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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume V-2-2020
https://doi.org/10.5194/isprs-annals-V-2-2020-671-2020
© Author(s) 2020. 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-annals-V-2-2020-671-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
03 Aug 2020
COMPARISON OF SUBAQUATIC DIGITAL ELEVATION MODELS FROM AIRBORNE LASER SCANNING AND IMAGERY
C. Mulsow
Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Germany
G. Mandlburger
Department of Geodesy and Geoinformation, TU Wien, Austria
Institute of Photogrammetry, University of Stuttgart, Germany
H.-G. Maas
Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Germany
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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.
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
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 933–939, https://doi.org/10.5194/isprs-archives-XLI-B1-933-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-933-2016, 2016
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