Articles | Volume 6, issue 2
https://doi.org/10.5194/esurf-6-303-2018
https://doi.org/10.5194/esurf-6-303-2018
Research article
 | 
16 Apr 2018
Research article |  | 16 Apr 2018

Identification of stable areas in unreferenced laser scans for automated geomorphometric monitoring

Daniel Wujanz, Michael Avian, Daniel Krueger, and Frank Neitzel

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Cited articles

Adams, M., Gleirscher, E., and Gigele, T.: Automated Terrestrial Laser Scanner Measurements of Small-Scale Snow Avalanches, Proc. Intern. Snow Science Workshop Grenoble–Chamonix MontBlanc, 2013. 
Aiger, D., Mitra, N. J., and Cohen-Or, D.: 4-points congruent sets for robust pairwise surface registration, ACM T. Graphic, 27, 85–95, https://doi.org/10.1145/1399504.1360684, 2008. 
Al-Manasir, K. and Lichti, D.: Self–Calibration of a Leica HDS7000 Scanner, Proc., FIG Working Week, International Federation of Surveyors, Copenhagen, Denmark, 2015. 
Anderson, J. and Bausch, C.: Climate Change and Natural Disasters: Scientific Evidence of a Possible Relation Between Recent Natural Disasters and Climate Change, Requested study on behalf of the European Parliament's Environment, Public Health and Food Safety Committee, 2006. 
Avian, M., Lieb, G. K., and Kaufmann, V.: Recent and Holocene dynamics of a rock glacier system – the example of Langtalkar (Central Alps, Austria), Norsk Geogr. Tidsskr., 59, 1–8, 2005. 
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Short summary
The importance of increasing the degree of automation in the context of monitoring natural hazards or geological phenomena is apparent. A vital step in the processing chain of monitoring deformations is the transformation of captured epochs into a common reference systems. This led to the motivation to develop an algorithm that realistically carries out this task. The algorithm was tested on three different geomorphic events while the results were quite satisfactory.