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.
Latest News (RSS Feed)
In close collaboration with the 3DGeo Research Group, Moritz Bruggisser of the Department of Geodesy and Geoinformation (RG Photogrammetry) presented his current research progress on the impact of acquisition patterns on the robustness and accuracy of tree models derived from UAV LiDAR for forest dynamic studies. His work fits well into the scope of the SYSSIFOSS [...]
From 4-5 December 2019, the 2nd International Workshop Point Cloud Processing was co-organized by euroSDR, the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF) and the Institute for Photogrammetry (ifp) at the University of Stuttgart. The aim of the workshop was to present and discuss the processing and evaluation of [...]
How can surface change processes be detected and delineated in large time series of 3D point clouds? A paper on the extraction of 4D objects-by-change has just been published in the ISPRS Journal of Photogrammetry and Remote Sensing. It presents an automatic method for 4D change analysis that includes the temporal domain by using [...]
On November 12-13, Jannika Schäfer from KIT presented the SYSSIFOSS project at the 2nd symposium on satellite-based earth obersvation (2. Symposium zur angewandten Satellitenerdbeoachtung) in Cologne. SYSSIFOSS is a joint project between the Institute of Geography and Geoecology (IFGG) of the Karlsruhe Institute of Technology (KIT) and the 3DGeo Research Group of Heidelberg University. In this project [...]
Rockfalls commonly exhibit power law volume-frequency distributions, where fewer large events are observed relative to more numerous small events. Within most inventories, the smallest rockfalls are the most difficult to detect and so may not be adequately represented. [...]
With the publication of the final report, the PermaSAR project is concluded. In the blink of an eye regarding timescales of permafrost monitoring, research within the project period covered diverse methods and analyses around the topic of permafrost and related thaw subsidence in Arctic tundra landscapes. The report (in German) provides all details on the work [...]
Die Anmeldung für die DGPF-Jahrestagung 2020, 4.-6. März 2020 in Stuttgart, ist ab sofort hier möglich: https://www.conftool.net/dgpf2020/index.php?page=login Gruppen von Studis ab 10 Personen bekommen einen Sondertarif! Deadline für die Einreichung von Beiträgen ist am 31. Oktober 2019 - also bald. Wir würden uns über spannende Beiträge im Bereich der Geoinformatik für die Sitzung des AK Geoinformatik::Methodik freuen.
A new tutorial for the 3DGeo’s LiDAR simulation software HELIOS has been posted to the repository’s wiki page. It shows a simple way to generate scenes of real landscapes including building and vegetation models as well as terrain from NASA JPL’s SRTM data. When applied to OSM data in the city of Vienna, the obtained 3D [...]
In a new publication, we show how deep neural networks can be used in an end-to-end manner for the classification of 3D point clouds from airborne laser scan data. The research, based on the award-winning diploma thesis of Lukas Winiwarter at TU Wien, has now been published in “PFG - Photogrammetrie, Fernerkundung, Geoinformation“, the Journal [...]
Within the BMBF-funded project ER3DS (Emission Reduction in Smart Cities Using 3D Spatial Sensing and Analysis) a second workshop and exchange visit was organized and hosted by the National Cheng Kung University (NCKU) in Tainan, Taiwan, from 16 September to 19 September 2019. The first day included two lectures at the Dept. of Geomatics (Prof. Wang), [...]