PD Dr.

Martin Rutzinger

T +43 512 507 49480
martin.rutzinger@oeaw.ac.at

ORCID: 0000-0001-6628-4681

Arbeitsschwerpunkte


Erdbeobachtung mittels Nahbereichs- und Fernerkundung, Geoinformatik, 3D Umwelt-, Infrastruktur- und Ressourcenmonitoring, Geomorphologie, Naturgefahrenforschung, Vegetations- und forstwirtschaftliche Analysen, Landbedeckung- und Landnutzungsänderung, Mensch-Umweltsysteme, Gebirgsforschung

Ausgewählte Publikationen

2019

2019

  • Mayr, A., Rutzinger, M., & Geitner, C. (2019). Object-Based Point Cloud Analysis for Landslide and Erosion Monitoring. Photogrammetric Engineering & Remote Sensing, 85, 31-38. https://doi.org/10.14358/PERS.85.6.xxx

2018

2018

  • Darvishi, M., Schlägel, R., Kofler, C., Cuzzo, G., Rutzinger, M., Zieher, T., et al. (2018). Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy). Remote Sensing, 10, 1-19. https://doi.org/10.3390/rs10111781
  • 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
  • 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
  • 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
  • Li, J. G. (Ed.). (2017). ISPRS Geospatial Week 2017. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
  • 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).
  • Geitner, C., Gild, C., Gruber, F., Mayr, A., Neuner, S., Rutzinger, M., et al. (2017). Morphodynamik, quartäre Sedimente und Böden in den Alpen. In Innsbrucker Geographische Gesellschaft (Ed.), Innsbrucker Geographische Gesellschaft: Innsbrucker Jahresbericht 2016-2017 (pp. 43-62).
  • Zieher, T., Rutzinger, M., Schneider-Muntau, B., Perzl, F., Leidinger, D., Formayer, H., & Geitner, C. (2017). Sensitivity analysis and calibration of a dynamic physically-based slope stability model. Natural Hazards And Earth System Sciences, 17, 971-992. https://doi.org/10.5194/nhess-2017-73
  • Rutzinger, M., Zieher, T., Pfeiffer, J., Schlögel, R., Darvishi, M., Toschi, I., & Remondino, F. (2017). Evaluating synergy effects of combined close-range and remote sensing techniques for the monitoring of a deep-seated landslide (Schmirn, Austria).
  • Bremer, M., Wichmann, V., & Rutzinger, M. (2017). Calibration and Validation of a Detailed Architectural Canopy Model Reconstruction for the Simulation of Synthetic Hemispherical Images and Airborne LiDAR Data. Remote Sensing, 9, 1-22. https://doi.org/10.3390/rs9030220

