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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-1
https://doi.org/10.5194/isprs-archives-XLII-1-275-2018
© 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/isprs-archives-XLII-1-275-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
26 Sep 2018
| 26 Sep 2018
INVESTIGATING THE USE OF COASTAL BLUE IMAGERY FOR BATHYMETRIC MAPPING OF INLAND WATER BODIES
G. Mandlburger
University of Stuttgart, Institute for Photogrammetry, Germany
TU Wien, Department of Geodesy and Geoinformation, Austria
J. Kremer
IGI mbH, Kreuztal, Germany
F. Steinbacher
AirborneHydroMapping GmbH, Innsbruck, Austria
R. Baran
AirborneHydroMapping GmbH, Innsbruck, Austria
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 727–734, https://doi.org/10.5194/isprs-annals-V-2-2020-727-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-727-2020, 2020
G. Mandlburger, H. Lehner, and N. Pfeifer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 397–404, https://doi.org/10.5194/isprs-annals-IV-2-W5-397-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-397-2019, 2019
P. Glira, N. Pfeifer, and G. Mandlburger
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 567–574, https://doi.org/10.5194/isprs-annals-IV-2-W5-567-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-567-2019, 2019
G. Mandlburger and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 109–116, https://doi.org/10.5194/isprs-annals-IV-1-109-2018, https://doi.org/10.5194/isprs-annals-IV-1-109-2018, 2018
M. Cramer, N. Haala, D. Laupheimer, G. Mandlburger, and P. Havel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 115–120, https://doi.org/10.5194/isprs-archives-XLII-1-115-2018, https://doi.org/10.5194/isprs-archives-XLII-1-115-2018, 2018
R. Boerner, Y. Xu, L. Hoegner, R. Baran, F. Steinbacher, and U. Stilla
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 109–116, https://doi.org/10.5194/isprs-archives-XLII-2-109-2018, https://doi.org/10.5194/isprs-archives-XLII-2-109-2018, 2018
G. Mandlburger
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 659–666, https://doi.org/10.5194/isprs-archives-XLII-2-659-2018, https://doi.org/10.5194/isprs-archives-XLII-2-659-2018, 2018
G. Mandlburger, N. Pfeifer, and U. Soergel
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 123–130, https://doi.org/10.5194/isprs-annals-IV-2-W4-123-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-123-2017, 2017
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
Mikkel Skovgaard Andersen, Áron Gergely, Zyad Al-Hamdani, Frank Steinbacher, Laurids Rolighed Larsen, and Verner Brandbyge Ernstsen
Hydrol. Earth Syst. Sci., 21, 43–63, https://doi.org/10.5194/hess-21-43-2017, https://doi.org/10.5194/hess-21-43-2017, 2017
Short summary
Short summary
The transition zone between land and water is difficult to map due to shallow water depth and often challenging environmental conditions. Airborne topobathymetric lidar is capable of providing both topographic and bathymetric elevation information, resulting in a seamless coverage of the land–water transition zone. We present the processing and performance of topobathymetric lidar data along with a geomorphometric and morphological classification of landforms in a high-energy tidal environment.
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
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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