3D Geospatial Data Processing Group
3D Geospatial Data Processing (3DGeo) Research Group
We investigate the extraction of geoinformation from 3D/4D geodata (predominantly point clouds), which were acquired with cutting-edge Earth observation technology (e.g. 3D laser scanning, photogrammetry and SAR). Emphasis is put on the exploitation of multitemporal geographic 3D data, which enables near real-time 3D/4D mapping and observation. A major focus lies on the development of computational methods for 3D/4D geospatial data processing and analysis by making use of the full sensor data streams (e.g. LiDAR backscatter). It is aimed at increasing the understanding of geographical phenomena. Our methods and tools are applied to multi- and interdisciplinary research questions in the broad field of Digital and Computational Environmental Sciences. This covers landscapes dominated by physical processes (e.g. geomorphology), man-made landscapes (e.g. renewable energies) and strong human-environmental interactions (e.g. agriculture, natural hazards, health and geoarchaeology). Our research sites are spread all over the world: we perform in-situ measurements, program in the lab and simulate Earth observation in virtual environments.
Please check our recent publications, latest talks and running research projects for further details. If you are interested in joining the 3DGeo Group as a student assistant, intern, PhD student or senior researcher, please check our latest job postings.
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From their beginnings some 4,000 years ago to their decadence around 400 b.c., the Olmec people achieved a high level of sociopolitical complexity and dominated their native geographic territory, the southern Gulf Coast of Mexico. The first Olmec capital of San Lorenzo, Veracruz, was the only site in Mesoamerica that produced [...]
Three invited speakers are now joining the compact course and workshop STAP19 on Spatial and Temporal Analysis of Geographic Phenomena organized by the 3DGeo and FCGL at IWR in Heidelberg. Dr. Gottfried Mandlburger (Institute for Photogrammetry, University of Stuttgart) will give a talk on methods of feature and information extraction from geographic 3D point clouds. He [...]
As part of the lecture “Geodatenerfassung”, geography students in their first semester turned theory of digital geodata acquisition into practice. Based on their aims and requirements, the students acquired geodata with different methods and sensors. Using a high-end Riegl VZ-2000i terrestrial laser scanner, two groups captured the old town of Heidelberg and a limestone [...]
A series of video tutorials of GigaMesh has recently become available on YouTube. GigaMesh is a software framework for displaying, processing and visualizing large meshes of 3D spatial data representing 2D surfaces. The most recent tutorial by Paul Bayer and Hubert Mara presents a rapid method of hillshading for a geospatial dataset. The video shows the [...]
Call for Abstracts: 4th PhD Colloquium on “Deep Learning in Photogrammetry, Remote Sensing and Geospatial Information Processing” May 15-16, 2019 in Rostock The Division on Geoinformatics (Abteilung Geoinformatik) of the German Geodetic Commission (Deutsche Geodätische Kommission, DGK) and the Working Group on Geoinformatics (Arbeitskreis Geoinformatik) of the German Society for Photogrammetry, Remote Sensing and Geoinformation (Deutsche Gesellschaft [...]
From 01-04 April 2019, the 3DGeo and FCGL research groups are organizing a compact course and workshop on Spatial and Temporal Analysis of Geographic Phenomena (STAP19) at the Interdisciplinary Center for Scientific Computing (IWR, Heidelberg University). The course will teach participants state-of-the-art methods of 3D spatial data processing and analysis with a focus on spatial and [...]
Airborne light detection and ranging (LiDAR) data provides reliable information on forest structure. Related forest inventory approaches recently evolved into operational tools. Today, further optimization of existing approaches is pursued to ensure high data quality of the inventory information and cost-efficiency over varied environmental and silvicultural conditions. Synthetic LiDAR data has been suggested as useful [...]
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 [...]
ER3DS makes cities smarter by emission reduction using 3D spatial sensing and analysis In the new project on Emission Reduction in Smart Cities Using 3D Spatial Sensing and Analysis (ER3DS) the combination of energy modeling, highly detailed 3D geographic sensing and computation will allow us to reveal a completely new picture of the current energy situation [...]
The deadline for registration for our Innsbruck Summer School of Alpine Research 2019 is approaching (deadline: 30 November 2018). If you are PhD or Master student and you want to learn most recent close-range sensing technology from leading experts in an amazing environment and venue, the Ötztal Alps in Austria, you should [...]