Peer-Reviewed Publications
© IGG

List of Peer-Reviewed  Publications

2026

  • Koller, E., Klingbeil, L., and Kuhlmann, H. (2026). Calibration of Panoramic Terrestrial Laser Scanners using Planar Patches, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., XI-1-2026, 373–380, https://doi.org/10.5194/isprs-annals-XI-1-2026-373-2026 [Video]
  • Koller, E.,  Jost, B., Klingbeil, L., Kuhlmann, H. (2026) Integration of edge information from digital images into TLS point clouds, ISPRS Open Journal of Photogrammetry and Remote Sensing, Volume 22, 2026, 100155, ISSN 2667-3932, https://doi.org/10.1016/j.ophoto.2026.100155.
  • Tobies, A., Foth, J., Cornelißen, A., Koller, E., Klingbeil, L., and Kuhlmann, H. (2026). Joint Stone Segmentation and Feature Driven Deformation Analysis at Water Dams, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., XI-1-2026, 411–418, https://doi.org/10.5194/isprs-annals-XI-1-2026-411-2026
  • Hummelsberger, J., AbdelGafar, O., Lichti, D., and Holst, C. (2026). Methodological framework for determining vertical angular variances of terrestrial laser scanners, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., XI-1-2026, 363–371, https://doi.org/10.5194/isprs-annals-XI-1-2026-363-2026
  • Ötsch, E. and Neuner, H. (2026).From tensor-product to truncated hierarchical B-splines: Enhancing spatial resolution in space-continuous deformation analysis based on 3D point clouds, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., XI-1-2026, 401–409, https://doi.org/10.5194/isprs-annals-XI-1-2026-401-2026.
  • Naeimaei, R. and Schön, S. (2026). Complementing and Validating Uncertainty of Terrestrial Laser Scanning via Interval Analysis, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., XI-1-2026, 391–399, https://doi.org/10.5194/isprs-annals-XI-1-2026-391-2026.
  • AbdelGafar, O., Palaz, S., Yang, Y., Holst, C. (2026). On-site Strategy for Estimating Range Variances of Terrestrial Laser Scanners Based on (Un-)Scaled Intensity Values. Journal of Applied Geodesy. https://doi.org/10.1515/jag-2025-0100[Video].
  • Lucks, L., Holst, C. (2026). Feature-Based Multi-Epoch Rock Slope Monitoring Using Images and Terrestrial Laser Scans. ISPRS Open Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.ophoto.2026.100120.
  • Trill, L., Raffl, L., Holst, C. (2026). UAV LiDAR Flight Planning for High-Precision Rockfall Monitoring in Alpine Environments: First Strategies and Preliminary Results on Mt. Hochvogel. Survey Review. https://doi.org/10.1080/00396265.2026.2680325. [Video]
  • Hummelsberger, J., AbdelGafar, O., Lichti, D., and Holst, C.: Methodological framework for determining vertical angular variances of terrestrial laser scanners, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., XI-1-2026, 363–371, https://doi.org/10.5194/isprs-annals-XI-1-2026-363-2026.
  • Hartmann, J., Neumann, I., Alkhatib, H. (2026). Modeling the distribution of TLS distance related uncertainties. Measurement, 270, 120908, https://doi.org/10.1016/j.measurement.2026.120908.
  • Yang, Y., Harmening, C., Czerwonka-Schröder, D., and Holst, C. (2026). Reducing Non-rigidity in TLS Point Clouds Induced by Inhomogeneous Systematic Errors Using Free-form Surface Modeling, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., XI-1-2026, 419–426, https://doi.org/10.5194/isprs-annals-XI-1-2026-419-2026.
  • Mandlburger, G., Ötsch, E.,  Knopf, P. (2026). Evaluation and performance assessment of a novel UAV-borne laser scanner system. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 289–297). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-archives-XLIX-B1-2026-289-2026
  •  AbdelGafar, O., Palaz, S., Yang, Y., Lichti, D., and Holst, C. (2026). Estimating laser scanner’s effective laser beam footprint using line spread function, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIX-B1-2026, 121–128, https://doi.org/10.5194/isprs-archives-XLIX-B1-2026-121-2026.
  • Pfaffinger, T., Nothnagel, A., Mey, P., Quick, J., Botha, R., Stronkhorst, P.,  Nickola, M., Holst, C. (2026). Determining Temperature-Corrected Gravitational Focal Length Changes of the 26-m HartRAO Radio Telescope. International Association of Geodesy Symposia. https://doi.org/10.1007/1345_2026_340.
  • Speidel, P.,  Schwieger, V. (2026). 3D Visibility Analysis for Planning of TLS Networks. FIG Congress 2026, Cape Town, South Africa, 24–29 May 2026.
  • Naeimaei, R., Schön, S., Ötsch, E., Neuner, H. (2026). Integrating Deterministic and Stochastic Uncertainty in Terrestrial Laser Scanner-based Deformation Monitoring. 445. Paper presented at 11th International Workshop on Reliable Engineering Computing, REC 2026, Dortmund, North Rhine-Westphalia, Germany. https://doi.org/10.17877/tudobooks-11.193.
  • Lingel, L.; Schneider, L.; Ummenhofer, T.; Harmening, C. (2026). Dynamisches Monitoring einer Eisenbahnbrücke mit Beschleunigungssensoren und Profillaserscanning. Beiträge zum 21. Internationalen Ingenieurvermessungskurs; Graz, Österreich, 10.-13.02.2026, 258–269, Verlag der Technischen Universität Graz. doi:10.3217/978-3-99161-070-0-022.

