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Earth Surface Dynamics An interactive open-access journal of the European Geosciences Union

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https://doi.org/10.5194/esurf-2017-41
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
17 Jul 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth Surface Dynamics (ESurf).
Identification of stable areas in unreferenced laser scans for automated geomorphometric monitoring
Daniel Wujanz1, Michael Avian2, Daniel Krueger3, and Frank Neitzel1 1Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, Berlin, 10623, Germany
2Austrian Institute of Technology GmbH, Tulln, 3430, Austria
3GFaI – Society for the Advancement of Applied Computer Science, Berlin, 12489, Germany
Abstract. Current research questions in the field of geomorphology focus on the impact of climate change on several processes causing subsequently natural hazards. Geodetic deformation measurements are a suitable tool to document such geomorphic mechanisms e.g. under the use of terrestrial laser scanners that capture a region of interest in a quasi-laminar fashion which results in a so-called 3D point cloud. In this context the central problem is linked to the transformation of 3D point clouds captured at different points in time (epochs) into a common reference coordinate system. To date, this step has been carried out by usage of artificial targets and/or control points. Several drawbacks are related to this strategy such as the enormous effort to distribute the targets in object space, the required survey by additional geodetic sensors such as total stations or GNSS-receivers as well as the limited extent within the region of interest. In this contribution a surface-based registration methodology, termed the iterative closest proximity algorithm (ICProx), that solely uses points as input, similar to the iterative closest point-algorithm (ICP), and hence does not require any artificial targets or extracted geometric primitives, such as planes. The aim of this study was to automatically determine deformations that occurred at a rock glacier, an ice glacier as well as in a rock fall area. For every example two epochs were processed while the ICProx-algorithm’s classification accuracy is 70 % on average.

Citation: Wujanz, D., Avian, M., Krueger, D., and Neitzel, F.: Identification of stable areas in unreferenced laser scans for automated geomorphometric monitoring, Earth Surf. Dynam. Discuss., https://doi.org/10.5194/esurf-2017-41, in review, 2017.
Daniel Wujanz et al.
Daniel Wujanz et al.
Daniel Wujanz et al.

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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 lead to the motivation to develop an algorithm that realibly carries out this task. The algorithm was tested on three different geomorphic events while the results were quite satisfactory.
The importance of increasing the degree of automation in the context of monitoring natural...
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