Ronald Tabernig Publications

2025

• Albert, W., Weiser, H., Tabernig, R., & Höfle, B. (2025). Wind during terrestrial laser scanning of trees: simulation-based assessment of effects on point cloud features and leaf-wood classification. In ISPRS Geospatial Week 2025 “Photogrammetry & remote sensing for a better tomorrow ...”, 6-11 April 2025, Dubai, United Arab Emirates (UAE). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. X-G-2025, 2025, pp. 25–32). http://doi.org/10.5194/isprs-annals-X-G-2025-25-2025
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• Carniel, N., Tabernig, R., Hartl, L., & Höfle, B. (2025). Deriving activity zones of the Äußeres Hochebenkar rock glacier through boulder tracking in multitemporal UAV-LiDAR point clouds. In EGU General Assembly 2025 (pp. 1–2). http://doi.org/10.5194/egusphere-egu25-5020
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• Czerwonka-Schröder, D., Schulte, F., Albert, W., Hosseini, K., Tabernig, R., Yang, Y., Höfle, B., Holst, C., & Zimmermann, K. (2025). AImon5.0: Echtzeitüberwachung gravitativer Massenbewegungen - eine Fallstudie am Trierer Augenscheiner. http://doi.org/10.11588/heidok.00036222
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• Czerwonka-Schröder, D., Schulte, F., Albert, W., Hosseini, K., Tabernig, R., Yang, Y., Höfle, B., Holst, C., & Zimmermann, K. (2025). AImon5.0: real-time monitoring of gravitational mass movements for critical infrastructure risk management with AI-assisted 3D metrology. In 6th Joint International Symposium on Deformation Monitoring (pp. 1–9). http://doi.org/10.5445/IR/1000179762
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• Durrant, A., Harcourt, W. D., Höfle, B., Weiser, H., & Tabernig, R. (2025). Linking small- and large-scale Digital Twins: a concept. In EGU General Assembly 2025 (p. 1). http://doi.org/10.5194/egusphere-egu25-18187
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• Meyer, J. S., Tabernig, R., & Höfle, B. (2025). Detection of honey bees (Apis mellifera) in hypertemporal LiDAR point cloud time series to extract bee activity zones and times. In ISPRS Geospatial Week 2025 “Photogrammetry & remote sensing for a better tomorrow ...”, 6-11 April 2025, Dubai, United Arab Emirates (UAE). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. X-G-2025, 2025, pp. 583–590). http://doi.org/10.5194/isprs-annals-X-G-2025-583-2025
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• Tabernig, R., Albert, W., Weiser, H., & Höfle, B. (2025). A hierarchical approach for near real-time 3D surface change analysis of permanent laser scanning point clouds. In 6th Joint International Symposium on Deformation Monitoring (pp. 1–9). http://doi.org/10.5445/IR/1000180377
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• Tabernig, R., Albert, W., Weiser, H., Fritzmann, P., Anders, K., Rutzinger, M., & Höfle, B. (2025). Temporal aggregation of point clouds improves permanent laser scanning of landslides in forested areas [source code]. http://doi.org/10.11588/DATA/ISB1VL
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• Tabernig, R., Albert, W., Weiser, H., Fritzmann, P., Anders, K., Rutzinger, M., & Höfle, B. (2025). Temporal aggregation of point clouds improves permanent laser scanning of landslides in forested areas. Science of Remote Sensing, 12, 1–16. http://doi.org/10.1016/j.srs.2025.100254
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• Tabernig, R., Albert, W., Weiser, H., & Höfle, B. (2025). Towards in-situ near real-time 3D environmental monitoring and geospatial point cloud analysis with open-source software. AGIT Konferenz für Geoinformatik 2.-3. Juli 2025, Salzburg (p. 202). http://doi.org/10.25598/agit/2025-48
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• Weiser, H., Albert, W., Tabernig, R., & Höfle, B. (2025). Virtual laser scanning of dynamic scenes (VLS-4D): a novel opportunity for advancing 3D forest monitoring. In EGU General Assembly 2025 (pp. 1–2). http://doi.org/10.5194/egusphere-egu25-1560
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2024

• Höfle, B., Tabernig, R., Zahs, V., Esmorís Pena, A. M., Winiwarter, L., & Weiser, H. (2024). Machine-learning based 3D point cloud classification and multitemporal change analysis with simulated laser scanning data using open source scientific software. In EGU General Assembly 2024 (pp. 1–2). http://doi.org/10.5194/egusphere-egu24-1261
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• Tabernig, R., Zahs, V., Weiser, H., & Höfle, B. (2024). Simulating 4D scenes of rockfall and landslide activity for improved 3D point cloud-based change detection using machine learning. In EGU General Assembly 2024 (pp. 1–2). http://doi.org/10.5194/egusphere-egu24-1613
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• Tabernig, R. (2024). Simulating laser scanning of dynamic virtual 3D scenes for improved 4D point cloud based topographic change analysis. In Sensing mountains (pp. 134–137).
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• Zahs, V., Höfle, B., Federer, M., Weiser, H., Tabernig, R., & Anders, K. (2024). Automatic classification of surface activity types from geographic 4D monitoring combining virtual laser scanning, change analysis and machine learning. In EGU General Assembly 2024 (pp. 1–2).
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2023

• Tabernig, R., Anders, K., Fritzmann, P., Weiser, H., Zahs, V., Höfle, B., & Rutzinger, M. (2023). Quantifying slope movements: tree trunk tracking using long-range stationary 4D laser scanning point clouds. In VGC 2023 - Unveiling the dynamic Earth with digital methods (pp. 114–115).
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