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)
No place for climate change: A recent transdisciplinary study on the viability of public spaces in cities under increasing heat was featured in the official Heidelberg University Newsroom (English version here). The study has been conducted by a Heidelberg research team led by Dr. Kathrin Foshag and investigated the heat stress in selected urban squares in [...]
Transdisciplinary study on climate change adaptation of urban squares Climate change is not only taking place on distant continents or far into the future, but here and now. In Germany, too, the temperature is rising – and even faster than the global average – and the number of hot days is increasing. Especially in cities, the [...]
Always been curious about how we develop our methods for 3D/4D change analysis? Then check out our new video on high-resolution and high-frequency monitoring of a rock glacier in Austria! Link to video LiDAR datasets of the rock glacier provide the basis for the development of 3D and 4D methods for geomorphic change quantification within different research projects [...]
From 2nd – 9th March 2020, students of our department took part in an excursion to Northern England. Among the areas visited under the lead of Dr. Jack Williams were the Peak and Lake Districts, the North York Moors National Parks and Durham County. Preliminary seminars provided the students with background knowledge on the topics covered [...]
Best wishes and as happy Easter holidays as possible from GIScience Heidelberg! Our university campus is almost empty in its physical presence, our research is “virtually” contributing and still “flying”. Nature keeps on reminding us of its fantastic beauty but also distinctness. Spring is arriving at our department on campus (Prof. Hettner monument): Context transforms ordinary things and [...]
Members of the 3DGeo research group were recently taking advantage of the good weather to acquire some more data within the DFG-funded project SYSSIFOSS. We packed the drone and the RIEGL miniVUX-1UAV laser scanner, and drove to the forest near Bretten where 8 of our plots are located. In four days and 16 flights we [...]
Last week, members of GIScience Heidelberg participated in the 40th annual meeting of the DGPF (German association for photogrammetry and remote sensing) in Stuttgart, Germany. Presentations were contributed by PhD students Lukas Winiwarter and Katharina Anders (3DGeo Research Group), as well as former GIScience fellow Jun-Prof. Dr. René Westerholt. Read up on the presented topics in [...]
On Tuesday, 25.02.2020, the 3DGeo group and the SYSSIFOSS project partner from KIT organised a collaborative data processing event. 24 participants spent 6 hours (10:00-16:00) extracting individual trees from airborne LiDAR forest point clouds. In the SYSSIFOSS project, the segmented 3D tree models are required to simulate 3D forest stands when combined [...]
The last days of field work in Erg Chebbi continued at the star dune to wrap up final tasks: filling gaps in the data, adding some dune arms to the ground penetrating radar data, … All data acquisition at the star dune was concluded successfully, although the group was off to a late start. The [...]
Location-based games have become popular in recent years, with Pokémon Go and Ingress being two very prominent examples. Some location-based games, known as Serious Games, go beyond entertainment and serve additional purposes such as data collection. Such games are also found in the OpenStreetMap context and playfully enrich the project’s geodatabase. Examples include [...]