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). Extending the integrated monitoring of deep-seated landslide activity into the past – preliminary results of the project EMOD-SLAP. (Disaster Competence Center Austria (DCNA), Ed.), Proceedings of the Disaster Research Days 2020.
- . (2020). 3D point errors and change detection accuracy of unmanned aerial vehicle laser scanning data. Isprs Annals Of The Photogrammetry, Remote Sensing And Spatial Information Sciencesisprs Annals Of The Photogrammetry, Remote Sensing And Spatial Information Sciences, 765–772. https://doi.org/10.5194/isprs-annals-V-2-2020-765-2020
- . (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). 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). 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).