Articles | Volume 6, issue 2
https://doi.org/10.5194/esurf-6-303-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-6-303-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Apr 2018
Research article |
| 16 Apr 2018
| 16 Apr 2018
Identification of stable areas in unreferenced laser scans for automated geomorphometric monitoring
Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, Berlin, Germany
Michael Avian
Austrian Institute of Technology GmbH, Tulln, Austria
Daniel Krueger
GFaI – Society for the Advancement of Applied Computer Science, Berlin, Germany
Frank Neitzel
Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, Berlin, Germany
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Cited
16 citations as recorded by crossref.
- Increasing Spatio-Temporal Resolution for Monitoring Alpine Solifluction Using Terrestrial Laser Scanners and 3D Vector Fields C. Holst et al. 10.3390/rs13061192
- Resampling Methods in Neural Networks: From Point to Interval Application to Coordinate Transformation V. Rofatto et al. 10.1061/JSUED2.SUENG-1366
- A new approach for monitoring mining surface 3D deformation using UAV-LiDAR point cloud data X. Wang et al. 10.1016/j.measurement.2025.117745
- Application of Optimization Algorithms for Identification of Reference Points in a Monitoring Network W. Odziemczyk 10.3390/s21051739
- An Automatic Coordinate Unification Method of Multitemporal Point Clouds Based on Virtual Reference Datum Detection W. Sun et al. 10.1109/JSTARS.2020.3008492
- Determination of underground mining-induced displacement field using multi-temporal TLS point cloud registration W. Matwij et al. 10.1016/j.measurement.2021.109482
- Canadian Geotechnical Colloquium: three-dimensional remote sensing, four-dimensional analysis and visualization in geotechnical engineering — state of the art and outlook M. Lato 10.1139/cgj-2020-0399
- Efficient and cost-effective monitoring of urban green spaces using combination of photogrammetry, LiDAR, and RTK in an iPhone-Based approach J. Výbošťok et al. 10.2478/forj-2025-0007
- Multitemporal terrestrial laser scanning point clouds for thaw subsidence observation at Arctic permafrost monitoring sites K. Anders et al. 10.1002/esp.4833
- The three-stage rock failure dynamics of the Drus (Mont Blanc massif, France) since the June 2005 large event A. Guerin et al. 10.1038/s41598-020-74162-1
- Derivation of Three-Dimensional Displacement Vectors from Multi-Temporal Long-Range Terrestrial Laser Scanning at the Reissenschuh Landslide (Tyrol, Austria) J. Pfeiffer et al. 10.3390/rs10111688
- Drive-by infrastructure monitoring: a workflow for rigorous deformation analysis of mobile laser scanning data S. Kalenjuk & W. Lienhart 10.1177/14759217231168997
- The Status of Earth Observation Techniques in Monitoring High Mountain Environments at the Example of Pasterze Glacier, Austria: Data, Methods, Accuracies, Processes, and Scales M. Avian et al. 10.3390/rs12081251
- Assessing DEM quality and minimizing registration error in repeated geomorphic surveys with multi‐temporal ground truths of invariant features: Application to a long‐term dataset of beach topography and nearshore bathymetry S. Bertin et al. 10.1002/esp.5436
- Unmanned aerial vehicle‐based mapping of turf‐banked solifluction lobe movement and its relation to material, geomorphometric, thermal and vegetation properties J. Eichel et al. 10.1002/ppp.2036
- An efficient method of monitoring slow-moving landslides with long-range terrestrial laser scanning: a case study of the Dashu landslide in the Three Gorges Reservoir Region, China R. Huang et al. 10.1007/s10346-018-1118-6
15 citations as recorded by crossref.
- Increasing Spatio-Temporal Resolution for Monitoring Alpine Solifluction Using Terrestrial Laser Scanners and 3D Vector Fields C. Holst et al. 10.3390/rs13061192
- Resampling Methods in Neural Networks: From Point to Interval Application to Coordinate Transformation V. Rofatto et al. 10.1061/JSUED2.SUENG-1366
- A new approach for monitoring mining surface 3D deformation using UAV-LiDAR point cloud data X. Wang et al. 10.1016/j.measurement.2025.117745
- Application of Optimization Algorithms for Identification of Reference Points in a Monitoring Network W. Odziemczyk 10.3390/s21051739
- An Automatic Coordinate Unification Method of Multitemporal Point Clouds Based on Virtual Reference Datum Detection W. Sun et al. 10.1109/JSTARS.2020.3008492
- Determination of underground mining-induced displacement field using multi-temporal TLS point cloud registration W. Matwij et al. 10.1016/j.measurement.2021.109482
- Canadian Geotechnical Colloquium: three-dimensional remote sensing, four-dimensional analysis and visualization in geotechnical engineering — state of the art and outlook M. Lato 10.1139/cgj-2020-0399
- Efficient and cost-effective monitoring of urban green spaces using combination of photogrammetry, LiDAR, and RTK in an iPhone-Based approach J. Výbošťok et al. 10.2478/forj-2025-0007
- Multitemporal terrestrial laser scanning point clouds for thaw subsidence observation at Arctic permafrost monitoring sites K. Anders et al. 10.1002/esp.4833
- The three-stage rock failure dynamics of the Drus (Mont Blanc massif, France) since the June 2005 large event A. Guerin et al. 10.1038/s41598-020-74162-1
- Derivation of Three-Dimensional Displacement Vectors from Multi-Temporal Long-Range Terrestrial Laser Scanning at the Reissenschuh Landslide (Tyrol, Austria) J. Pfeiffer et al. 10.3390/rs10111688
- Drive-by infrastructure monitoring: a workflow for rigorous deformation analysis of mobile laser scanning data S. Kalenjuk & W. Lienhart 10.1177/14759217231168997
- The Status of Earth Observation Techniques in Monitoring High Mountain Environments at the Example of Pasterze Glacier, Austria: Data, Methods, Accuracies, Processes, and Scales M. Avian et al. 10.3390/rs12081251
- Assessing DEM quality and minimizing registration error in repeated geomorphic surveys with multi‐temporal ground truths of invariant features: Application to a long‐term dataset of beach topography and nearshore bathymetry S. Bertin et al. 10.1002/esp.5436
- Unmanned aerial vehicle‐based mapping of turf‐banked solifluction lobe movement and its relation to material, geomorphometric, thermal and vegetation properties J. Eichel et al. 10.1002/ppp.2036
Latest update: 23 Aug 2025
Short summary
The importance of increasing the degree of automation in the context of monitoring natural hazards or geological phenomena is apparent. A vital step in the processing chain of monitoring deformations is the transformation of captured epochs into a common reference systems. This led to the motivation to develop an algorithm that realistically carries out this task. The algorithm was tested on three different geomorphic events while the results were quite satisfactory.
The importance of increasing the degree of automation in the context of monitoring natural...
