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Tag Archive 'outcrop'

Digital outcrop models provide a powerful data basis to obtain orientation information on rock masses. Robust and transferrable automatic methods are required to process and analyze these data, as outcrops and hence acquired 3D point clouds are influenced by varying conditions depending e.g., on the site, atmospheric conditions and other factors. A crucial aspect in [...]

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The third workshop on 3D methods in geological applications was jointly organized by the University of Göttingen, the Geological Service of North Rhine-Westphalia (NRW, German federal state), and the 3D Geo Research Group at Heidelberg University. The workshop is an event of the initiative “3D Field Methods in Geosciences”, which provides a platform to connect [...]

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As we mentioned earlier, we contributed four papers to the ISPRS congress and participated in the CATCON contest for brilliant Computer Assisted Teaching tools. Our new LiDAR Simulator called HELIOS developed by Sebastian Bechtold received a lot of attention. You can also find us in this video of congress day 3.

Our young researchers Katharina, Sebastian [...]

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Following up on the joint field trip to the Peloponnese in Greece this spring, the GIScience Group, welcomed Lisa Bingham and Andreas Habel, two scientists from the University of Stavanger, Department of Petroleum Engineering, for a two-day workshop (Dec 9 and 10, 2015) on LiDAR processing. The main objective of the LiDAR workshop was to [...]

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Our students learned how multiple 3D geodata sensor systems (LiDAR, UAVs, GNSS) can be used to capture and analyze the geomorphology and geology of one of the most exciting geological areas, the Peloponnese in Greece. Together with the geology students from the University of Stavanger more than 30 young researchers explored the area around the [...]

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Researchers of the GIScience group (Institute of Geography, University of Heidelberg) captured parts of the limestone quarry of HeidelbergCement in Nussloch near Heidelberg in cooperation with the Unmanned Aerial Systems (UAS) developing company MAVinci.
The aim of analysing the data is to find a cost-effective, time-saving but precise method to survey a quarry, including volume [...]

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