Ronald Tabernig Publications

2026

• Anders, K., Kempf, D., Albert, W., Andriushchenko, P., Huang, X., Hulskemper, D., Isensee, T., Kapitan, D., Tabernig, R., Weiser, H., Winiwarter, L., Zahs, V., & Höfle, B. (2026). py4dgeo: open-source scientific software for topographic change analysis in 3D/4D geographic point clouds. SoftwareX, 34, 1–9. http://doi.org/10.1016/j.softx.2026.102670
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• Czerwonka-Schröder, D., Holst, C., Höfle, B., Schneider, L., Zimmermann, K., Holtkamp, U., Schulte, F., Hosseini, K., Yang, Y., Albert, W., & Tabernig, R. (2026). Echtzeitüberwachung gravitativer Massenbewegungen zum Risikomanagement kritischer Infrastrukturen mit KI-unterstützter 3D-Metrologie - AImon5.0: Schlussbericht des Verbundprojektes AImon5.0. DMT GmbH & Co. KG und Hochschule Bochum. http://doi.org/10.34657/31199
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• Huang, X., Letard, M., Lague, D., Leroy, P., Höfle, B., Tabernig, R., & Anders, K. (2026). Time-adaptive change analysis through extension of the M3C2 algorithm using multi-modal laser scanning data in a salt marsh environment. In XXV ISPRS Congress 2026 “From Imagery to Understanding”, Commission II. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 11–2–2026, 2026, pp. 623–630). http://doi.org/10.5194/isprs-annals-XI-2-2026-623-2026
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• Hulskemper, D., Weiser, H., Tabernig, R., Höfle, B., de Jong, T., & Lindenbergh, R. (2026). Low-cost terrestrial laser scanners for permanent monitoring of beach-dune systems. In XXV ISPRS Congress 2026 “From Imagery to Understanding”, Commission I. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 11–1–2026, 2026, pp. 91–99). http://doi.org/10.5194/isprs-annals-XI-1-2026-91-2026
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• Tabernig, R., & Höfle, B. (2026). Scan Outlier Ratio (ScOR): LiDAR scanning and survey-aware filtering of detached points in terrestrial and permanent laser scanning point clouds. In XXV ISPRS Congress 2026 “From Imagery to Understanding”, Commission II. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 11–2–2026, 2026, pp. 155–162). http://doi.org/10.5194/isprs-annals-XI-2-2026-155-2026
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• Weiser, H., Tabernig, R., & Höfle, B. (2026). Reducing wind effects in multi-scan terrestrial laser scanning point clouds of trees combining LiDAR simulation and deep learning [data and source code]. http://doi.org/10.11588/DATA/JQNDRP
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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. 10-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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• 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. In 23. Internationale Geodätische Woche Obergurgl 2025 (pp. 240–251).
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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. 10-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 2024 (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). http://doi.org/10.5194/egusphere-egu24-1640
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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. 122–123). http://doi.org/10.25368/2025.214
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