Tag: geology
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Validation of fracture data recognition in rock masses by automated plane detection in 3D point clouds
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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Third Workshop on “3D Field Methods in Geosciences”
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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Four contributions from GIScience Heidelberg at the ISPRS Congress in Prague
The LiDAR Research Group (LRG) of GIScience Heidelberg is contributing novel approaches for geological outcrop characterization, LiDAR simulation, tree classification as well as education in close-range sensing. You are kindly invited to visit our presentations at the ISPRS Congress 2016 in Prague. Furthermore our new HELIOS LiDAR Simulator will participate in the CATCON contest for…
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LiDAR Processing Short Course – Combining 3D Laser Scanning with Geological Research
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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Multi-Sensor Survey of Limestone Quarry
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…