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J. Paffenholz, B. Steinhoff-Knopp, C. Harmening:
"3D Point Cloud Based Spatio-Temporal Monitoring of Natural Objects";
Talk: FIG Working Week 2021, Niederlande (invited); 2021-06-20 - 2021-06-25; in: "FIG Working Week 2021 20-25 June Smart Surveyors for Land and Water Management Challenges in a new Reality", FIG (ed.); (2021), 14 pages.

This paper deals with the research field of 3D point cloud based spatio-temporal monitoring focussed on natural objects. The 3D point clouds discussed here are predominantly acquired by means of laser scanners. The main characteristic of terrestrial laser scanners is their surfacebased data acquisition, resulting in a 3D point cloud with typically millions of threedimensional individual points along with at least intensity information and optional color information. This data allows for solving classical questions of monitoring and also to address new questions and monitoring applications, especially in the domain of natural, unstructured objects of different scales. Next to a literature review, starting from the challenges and new
chances by the 3D point cloud based monitoring and showing exemplarily applications, we briefly introduce methods to approximate 3D point clouds with the aim to analyse soil erosion scenes. Afterwards, we highlight some results of self-conducted laboratory experiments to
investigate soil erosion scenes with the focus on the quantification of soil erosion volumes. Therefore, we apply a GIS-based semi-automated identification of the soil erosion feature and its volume calculation. The aim of the approach presented here is to investigate the application of B-splines for the approximation of soil surfaces, and to identify methods and indicators with the potential to contribute to the process of fully automated volume determination of erosion features. Our results for the volume determination are compared with classical methods and show a promising correspondence.

B-splines, Deformation measurement; Engineering survey; Laser scanning; Soil erosion