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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-3
https://doi.org/10.5194/isprs-archives-XLII-3-15-2018
© 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-3-15-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 Apr 2018
| 30 Apr 2018
PROVIDING DATA QUALITY INFORMATION FOR REMOTE SENSING APPLICATIONS
F. Albrecht
Dept. of Geoinformatics, University of Salzburg, Austria
T. Blaschke
Dept. of Geoinformatics, University of Salzburg, Austria
S. Lang
Dept. of Geoinformatics, University of Salzburg, Austria
H. M. Abdulmutalib
Dubai Municipality, Dubai, UAE
G. Szabó
Department of Photogrammetry and Geoinformatics Budapest University of Technology and Economics, Budapest, Hungary
Department of Photogrammetry and Geoinformatics Budapest University of Technology and Economics, Budapest, Hungary
C. Batini
University of Milano-Bicocca, Italy
A. Bartsch
Austrian Polar Research Institute, Austria
Zs. Kugler
Department of Photogrammetry and Geoinformatics Budapest University of Technology and Economics, Budapest, Hungary
D. Tiede
Dept. of Geoinformatics, University of Salzburg, Austria
G. Huang
Chinese Academy of Surveying and Mapping, Beijing, China
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Comprehensive and sustainable landslide management, including identification of landslide-susceptible areas, requires a lot of organisations and people to collaborate efficiently. In this study, we propose a concept for a system that provides users with a platform to share the location of landslide events for further collaboration in Nepal. The system can be beneficial for specifying potentially risky regions and consequently, the development of risk mitigation strategies at the local level.
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V. Potó, A. Csepinszky, and Á. Barsi
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Á. Barsi, Zs. Kugler, I. László, Gy. Szabó, and H. M. Abdulmutalib
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Q. Kang, G. Huang, and S. Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 719–722, https://doi.org/10.5194/isprs-archives-XLII-3-719-2018, https://doi.org/10.5194/isprs-archives-XLII-3-719-2018, 2018
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Nat. Hazards Earth Syst. Sci., 18, 583–597, https://doi.org/10.5194/nhess-18-583-2018, https://doi.org/10.5194/nhess-18-583-2018, 2018
Short summary
Short summary
The present study demonstrates the application of drones and terrestrial laser scanner in stability assessment of steep, hardly accessible rock slopes that can endanger human lives. These technologies can be deployed very quickly, but data processing requires time. For reliable hazard evaluation, besides these techniques, engineering geological field work, laboratory tests of the mechanical properties of rocks and computer simulations are also necessary.
N. Rehany, A. Barsi, and T. Lovas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 213–220, https://doi.org/10.5194/isprs-archives-XLII-2-W8-213-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-213-2017, 2017
J. Zhao, G. Huang, and J. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1043–1047, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1043-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1043-2017, 2017
F. Albrecht, D. Hölbling, and B. Friedl
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 439–446, https://doi.org/10.5194/isprs-archives-XLII-2-W7-439-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-439-2017, 2017
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 447–453, https://doi.org/10.5194/isprs-archives-XLII-2-W7-447-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-447-2017, 2017
T. Blaschke, S. Lang, D. Tiede, M. Papadakis, and A. Györi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 879–882, https://doi.org/10.5194/isprs-archives-XLI-B7-879-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-879-2016, 2016
Olaf Kranz, Elisabeth Schoepfer, Kristin Spröhnle, and Stefan Lang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 891–896, https://doi.org/10.5194/isprs-archives-XLI-B7-891-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-891-2016, 2016
Hussein Abdulmuttalib
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 79–83, https://doi.org/10.5194/isprs-archives-XLI-B4-79-2016, https://doi.org/10.5194/isprs-archives-XLI-B4-79-2016, 2016
A. Barsi, T. Lovas, B. Molnar, A. Somogyi, and Z. Igazvolgyi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 465–468, https://doi.org/10.5194/isprs-archives-XLI-B3-465-2016, https://doi.org/10.5194/isprs-archives-XLI-B3-465-2016, 2016
E. Wirth, G. Szabó, and A. Czinkóczky
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 491–495, https://doi.org/10.5194/isprs-archives-XLI-B2-491-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-491-2016, 2016
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