Category: 3D
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Introducing the VirtuaLearn3D Project
With VirtuaLearn3D (Virtual Laser Scanning for Machine Learning Algorithms in Geographic 3D Point Cloud Analysis), a new project of the 3DGeo group has started. The focus of this project is to enable powerful machine learning algorithms for geographic point cloud analysis by advancing the concept of virtual laser scanning to overcome the lack of training […]
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CharAct4D – Unravelling Landscape Dynamics via Automatic Characterization of Surface Activity using Geographic 4D Monitoring
With her new project CharAct4D Dr. Katharina Anders has become part of the Eliteprogramme for Postdocs of the Baden-Württemberg Stiftung, which supports early career researchers to qualify for a professorship -check the related press release by Heidelberg University. Many congratulations, Katharina! Katharina’s research interests in the 3DGeo research group are method development for 3D/4D change analysis […]
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Data publication: Point clouds of snow-on and snow-off forest site
A new dataset of UAV and terrestrial laser scanning point clouds of snow-on and snow-off conditions at a Black Forest site (Hundseck, 48.643°N, 8.228°E) was published open access: Winiwarter, L., Anders, K., Battuvshin, G., Menzel, L. & Höfle, B. (2023): UAV laser scanning and terrestrial laser scanning point clouds of snow-on and snow-off conditions of […]
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New paper on the automatic characterization of surface activities from 4D point clouds
An approach for automatic characterization of surface activities from large 4D point clouds is presented in a new paper by Daan Hulskemper et al. in collaboration between the 3DGeo research group and the departments of Geoscience and Remote Sensing and Coastal Engineering at TU Delft. Hulskemper, D., Anders, K., Antolínez, J. A. Á., Kuschnerus, M., […]
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Open Data: Multi-platform point clouds and orthophotos of the inland dune in Sandhausen
The commune Sandhausen (Baden-Württemberg) got its name from the inland dune, which is located in the area of the village. In 2021 and 2022, the 3DGeo group of Heidelberg University conducted UAV-based and ground-based surveys of three areas of the inland dune of Sandhausen to acquire 3D point clouds and orthophotos. The dataset is freely and […]
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Improved Performance of HELIOS++ using High Performance Computing Techniques
The software HELIOS++ simulates the laser scanning of a given virtual scene that can be composed of different spatial primitives and 3D meshes with distinct granularity. The high computational cost of this type of simulation software demands efficient computational solutions. Classical solutions based on GPU are not well suited when irregular geometries compose the scene […]
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New(s) story about Sensing Mountains Summer School 2022
The fourth edition of the Innsbruck Summer School of Alpine Research took place in September 2022, finally back in the lovely mountain landscape of the Ötztal valley in Tyrol, Austria. Once again, 40 participants – young researchers from all over the world – gathered in Obergurgl to learn and exchange about new concepts and solutions […]
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New paper: Capturing complex star dune dynamics – repeated highly accurate surveys combining multitemporal 3D topographic measurements and local wind data
Morphologies of highly complex star dunes are the result of aeolian dynamics in past and present times. These dynamics reflect climatic conditions and associated forces like sediment availability and vegetation cover, as well as feedbacks with adjacent environments. However, an understanding of aeolian dynamics on star dune morphometries is still lacking sufficient detail, and their […]
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Human-in-the-loop development of spatially adaptive ground point filtering pipelines — An archaeological case study
LiDAR data have become indispensable for research in archaeology and a variety of other topographic applications. To derive products (e.g. digital terrain or feature models, individual trees, buildings), the 3D LiDAR points representing the desired objects of interest within the acquired and georeferenced point cloud need to be identified. This process is known as classification, […]
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Continued multisource 3D point cloud acquisition at the AHK rock glacier
While the impacts of global warming and current heat waves on glaciated areas have been in the focus of media reporting in recent weeks, also the dynamics of rock glaciers as part of the periglacial environment are strongly affected by changing climate. Rock glaciers are creep phenomena of mountain permafrost and an integral part of […]
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Open GIScience PostDoc positions on understanding the relationships between “Urban nature experience, biodiversity and mental health”
We call for applications to postdoctoral positions within the Heidelberg Mannheim Health and Life Science Alliance “Innovation Campus” for Inter-institutional project. The Central Institute of Mental Health (ZI), Prof. A. Meyer-Lindenberg, the GIScience Research Group at Heidelberg University (Prof. A. Zipf), the 3DGeo Group (Prof. B. Höfle); and the Department of Biodiversity and Plant Systematics […]
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Data description paper: Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests
New data description paper on our tree point cloud dataset was just published Today, our data description paper was published in the open access Journal Earth System Science Data: Weiser, H., Schäfer, J., Winiwarter, L., Krašovec, N., Fassnacht, F. E., and Höfle, B. (2022): Individual tree point clouds and tree measurements from multi-platform laser scanning […]