2016

2016

  • Zieher, T., Markart, G., Ottowitz, D., Römer, A., Rutzinger, M., Meißl, G., & Geitner, C. (2016). Water content dynamics at plot scale - comparison of time-lapse electrical resistivity tomography monitoring and pore pressure modelling, 195-209. https://doi.org/10.1016/j.jhydrol.2016.11.019
  • Darvishi, M., Toschi, I., Remondino, F., Schlögel, R., Thiebes, B., Mejia-Aguilar, A., et al. (2016). 3D reconstruction of a large landslide from UAV-based imagery.
  • Mayr, A., Rutzinger, M., Bremer, M., Oude Elberink, S., Geitner, C., & Zieher, T. (2016). Object-based change analysis of terrestrial laser scanning point clouds for shallow landslide monitoring.
  • Kamps, M., Zieher, T., Seijmonsbergen, A. C., & Rutzinger, M. (2016). Quantifying Land Cover Change using an automated object-based workflow for the analysis of rainfall-induced shallow landslides.
  • Forster, T., Rutzinger, M., Fey, C., & Zangerl, C. (2016). Monitoring der Massenbewegung Steinlehnen (Tirol, Österreich) mittels Terrestrischem Laserscanning im Fernbereich.
  • Mayr, A., Rutzinger, M., & Geitner, C. (2016). Monitoring und Analyse flachgründiger Rutschungen mit terrestrischem Laserscanning.
  • Zieher, T., Rutzinger, M., Meißl, G., Geitner, C., Perzl, F., Markart, G., & Formayer, H. (2016). Climate induced system status changes at slopes and their impact on shallow landslide susceptibility – the C3S-ISLS Project.
  • Forster, T., Rutzinger, M., Fey, C., & Zangerl, C. (2016). Seasonal change detection of the Steinlehnen landslide by multi-temporal long-range terrestrial laser scanning (Tyrol, Austria). Retrieved de https://www.uibk.ac.at/geologie/geotirol2016-pangeo/images/abstractvolume.pdf
  • Niederheiser, R., Rutzinger, M., Lamprecht, A., Steinbauer, K., & Winkler, M. (2016). Mapping alpine vegetation location properties by dense matching. (R. S. and S. I. S. The International Archives of the Photogrammetry, Ed.). https://doi.org/10.5194/isprsarchives-XLI-B5-881-2016
  • Landmann, J., Rutzinger, M., Bremer, M., & Schmidtner, K. (2016). Comprehensive spectral signal investiation of larch trees combining ground and satellite-based measurement. https://doi.org/10.5194/isprs-archives-XLI-B7-671-2016
  • Mayr, A., Rutzinger, M., Bremer, M., & Geitner, C. (2016). Mapping eroded areas on mountain grassland with terrestrial photogrammetry and object-based image analysis. (R. S. and S. I. S. ISPRS Annals of the Photogrammetry, Ed.). https://doi.org/10.5194/isprs-annals-III-5-137-2016
  • Rutzinger, M., Höfle, B., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Sailer, R., et al. (2016). Close-range sensing techniques in Alpine terrain. (R. S. and S. I. S. ISPRS Annals of the Photogrammetry, Ed.). https://doi.org/10.5194/isprs-annals-III-6-15-2016
  • See, L. (2016). Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information, 55, 1-23. https://doi.org/ISPRS International Journal of Geo-Information
  • Thiebes, B., Tomelleri, E., Mejia-Aguilar, A., Schlögel, R., Darvishi, M., Remondino, F., et al. (2016). UAV-based landslide deformation monitoring – first results from Corvara landslide.
  • Zieher, T., Rutzinger, M., Meißl, G., Geitner, C., Perzl, F., Markart, G., & Formayer, H. (2016). Climate induced system status changes at slopes and their impact on shallow landslide susceptibility – the C3S-ISLS Project.
  • Bremer, M., Mayr, A., Wichmann, V., Rutzinger, M., & Schmidtner, K. (2016). A new multi scale 3D-GIS-approach for the assessment and dissemination of solar income of digital city models, 144-154.
  • Zieher, T., Perzl, F., Rössel, M., Rutzinger, M., Meißl, G., Markart, G., & Geitner, C. (2016). A multi-annual landslide inventory for the assessment of shallow landslide susceptibility – Two test cases in Vorarlberg, Austria. Geomorphology, 40-54.

2015

2015

  • Houbé, N., & Rutzinger, M. (2015). Spatio-temporal online data streams for analysing changes in tourism developments.
  • Niederheiser, R., Rutzinger, M., den Outer, J., & Winkler, M. (2015). Mapping vegetation location properties using a structure from motion approach.
  • Wichmann, V., Bremer, M., Lindenberger, J., Rutzinger, M., Georges, C., & Petrini-Monteferri, F. (2015). Evaluating the potential of multispectral airborne lidar for topographic mapping and land cover classification. https://doi.org/10.5194/isprsannals-II-3-W5-113-2015
  • Rutzinger, M., Bremer, M., & Schmidtner, K. (2015). Phänologie mittels Fernerkundungsmethoden erfassen und simulieren. In U. I. Institut für Geographie (Ed.) (pp. 71-80).
  • Schmidtner, K., Bremer, M., & Rutzinger, M. (2015). Decomposing multispectral forest signatures of satellite imageries by modelling radiative transfers based on structural data from terrestrial laser scanning. (EARSeL, Ed.).
  • Fey, C., Rutzinger, M., Wichmann, V., Prager, C., Bremer, M., & Zangerl, C. (2015). Deriving 3D displacement vectors from multi-temporal airborne laser scanning data for landslide activity analysis, 52, 437-461.
  • Lyon, S. W., Nathanson, M., Lam, N., Dahlke, H. E., Rutzinger, M., & Jason, W. (2015). Can low-resolution airborne laser scanning data be used to model stream rating curves?, 7, 1324-1339. https://doi.org/10.3390/w7041324
  • Spötl, C., & Rutzinger, M. (2015). Testaufnahmen mit einer Wärmebildkamera in der Hundsalm Eis- und Tropfsteinhöhle, 53, 9-13.

