Articles | Volume 23, issue 10
https://doi.org/10.5194/nhess-23-3285-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-3285-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Fixed photogrammetric systems for natural hazard monitoring with high spatio-temporal resolution
Xabier Blanch
CORRESPONDING AUTHOR
Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, 01062 Dresden, Germany
RISKNAT Research Group, Geomodels Research Institute, Universitat de Barcelona, 08028 Barcelona, Spain
Marta Guinau
RISKNAT Research Group, Geomodels Research Institute, Universitat de Barcelona, 08028 Barcelona, Spain
Anette Eltner
Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, 01062 Dresden, Germany
Antonio Abellan
Centre for Research on the Alpine Environment (CREALP), Sion, CH1950 Valais, Switzerland
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Cited
13 citations as recorded by crossref.
- Multitemporal Quantification of the Geomorphodynamics on a Slope within the Cratère Dolomieu at the Piton de la Fournaise (La Réunion, Indian Ocean) Using Terrestrial LiDAR Data, Terrestrial Photographs, and Webcam Data K. Wegner et al. 10.3390/geosciences14100259
- Proficient Calibration Methodologies for Fixed Photogrammetric Monitoring Systems D. Guccione et al. 10.3390/rs16132281
- A novel and scalable flood risk assessment framework for cultural heritage based on unmanned aerial vehicle photogrammetry and multi-scale rain-on-grid hydraulic modeling M. Alexopoulos et al. 10.1016/j.scitotenv.2025.180256
- Subpixel Automatic Detection of GCP Coordinates in Time-Lapse Images Using a Deep Learning Keypoint Network X. Blanch et al. 10.1109/TGRS.2024.3514854
- A cost-effective image-based system for 3D geomorphic monitoring: An application to rockfalls X. Blanch et al. 10.1016/j.geomorph.2024.109065
- Investigating the influences of precipitation, snowmelt, and freeze-thaw on rockfall in Glenwood Canyon, Colorado using terrestrial laser scanning L. Weidner et al. 10.1007/s10346-024-02266-0
- A novel multi-smartphone automatic measurement system for soil shrinkage characteristics in shrinkage test K. Fang et al. 10.1016/j.measurement.2025.118487
- High-resolution assessment of a hillslope affected by a debris flow 3-years after a wildfire Á. Gómez-Gutiérrez et al. 10.1016/j.catena.2025.108999
- Near real-time change detection tool for photogrammetric flood preparedness M. Kögel & D. Carstensen 10.1007/s10661-024-13597-9
- SSegRef2Surf—Near Real-Time Photogrammetric Flood Monitoring and Refinement of Classified Water Surfaces M. Kögel et al. 10.3390/rs17081351
- Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring F. Ioli et al. 10.1007/s41064-023-00272-w
- The use of terrestrial monoscopic time-lapse cameras for surveying glacier flow velocity N. Dematteis et al. 10.1016/j.coldregions.2024.104185
- AI-based tracking of fast-moving alpine landforms using high-frequency monoscopic time-lapse imagery H. Hendrickx et al. 10.5194/esurf-13-705-2025
13 citations as recorded by crossref.
- Multitemporal Quantification of the Geomorphodynamics on a Slope within the Cratère Dolomieu at the Piton de la Fournaise (La Réunion, Indian Ocean) Using Terrestrial LiDAR Data, Terrestrial Photographs, and Webcam Data K. Wegner et al. 10.3390/geosciences14100259
- Proficient Calibration Methodologies for Fixed Photogrammetric Monitoring Systems D. Guccione et al. 10.3390/rs16132281
- A novel and scalable flood risk assessment framework for cultural heritage based on unmanned aerial vehicle photogrammetry and multi-scale rain-on-grid hydraulic modeling M. Alexopoulos et al. 10.1016/j.scitotenv.2025.180256
- Subpixel Automatic Detection of GCP Coordinates in Time-Lapse Images Using a Deep Learning Keypoint Network X. Blanch et al. 10.1109/TGRS.2024.3514854
- A cost-effective image-based system for 3D geomorphic monitoring: An application to rockfalls X. Blanch et al. 10.1016/j.geomorph.2024.109065
- Investigating the influences of precipitation, snowmelt, and freeze-thaw on rockfall in Glenwood Canyon, Colorado using terrestrial laser scanning L. Weidner et al. 10.1007/s10346-024-02266-0
- A novel multi-smartphone automatic measurement system for soil shrinkage characteristics in shrinkage test K. Fang et al. 10.1016/j.measurement.2025.118487
- High-resolution assessment of a hillslope affected by a debris flow 3-years after a wildfire Á. Gómez-Gutiérrez et al. 10.1016/j.catena.2025.108999
- Near real-time change detection tool for photogrammetric flood preparedness M. Kögel & D. Carstensen 10.1007/s10661-024-13597-9
- SSegRef2Surf—Near Real-Time Photogrammetric Flood Monitoring and Refinement of Classified Water Surfaces M. Kögel et al. 10.3390/rs17081351
- Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring F. Ioli et al. 10.1007/s41064-023-00272-w
- The use of terrestrial monoscopic time-lapse cameras for surveying glacier flow velocity N. Dematteis et al. 10.1016/j.coldregions.2024.104185
- AI-based tracking of fast-moving alpine landforms using high-frequency monoscopic time-lapse imagery H. Hendrickx et al. 10.5194/esurf-13-705-2025
Latest update: 13 Sep 2025
Short summary
We present cost-effective photogrammetric systems for high-resolution rockfall monitoring. The paper outlines the components, assembly, and programming codes required. The systems utilize prime cameras to generate 3D models and offer comparable performance to lidar for change detection monitoring. Real-world applications highlight their potential in geohazard monitoring which enables accurate detection of pre-failure deformation and rockfalls with a high temporal resolution.
We present cost-effective photogrammetric systems for high-resolution rockfall monitoring. The...
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