Category: Publications
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Deep learning with simulated laser scanning data for 3D point cloud classification
Esmorís, A.M., Weiser, H., Winiwarter, L., Cabaleiro, J.C. & Höfle, B. (2024): Deep learning with simulated laser scanning data for 3D point cloud classification. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 215, pp. 192-213. DOI: 10.1016/j.isprsjprs.2024.06.018 3D point clouds acquired by laser scanning are invaluable for the analysis of geographic phenomena. To extract information…
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Evidence for Systematic Bias in the Spatial Memory of Large Language Models
Recent studies primarily view Large Language Models (LLMs) in geography as tools for linking natural language to geographic information systems. However, Roberts et al. (2023) demonstrated GPT-4’s inherent ability to perform spatial reasoning tasks without relying on external processing engines. This includes calculating the final destinations of routes based on initial locations, transport modes, directions,…
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VirtuaLearn3D: New Preprint
We have published a preprint of our recent work in the VirtuaLearn3D project! Deep learning with simulated laser scanning data for 3D point cloud classification Esmorís, A.M., Weiser, H., Winiwarter, L., Cabaleiro, J.C. & Höfle, B. (2024) Laser scanning is an active remote sensing technique to acquire state-of-the-art spatial measurements in the form of 3D…
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New paper on the potential of simulated laser scanning and field data to train forest biomass models
In great collaboration with colleagues from Karlsruhe (DE), Vienna (AT), Brno (CZ), Leipzig (DE), Raszyn (PL), and Berlin (DE), we published a paper investigating approaches to improve LiDAR-based biomass models when only limited sample plots with field data are available. The main work was carried out by PhD student Jannika Schäfer (IFGG, Karlsruhe Institute of…
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More food, more water, less carbon? Costs andbenefits of global land-use optimality
Re-arranging food production: How we could use the vegetation zones on our planet more efficiently Imagine we could almost double the amount of crops we grow on our planet, while at the same time increasing the freshwater supplies and carbon storage! Tell you what: We actually could, if we re-arranged the location of food production…
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New paper “Urban Heat Island Intensity Prediction in the Context of Heat Waves: An Evaluation of Model Performance”
Aner Martinez-Soto, Johannes Fürle and Alexander Zipf published the paper „Urban Heat Island Intensity Prediction in the Context of Heat Waves: An Evaluation of Model Performance“. It was presented at the 9th International Conference on Time Series and Forecasting in Gran Canaria, Spain, on 12th – 14th July 2023. Due to Climate Change urban heat…
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New Publication in “Nature Communication” on the unequal distribution of building data in OSM
Benjamin Herfort and his colleagues Sven Lautenbach, João Porto de Albuquerque, Jennings Anderson and Alexander Zipf published an article in the renowned journal Nature Communications (Impact Factor 2023: 17.7). In their article, they address the uneven distribution of OpenStreetMap data worldwide, which can have an impact on research results and humanitarian operations. They provide solutions…
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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…