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Search Results for 'Auto3dscapes'

Namibia is a dry and low populated country highly dependent on agriculture, with many areas experiencing land degradation accelerated by climate change. One of the most obvious and damaging manifestations of these degradation processes are gullies, which lead to great economic losses while accelerating desertification.
The development of standardized methods to [...]

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Can you imagine how much sand is being moved on the beach in the course of a week? Did you ever observe truckloads of sand being transported on the beach in the absence of storms and bulldozers? It is hardly possible to estimate to the naked eye, but can be quantified with permanent terrestrial laser [...]

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A paper investigating the relevance of (pre-calculated) features for 3D point cloud classification using deep learning was just published in the ISPRS Annals of Photogrammetry and Remote Sensing.
The study presents a non-end-to-end deep learning classifier for 3D point clouds using multiple sets of input features and compares it with an implementation of the state-of-the-art [...]

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On 14th and 15th May, our 3DGeo group members Bernhard Höfle and Lukas Winiwarter were co-organizing and participating in the 4th colloquium for PhD students working on the topic of Deep Learning and its applications in Photogrammetry, Remote Sensing and Geoinformation Processing of the Deutsche Geodätische Kommission (DGK) and the Deutsche Gesellschaft für Photogrammetrie und [...]

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How does a sandy beach naturally restore after a storm event? Invaluable information on this process is provided by a highly temporal (hourly) time series of 3D point cloud data acquired over several months at the beach of Kijkduin (NL). The permanent LiDAR system is operated by a team of TU Delft researchers in the [...]

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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 all-new terrestrial laser scanner (TLS) of the 3DGeo group (Prof. Bernhard Höfle) has been set up at the Environmental Research Station Schneefernerhaus over one week (mid of April 2018) to capture a unique highly temporal time series of the melting and degrading snow cover during the April’s week with the warmest daily maximum temperatures [...]

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Point clouds and our 3DGeo research in Heidelberg are going beyond 3D, such as the new research project Auto3Dscapes.
A detailed analysis of this research frontier has been published in Eitel, Höfle et al. (2016): Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences. The paper has just become a highly cited [...]

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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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