  • Pfaffinger, T., Nothnagel, A. Holst, C. (2026). Workflow for Monitoring Gravitational Focal Length Changes of the HartRAO 26 m Radio Telescope's Main Reflector. FIG Congress 2026 – The Future We Want – The SDGs and Beyond.

  • Hartmann, J, Neumann, I, Alkhatib, H., (2026). Modeling the Distribution of TLS Distance-Related Uncertainties for Calibration of Geodetic Sensors, FIG Congress 2026, South Africa.

  • Naeimaei, R., Schön, S., Ötsch, E., Neuner, H. (2026). Integrating Deterministic and Stochastic Uncertainty in Terrestrial Laser Scanner-based Deformation Monitoring. REC 2026 proceedings. https://doi.org/10.17877/tudobooks-11.193.
  • Naeimaei, R., & Schön, S. (2026). Beyond a Pure Stochastic Treatment: Integrating Remaining Systematics into Congruency Tests. in 21. Ingenieurvermessung 2026 (S. 149-157) https://doi.org/10.3217/978-3-99161-070-0-013

2025

  • Ötsch, E., Harmening, C. and Neuner, H. (2025). Employing variance component estimation for point cloud based geometric surface representation by B-splines. Journal of Applied Geodesy, vol. 19, no. 3, pp. 377-384. https://doi.org/10.1515/jag-2025-0037
  • Sadiq S. and Harmening, C. (2025). Investigating the potential of stochastic relationships to model deformations. Journal of Applied Geodesy, vol. 19, no. 3, pp. 395-402. https://doi.org/10.1515/jag-2025-0031
  • Yang, Y. and Holst, C. (2025). Piecewise-ICP: Efficient and robust registration for 4D point clouds in permanent laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 227, 481-500. https://doi.org/10.1016/j.isprsjprs.2025.06.026                                                                                                                                                                                                            [Video]
  • Naeimaei, R. and Schön, S. (2025). Interval-based uncertainty bounding for terrestrial laser scanning observations, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 599-606. https://doi.org/10.5194/isprs-annals-X-G-2025-599-2025
  • Naeimaei R. and Schön, S. (2025). Deterministic uncertainty for terrestrial laser scanning observations based on intervals. Journal of Applied Geodesy, 19(3): 385-394.  https://doi.org/10.1515/jag-2025-0034  
  • Yang, Y. and Holst, C. (2025). How to Find Geometric Changes in Laser Scanning Point Clouds? A Perspective on Correspondence Definitions. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-annals-x-g-2025-1003-2025
  • Sadiq, S. and Harmening, C. (2025). Investigating the potential of stochastic relationships to model deformations. Poster presentation at the 6th Joint International Symposium on Deformation Monitoring (JISDM), Karlsruher Institut für Technologie (KIT).
  • Lucks, L. and Holst, C.(2025). Segment-wise ICP for Enhanced Point Cloud Registration in Low-Cost Photogrammetric Landslide Monitoring, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1/W6-2025, 123–129, https://doi.org/10.5194/isprs-archives-XLVIII-1-W6-2025-123-2025. [Video]
  • Ötsch, E., & Neuner, H. (2025). Assessing Approaches for Consecutive B-Spline Model Adaption Based on Point Clouds with Varying Structural Complexity. In INGEO 2025: Proceedings of the 9th International Conference on Engineering Surveying (pp. 64-73). SPEKTRUM STU Publishing.

2024

  • Schill, F., Holst, C., Wujanz, D., Hartmann, J. and Paffenholz J. (2024). Intensity-based stochastic model of terrestrial laser scanners: Methodological workflow, empirical derivation and practical benefit. ISPRS Open Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.ophoto.2024.100079. [Video]
  • Hartmann, J., Ernst, D., Neumann, I. and Alkhatib, H. (2024). PointNet-based modeling of systematic distance deviations for improved TLS accuracy. Journal of Applied Geodesy, 18(4), 613-628, https://doi.org/10.1515/jag-2023-0097 

2023

  • Hartmann, J., Heiken, M., Alkhatib, H. and Neumann I. (2023). Automatic quality assessment of terrestrial laser scans, Journal of Applied Geodesy, 17(4), 333-353. https://doi.org/10.1515/jag-2022-0030
  • Hartmann, J. and Alkhatib, H. (2023). Uncertainty Modelling of Laser Scanning Point Clouds Using Machine-Learning Methods, Remote Sensing, 15(9), Article 2349. https://doi.org/10.3390/rs15092349