Vivien Zahs

Vivien Zahs
Universität Heidelberg · 3DGeo Research Group; Institute of Geography

Master of Science

About

12
Publications
2,242
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53
Citations

Publications

Publications (12)
Article
Full-text available
Point clouds derived from UAV-borne laser scanning and UAV-borne photogrammetry provide new opportunities for 3D topographic monitoring in geographic research. The airborne acquisition strategy overcomes common challenges of ground-based techniques, such as limited spatial coverage or heterogeneous measurement distribution, and allows flexible repe...
Conference Paper
Full-text available
We analyse surface change by using ULS and DIM point clouds of 2019 and 2021 as input for two state-of-the-art methods for pairwise surface change analysis: (1) The Multiscale Model to Model Cloud Comparison (M3C2) algorithm and (2) a recent M3C2-based approach (CD-PB M3C2) using plane correspondences to reduce the uncertainty of quantified change....
Conference Paper
Full-text available
Virtual Laser Scanning (VLS) provides a remote sensing method to generate 3D point clouds, which can, in certain cases, replace real data acquisition. A prerequisite is a suitable substitute of reality for modelling the 3D scene, the scanning system, the platform, the laser beam transmission, the beam-scene interaction, and the echo detection. The...
Conference Paper
Full-text available
Virtual Laser Scanning (VLS) provides a remote sensing method to generate 3D point clouds, which can, in certain cases, replace real data acquisition. A prerequisite is a suitable substitute of reality for modelling the 3D scene, the scanning system, the platform, the laser beam transmission, the beam-scene interaction, and the echo detection. The...
Article
The analysis and interpretation of 3D topographic change requires methods that achieve low uncertainties in change quantification. Many recent geoscientific studies that perform point cloud-based topographic change analysis have used the Multiscale Model to Model Cloud Comparison (M3C2) algorithm to consider the associated uncertainty. Change measu...
Article
Point clouds continue to be acquired with greater accuracy and less occlusion over complex scenes, characterised by high roughness and topographic variation in all three dimensions. The most widely adopted approach to change detection, M3C2, measures change along the local surface normal, which varies between points and bypasses the uncertainties i...
Article
Full-text available
Topographic change at a given location usually results from multiple processes operating over different timescales. However, interpretations of surface change are often based upon single values of movement, measured over a specified time period or in a single direction. This work presents a method to help separate surface change types that occur at...
Article
Full-text available
An efficient alternative to labour-intensive terrestrial and costly airborne surveys is the use of small, inexpensive Unmanned Aerial Vehicles (UAVs) or Remotely Piloted Aerial Systems (RPAS). These low-altitude remote sensing platforms, commonly known as drones, can carry lightweight optical and LiDAR sensors. Even though UAV systems still have li...
Preprint
Full-text available
Topographic change at a given location usually results from multiple processes operating over different timescales. However, interpretations of surface change are often based upon single values of movement, measured over a specified time period and in a single direction. This work presents a method to help separate surface change mechanisms related...
Article
Change analysis of rock glaciers is crucial to analyzing the adaptation of surface and subsurface processes to changing environmental conditions at different timescales because rock glaciers are considered as potentially unstable slopes and solid water reservoirs. To quantify surface change in complex surface topographies with varying surface orien...

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Projects

Projects (4)
Project
Project website: www.uni-heidelberg.de/virtualearn3d The main aim of this project is to advance the concept of virtual laser scanning to tackle the lack of training data to enable powerful machine learning algorithms for geographic point cloud analysis. This proposed methodological step will push large-scale usage of VLS simulations for machine learning and opens up completely new fields of applications. Related project: https://www.researchgate.net/project/HELIOS-Heidelberg-LiDAR-Operations-Simulator The project is funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation). Project number: 496418931.
Project
Project website: www.uni-heidelberg.de/loki Related blog posts: http://k1z.blog.uni-heidelberg.de/tag/LOKI/ Twitter: https://twitter.com/search?q=LOKI%2C%20BMBF&src=typd&lang=de The aim of the LOKI project is to develop an interdisciplinary system that enables fast and reliable airborne situation assessments following an earthquake. A central focus is the timely overview and detailed recording of the damage to critical infrastructures. The objectives will be met by combining existing expertise in earthquake research with a variety of new technologies and concepts, including machine learning, crowdsourcing, Unmanned Aerial Vehicles and 3D monitoring. The project is funded by the Federal Ministry for Education and Research (BMBF). Funding code: 03G0890A.
Project
Project website: https://uni-heidelberg.de/ahk-4d Related blog posts: http://k1z.blog.uni-heidelberg.de/tag/AHK4D/ The aim of this project is to develop a methodology to quantify the magnitudes and frequencies of individual surface change processes of a rock glacier over several years. We do this by analyzing three dimensional (3D) surface change based on high-resolution, high-frequency and multisource LiDAR data. The derived information will enable us to develop methods to automatically characterize and disaggregate multiple processes and mechanisms that contribute to surface change signals derived from less frequent monitoring (e.g. yearly). Such methods can enhance our general understanding of the spatial and temporal variability of rock glacier deformation and the interaction of rock glaciers with connected environmental systems.