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Tag Archive '3DGEO'

If you missed the live stream, you can simply watch the lecture “Big Point Clouds == Deep Information? Current Progress in Geospatial 3D/4D Point Cloud Analysis” on the CiTiUS Youtube Channel, University of Santiago de Compostela, here: https://www.youtube.com/watch?v=5Wb4ozyTGVg

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The Centro Singular de Investigación en Tecnoloxías da Información - CiTIUS of the University of Santiago de Compostela (Prof. Rivera) is hosting a workshop on 27 September 2018, which is dedicated to the current research progress in LiDAR data analysis and shall bring together academic research and industry.

Prof. Bernhard Höfle, head of the 3DGeo [...]

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On Wednesday, Roderik Lindenbergh from TU Delft (NL) gave an exciting talk on robust geometry extraction in large spatial point clouds in the frame of the IWR colloquium at the Interdisciplinary Center for Scientific Computing. With focus on robust and novel methods of geoinformation extraction from these special datasets, the audience was taken on a [...]

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This morning, the Rhein-Neckar-Zeitung (RNZ) published an article (in German) about our research on 4D LiDAR for snow cover monitoring. The angle for the article by Doris Burger is the Environmental Research Station Schneefernerhaus near the summit of the Zugspitze, where members of the 3DGeo recently acquired a highly temporal 3D time series dataset of [...]

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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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Heidelberg University invites applications for one full-time PhD student and one Senior Researcher (Postdoc) for “Geographic 3D Point Cloud Analysis” in the 3D Geospatial Data Processing Group (Prof. B. Höfle) at the Department of Geography. The 3DGeo group is also affiliated with two research centers – the Interdisciplinary Center for Scientific Computing (IWR) and the [...]

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… by acquiring data only when and where changes occur.
In this project on Autonomous 3D Earth Observation of Dynamic Landscapes (Auto3Dscapes), a novel strategy of permanent 3D observation will be developed incorporating observed topographic changes as feedback and dynamically adapting the acquisition parameters and analysis methods.
Permanent 3D Earth observation is currently challenged by the strong [...]

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The Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg University is a leading institution in research and education in scientific computing in a multitude of interdisciplinary topics - covering science, engineering and humanities. Computational methods are a very important foundation in GIScience / Geoinformatics with particular focus on the investigation of geospatial data and geospatial [...]

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