2014

2014

  • Pichler, M., Rutzinger, M., & Neiss, H. (2014). insightTourism - TowardsUnderstanding Online Behavior of Tourists. E-Review Of Tourism Research (Ertr), 11, 50-54.
  • Fey, C., Rutzinger, M., Bremer, M., Prager, C., & Zangerl, C. (2014). Landslide displacement vectors derived from multi-temporal topographic LiDAR data. (EGU, Ed.), Geophysical Abstracts. Retrieved de http://meetingorganizer.copernicus.org/EGU2014/EGU2014-9678.pdf
  • Gruber, F., Baruk, J., Rutzinger, M., & Geitner, C. (2014). Landform segmentation for digital soil mapping. (EGU, Ed.), Geophysical Abstracts. Retrieved de http://meetingorganizer.copernicus.org/EGU2014/EGU2014-5644.pdf
  • Zieher, T., Rutzinger, M., & Meißl, G. (2014). Sensitivity analysis and calibration of a coupled hydrological slope stability model (TRIGRS). (EGU, Ed.), Geophysical Abstracts. Retrieved de http://meetingorganizer.copernicus.org/EGU2014/EGU2014-8110.pdf
  • Rieg, L., Wichmann, V., Rutzinger, M., Sailer, R., Stötter, J., & Geist, T. (2014). Data infrastructure for multitemporal airborne LiDAR point cloud analysis - examples from physical geography in high mountain environments. Computers, Environment And Urban Systems, 45, 137-146. https://doi.org/10.1016/j.compenvurbsys.2013.11.004
  • Rutzinger, M., Heinrich, K., Borsdorf, A., & Stötter, J. (Eds.). (2014). permAfrost – Austrian Permafrost Research Initiative. Final Report. (A. G. Borsdorf Georg Stötter, Tran.).
  • Rutzinger, M., Heinrich, K., Borsdorf, A., & Stötter, J. (Eds.). (2014). permAfrost - Austrian Permafrost Research Initiative. Final Report. IGF-Forschungsberichte. https://doi.org/10.1553/IGF-1s1
  • Rutzinger, M., Heinrich, K., Borsdorf, A., & Stötter, J. (2014). permAfrost – Austrian Permafrost Research Initiative. Final Report (p. 88). https://doi.org/10.1553/IGF-1

