PD Dr.

Martin Rutzinger

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

ORCID: 0000-0001-6628-4681

Key research areas


Earth Observation by Close-range and Remote Sensing, Geoinformatics, 3D Environmental, Infrastructure, and Resources Monitoring, Geomorphology, Natural Hazard Research, Vegetation and Forestry Analysis, Land-cover and Land-use Change, Human-Environment Systems, Mountain Research

Functions


Selected publications

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
  • Back, Y., Zischg, J., Bremer, M., Rutzinger, M., & Kleidorfer, M. (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
  • Bremer, M., Rutzinger, M., & Kollert, A. (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
  • Kollert, A., Rutzinger, M., Bremer, M., Hollaus, M., Pfeifer, N., Bauer-Marschallinger, B., et al. (2019). Automated Area-Wide Tree Species Mapping Based on Sentinel-2 Imagery: Influence of Topography and Forest Structure on Classification Quality.

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
  • Löbmann, M., Geitner, C., Mayr, A., Mejia-Aguilar, A., Rutzinger, M., Viketoft, M., et al. (2018). The influence of herbaceous vegetation on the occurrence of shallow erosion on Alpine pastures and grasslands. (Graduate School Graubünden, Ed.), 6th conference Graubünden forscht "the young researchers convention". Retrieved de https://graduateschool.ch/wp-content/uploads/yrc2018_program_and_abstracts.pdf
  • Mayr, A., Geitner, C., Rutzinger, M., Mayer, S., & Stumpf, F. (2018). Land use change, erosion dynamics and vegetation succession at a subalpine grassland site. (BonaRes Centre for Soil Research, Ed.), SUSALPS Conference 2018 – Book of Abstracts: Montane and alpine grasslands under climate change – ways in a sustainable future.
  • 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
  • Zieher, T., Toschi, I., Remondino, F., Rutzinger, M., Kofler, C., Meija-Aguilar, A., & Schlögel, R. (2018). Sensor- and scene-guided integration of TLS and photogrammetric point clouds for landslide monitoring. (F. Remondino, I. Toschi,, & T. Fuse,, Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-archives-XLII-2-1243-2018
  • 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
  • Mayr, S., Rutzinger, M., Geitner, C., Niederheiser, R., & Winkler, M. (2018). Land Cover Classification and Change Detection in European High-Altitude Regions. (ESA, Ed.), eo4alps - 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
  • Mayr, A., Rutzinger, M., & Geitner, C. (2018). Multitemporal analysis of objects in 3D point clouds for landslide monitoring. (F. Remondino, I. Toschi,, & T. Fuse,, Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-archives-XLII-2-691-2018
  • 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
  • Zieher, T., Pfeiffer, J., & Rutzinger, M. (2018). Quantification of 3D landslide displacement derived from multi-temporal long-range terrestrial laser scanning. Geophysical Research Abstracts. Retrieved de https://meetingorganizer.copernicus.org/EGU2018/EGU2018-13760.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
  • 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
  • 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