Articles | Volume 5, issue 4
https://doi.org/10.5194/esurf-5-861-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esurf-5-861-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Dec 2017
Research article |
| 21 Dec 2017
The determination of high-resolution spatio-temporal glacier motion fields from time-lapse sequences
Ellen Schwalbe
CORRESPONDING AUTHOR
Institute of Photogrammetry and Remote sensing, Technische
Universität Dresden, 01069 Dresden, Germany
Hans-Gerd Maas
Institute of Photogrammetry and Remote sensing, Technische
Universität Dresden, 01069 Dresden, Germany
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- Classification and kinematics of the Planpincieux Glacier break-offs using photographic time-lapse analysis D. Giordan et al. 10.1017/jog.2019.99
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- Increasing Spatio-Temporal Resolution for Monitoring Alpine Solifluction Using Terrestrial Laser Scanners and 3D Vector Fields C. Holst et al. 10.3390/rs13061192
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- Rock Glacier Kinematics in the Kaunertal, Ötztal Alps, Austria T. Groh & J. Blöthe 10.3390/geosciences9090373
- Performance Testing of Optical Flow Time Series Analyses Based on a Fast, High-Alpine Landslide D. Hermle et al. 10.3390/rs14030455
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- Integration of robotic total station and digital image correlation to assess the three-dimensional surface kinematics of a landslide N. Dematteis et al. 10.1016/j.enggeo.2022.106655
- Deciphering Small-Scale Seasonal Surface Dynamics of Rock Glaciers in the Central European Alps Using DInSAR Time Series S. Buchelt et al. 10.3390/rs15122982
- Multi-Epoch and Multi-Imagery (MEMI) Photogrammetric Workflow for Enhanced Change Detection Using Time-Lapse Cameras X. Blanch et al. 10.3390/rs13081460
27 citations as recorded by crossref.
- Systematic Quantification and Assessment of Digital Image Correlation Performance for Landslide Monitoring D. Hermle et al. 10.3390/geosciences13120371
- Ice content and interannual water storage changes of an active rock glacier in the dry Andes of Argentina C. Halla et al. 10.5194/tc-15-1187-2021
- Snow cover evolution at Qasigiannguit Glacier, southwest Greenland: A comparison of time-lapse imagery and mass balance data A. Messerli et al. 10.3389/feart.2022.970026
- The use of terrestrial monoscopic time-lapse cameras for surveying glacier flow velocity N. Dematteis et al. 10.1016/j.coldregions.2024.104185
- Photogrammetric rockfall monitoring in Alpine environments using M3C2 and tracked motion vectors L. Lucks et al. 10.1016/j.ophoto.2024.100058
- Glacier Image Velocimetry: an open-source toolbox for easy and rapid calculation of high-resolution glacier velocity fields M. Van Wyk de Vries & A. Wickert 10.5194/tc-15-2115-2021
- Image Classification for Automated Image Cross-Correlation Applications in the Geosciences N. Dematteis et al. 10.3390/app9112357
- Eruption dynamics of Anak Krakatau volcano (Indonesia) estimated using photogrammetric methods I. Hochfeld et al. 10.1007/s00445-022-01579-z
- High-Endurance UAV for Monitoring Calving Glaciers: Application to the Inglefield Bredning and Eqip Sermia, Greenland G. Jouvet et al. 10.3389/feart.2019.00206
- Fixed photogrammetric systems for natural hazard monitoring with high spatio-temporal resolution X. Blanch et al. 10.5194/nhess-23-3285-2023
- Monthly velocity and seasonal variations of the Mont Blanc glaciers derived from Sentinel-2 between 2016 and 2024 F. Troilo et al. 10.5194/tc-18-3891-2024
- Ten-Year Monitoring of the Grandes Jorasses Glaciers Kinematics. Limits, Potentialities, and Possible Applications of Different Monitoring Systems N. Dematteis et al. 10.3390/rs13153005
- Classification and kinematics of the Planpincieux Glacier break-offs using photographic time-lapse analysis D. Giordan et al. 10.1017/jog.2019.99
- Evidences of Bedrock Forcing on Glacier Morphodynamics: A Case Study in Italian Alps N. Dematteis et al. 10.3389/feart.2022.793546
- Increasing Spatio-Temporal Resolution for Monitoring Alpine Solifluction Using Terrestrial Laser Scanners and 3D Vector Fields C. Holst et al. 10.3390/rs13061192
- Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring F. Ioli et al. 10.1007/s41064-023-00272-w
- PyTrx: A Python-Based Monoscopic Terrestrial Photogrammetry Toolset for Glaciology P. How et al. 10.3389/feart.2020.00021
- Assessing the Influence of Temperature Changes on the Geometric Stability of Smartphone- and Raspberry Pi Cameras M. Elias et al. 10.3390/s20030643
- Fast local adaptive multiscale image matching algorithm for remote sensing image correlation N. Dematteis et al. 10.1016/j.cageo.2021.104988
- 4D surface kinematics monitoring through terrestrial radar interferometry and image cross-correlation coupling N. Dematteis et al. 10.1016/j.isprsjprs.2018.05.017
- Evaluation of low-cost Raspberry Pi sensors for structure-from-motion reconstructions of glacier calving fronts L. Taylor et al. 10.5194/nhess-23-329-2023
- Automatic Image‐Based Water Stage Measurement for Long‐Term Observations in Ungauged Catchments A. Eltner et al. 10.1029/2018WR023913
- Rock Glacier Kinematics in the Kaunertal, Ötztal Alps, Austria T. Groh & J. Blöthe 10.3390/geosciences9090373
- Performance Testing of Optical Flow Time Series Analyses Based on a Fast, High-Alpine Landslide D. Hermle et al. 10.3390/rs14030455
- Tracking icebergs with time-lapse photography and sparse optical flow, LeConte Bay, Alaska, 2016–2017 C. KIENHOLZ et al. 10.1017/jog.2018.105
- Integration of robotic total station and digital image correlation to assess the three-dimensional surface kinematics of a landslide N. Dematteis et al. 10.1016/j.enggeo.2022.106655
- Deciphering Small-Scale Seasonal Surface Dynamics of Rock Glaciers in the Central European Alps Using DInSAR Time Series S. Buchelt et al. 10.3390/rs15122982
Latest update: 14 Dec 2024
Short summary
The simple use of time-lapse cameras as a visual observation tool may already be a great help for environmental investigations. However, beyond that, they have the potential to also deliver precise measurements with high temporal and spatial resolution when applying appropriate processing techniques. In this paper we introduce a method for the determination of glacier motion fields from time-lapse images, but it might also be adapted for other environmental motion analysis tasks.
The simple use of time-lapse cameras as a visual observation tool may already be a great help...
