforms. (G. Vosselman, Oude Elberink, S. J., & Yang, M. Y., Eds.), ISPRS Geospatial Week 2019. https://doi.org/10.5194/isprs-annals-IV-2-W5-421-2019
- . (2019). Einsatzmöglichkeiten von Geoinformationssystemen in der Siedlungswasserwirtschaft am Beispiel Einbindung dezentraler Entwässerungssysteme zur Entlastung des städtischen Abwassernetzes. Österreichische Wasser- Und Abfallwirtschaft, 7/8, 1-11. https://doi.org/10.1007/s00506-019-0581-1
- . (2019). Simulating unmanned-aerial-vehicle based laser scanning data for efficient mission planplan in complex terrain. (G. Vosselman, Oude Elberink, S. J., & Yang, M. Y., Eds.), ISPRS Geospatial Week 2019. https://doi.org/10.5194/isprs-archives-XLII-2-W13-943-2019
- . (2019). Stand scale reconstruction of architectural tree models from unmanned aerial vehicle laser scanning (ULS) data. Geophysical Research Abstracts. Retrieved de https://meetingorganizer.copernicus.org/EGU2019/EGU2019-10292.pdf
- . (2019). Automated Area-Wide Tree Species Mapping Based on Sentinel-2 Imagery: Influence of Topography and Forest Structure on Classification Quality.
- . (2019). Sensing mountains - digitizing landscapes for environmental monitoring. (M. Rutzinger & Heinrich, K., Eds., A. P. Fischer H., Tran.), Close Range Sensing Techniques in Alpine Terrain. Proceedings of the Innsbruck Summer School of Alpine Research 2019, 16.-22.6.2019 in Obergurgl, Austria. Verlag der Österreichischen Akademie der Wissenschaften. https://doi.org/10.1553/IGF-8
2018
2018
- . (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
- . (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
- . (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
- . (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
- . (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
- . (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
- . (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
- . (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
- . (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
- . (2017). Analyse der räumlichen und zeitlichen Phänologie der Lärche. In Innsbrucker Geographische Gesellschaft (Ed.), Innsbrucker Geographische Gesellschaft: Innsbrucker Jahresbericht 2016-2017 (pp. 29-42).
- . (2017). Laserscanning am Institut für Geographie - ein Überblick. In Innsbrucker Geographische Gesellschaft (Ed.), Innsbrucker Geographische Gesellschaft: Innsbrucker Jahresbericht 2016-2017 (pp. 5-27).