2013

2013

  • Setiawan, M. A., Rutzinger, M., Wichmann, V., Stötter, J., & Sartohadi, J. (2013). Evaluation of methods for digital elevation model interpolation of tillage systems. Journal Of Natural Resources And Development, 3, 128-139. https://doi.org/10.5027/jnrd.v3i0.13
  • Bremer, M., Wichmann, V., & Rutzinger, M. (2013). Eigenvalue and graph-based object extraction from mobile laser scanning point clouds. (ISPRS, Ed.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. II-5/W2. Antalya. https://doi.org/10.5194/isprsannals-II-5-W2-55-2013
  • Sailer, R., Rutzinger, M., Rieg, L., & Wichmann, V. (2013). Digital elevation models derived from airborne laser scanning point clouds: Appropriate resolutions for multi-temporal characterisation and quanti cation of geomorphologic processes. Earth Surface Processes And Landforms, 39, 272–284. https://doi.org/10.1002/esp.3490
  • Rutzinger, M., Bremer, M., Sailer, R., & Stötter, J. (2013). Erfassung von räumlichen Daten in multiplen Dimensionen - topographisches LiDAR. In V. Dander, Gründhammer, V., Ortner, H., Pfurtscheller, D., & Rizzolli, M. (Eds.), Medienräume: Materialität und Regionalität (pp. 209-221).
  • Rutzinger, M., Moran, A., Fischer, A., & Groß, G. (2013). Klimawandel und Klimageschichte - Die Gletscher der Silvretta unter wandelnden Klimabedingungen. In Michael Kasper (Ed.), Heimatschutzverein Montafon: Silvretta Historica - Zeitreise durch die Silvretta (pp. 216-243).
  • Rutzinger, M., Zieher, T., Vetter, M., Geitner, C., Meißl, G., Perzl, F., et al. (2013). Climate induced system status changes at slopes and their impact on shallow landslide susceptibility – a concept.
  • Baruck, J., Gruber, F., Rutzinger, M., & Geitner, C. (2013). Terrain classification based on airborne laser scanning data.
  • Wiegand, C., Rutzinger, M., Heinrich, K., & Geitner, C. (2013). Automated Extraction of Shallow Erosion Areas Based on Multi-Temporal Ortho-Imagery. Remote Sensing, 5, 2292-2307. https://doi.org/10.3390/rs5052292
  • Bremer, M., Rutzinger, M., & Wichmann, V. (2013). Derivation of tree skeletons and error assessment using LiDAR point cloud data of varying quality. Isprs Journal Of Photogrammetry And Remote Sensing, 39-50. https://doi.org/10.1016/j.isprsjprs.2013.03.003
  • Rutzinger, M., Bremer, M., & Ragg, H. (2013). Roughness Estimation from Point Clouds – A Comparison of Terrestrial Laser Scanning and Image Matching by Unmanned Aerial Vehicle Acquisitions.
  • Bremer, M., Rutzinger, M., & Wichmann, V. (2013). Segment based shape matching in terrestrial laser scanning point clouds.
  • Kaartinen, H., Hyyppä, J., Kukko, A., Lehtomäki, M., Jaakkola, A., Vosselman, G., et al. (2013). Mobile Mapping - Road Environment Mapping using Mobile Laser Scanning. Retrieved de http://www.eurosdr.net/publications/62.pdf
  • Fey, C., Rutzinger, M., Zangerl, C., & Prager, C. (2013). Strukturanalysen aus LIDAR Daten zur Beschreibung des Deformationsverhalten von Massenbewegungen.
  • Wiegand, C., Kringer, K., Geitner, C., & Rutzinger, M. (2013). Regolith structure analysis — A contribution to understanding the local occurrence of shallow landslides (Austrian Tyrol). Geomorphology, 183, 5-13. https://doi.org/10.1016/j.geomorph.2012.06.027

2012

2012

  • Rutzinger, M., Mayr, A., & Bremer, M. (2012). 3D Landslide Change Detection using Terrestrial Laser Scanning.
  • Zieher, T., Formanek, T., Bremer, M., Meißl, G., & Rutzinger, M. (2012). Digital terrain model resolution and its influence on estimating the extent of rockfall areas. Transactions In Gis, 16, 691-699. https://doi.org/10.1111/j.1467-9671.2012.01334.x
  • Rieg, L., Sailer, R., Sproß, M., Rutzinger, M., & Wichmann, V. (2012). Comparison of different DTM resolutions for surface change calculations in a high mountain environment.
  • Wiegand, C. (2012). Multi-temporal analysis of aerial images for the investigation of spatial-temporal dynamics of shallow erosion – a case study from the Tyrolean Alps.
  • Mayr, A., Rutzinger, M., Bremer, M., Wiegand, C., Kringer, K., & Geitner, C. (2012). Analysis of shallow landslides by morphometry parameters derived from terrestrial laser scanning point clouds.
  • Rutzinger, M., Höfle, B., & Kringer, K. (2012). Accuracy of automatically extracted geomorphological breaklines from airborne LiDAR curvature images. Geographiska Annaler: Series A, Physical Geography, 33-42. https://doi.org/10.1111/j.1468-0459.2012.00453.x
  • Bremer, M., Jochem, A., & Rutzinger, M. (2012). Comparison of branch extraction for deciduous single trees in leaf-on and leaf-off conditions – an eigenvector based approach for terrestrial laser scanning point clouds. (R. et al. Reuter, Ed.), EARSeL eProceedings.

2011

2011

2010

2010

2006-2009

2006-2009