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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-2-2024
https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-363-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-363-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
11 Jun 2024
| 11 Jun 2024
Multimedia Photogrammetry with non-planar Water Surfaces – Accuracy Analysis on Simulation Basis
Hannes Sardemann
Institute of Photogrammetry and Remote Sensing, TUD Dresden University of Technology, Germany
Christian Mulsow
Institute of Photogrammetry and Remote Sensing, TUD Dresden University of Technology, Germany
Laure-Anne Gueguen
Department of Geodesy and Geoinformation, TU Wien, Austria
Gottfried Mandlburger
Department of Geodesy and Geoinformation, TU Wien, Austria
Hans-Gerd Maas
Institute of Photogrammetry and Remote Sensing, TUD Dresden University of Technology, Germany
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Short summary
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An automatic workflow is introduced to measure surface flow velocities in rivers. The provided tool enables the measurement of spatially distributed surface flow velocities independently of the image acquisition perspective. Furthermore, the study illustrates how river discharge in previously ungauged and unmeasured regions can be retrieved, considering the image-based flow velocities and digital elevation models of the studied river reach reconstructed with UAV photogrammetry.
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Short summary
Short summary
An automatic workflow is introduced to measure surface flow velocities in rivers. The provided tool enables the measurement of spatially distributed surface flow velocities independently of the image acquisition perspective. Furthermore, the study illustrates how river discharge in previously ungauged and unmeasured regions can be retrieved, considering the image-based flow velocities and digital elevation models of the studied river reach reconstructed with UAV photogrammetry.
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M. Cramer, N. Haala, D. Laupheimer, G. Mandlburger, and P. Havel
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C. Mulsow, R. Kenner, Y. Bühler, A. Stoffel, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 739–744, https://doi.org/10.5194/isprs-archives-XLII-2-739-2018, https://doi.org/10.5194/isprs-archives-XLII-2-739-2018, 2018
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H. Sardemann, A. Eltner, and H.-G. Maas
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E. Watson, H.-G. Maas, F. Schäfer, and S. Hiermaier
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F. Liebold and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 193–200, https://doi.org/10.5194/isprs-annals-IV-2-193-2018, https://doi.org/10.5194/isprs-annals-IV-2-193-2018, 2018
D. Lin, A. Eltner, H. Sardemann, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 201–208, https://doi.org/10.5194/isprs-annals-IV-2-201-2018, https://doi.org/10.5194/isprs-annals-IV-2-201-2018, 2018
Ellen Schwalbe and Hans-Gerd Maas
Earth Surf. Dynam., 5, 861–879, https://doi.org/10.5194/esurf-5-861-2017, https://doi.org/10.5194/esurf-5-861-2017, 2017
Short summary
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.
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G. Mandlburger, K. Wenzel, A. Spitzer, N. Haala, P. Glira, and N. Pfeifer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 259–266, https://doi.org/10.5194/isprs-annals-IV-2-W4-259-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-259-2017, 2017
C. Mulsow, H.-G. Maas, and B. Hentschel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 85–91, https://doi.org/10.5194/isprs-archives-XLI-B5-85-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-85-2016, 2016
G. Mandlburger, M. Pfennigbauer, M. Wieser, U. Riegl, and N. Pfeifer
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Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org