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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-4
https://doi.org/10.5194/isprs-archives-XLII-4-315-2018
© 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-4-315-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
19 Sep 2018
| 19 Sep 2018
TIME-RELATED QUALITY DIMENSIONS OF URBAN REMOTELY SENSED BIG DATA
Z. Kugler
Dept. of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, Hungary
G. Szabó
Dept. of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, Hungary
H. M. Abdulmuttalib
Dubai Municipality, Dubai, UAE
C. Batini
University of Milano-Bicocca, Italy
H. Shen
School of Resource and Environmental Sciences, Wuhan University, China
Dept. of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, Hungary
G. Huang
Chinese Academy of Surveying and Mapping, Beijing, China
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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.
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X. Meng, H. Shen, Q. Yuan, H. Li, and L. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 831–835, https://doi.org/10.5194/isprs-archives-XLII-2-W7-831-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-831-2017, 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
C. Batini, T. Blaschke, S. Lang, F. Albrecht, H. M. Abdulmutalib, Á. Barsi, G. Szabó, and Zs. Kugler
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
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
Xinxin Liu, Huanfeng Shen, Qiangqiang Yuan, Liangpei Zhang, and Qing Cheng
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-6, 57–61, https://doi.org/10.5194/isprs-annals-III-6-57-2016, https://doi.org/10.5194/isprs-annals-III-6-57-2016, 2016
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