3D Geospatial Data Processing Group
3D Geospatial Data Processing Group (3DGeo)
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 and running research projects for further details.
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Digital Geoarchaeology can be regarded as an intersection of disciplines that contributes to the consolidation of different academic perspectives. It represents a novel approach in terms of computer scientific methods combined with geoscientific know-how and archaeological expertise to multi-methodically investigate past human-environmental relationships (Siart et al. 2018).
The Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg University is a leading institution in research and education in scientific computing in a multitude of interdisciplinary topics - covering science, engineering and humanities. Computational methods are a very important foundation in GIScience / Geoinformatics with particular focus on the investigation of geospatial data and geospatial [...]
Not undercover but on the cover: We were selected as cover story of the ISPRS International Journal of Geo-Information, Volume 6, Issue 11.
Maps of the spatial distribution of crop heights can strongly support agriculture in terms of efficiency and yield optimization. Recently published results of experiments of the 3D Spatial Data Processing research group describe an approach to easily extend regular agricultural machines with low-cost sensors for capturing crop heights while the machine is in the field. Based [...]
Yesterday, GIScience Heidelberg was welcoming our new master students. After a general introduction into our teaching philosophy, our core courses and our institutes (HeiGIT, HCE, IWR), we were giving insights into the specialization in GIScience/Geoinformatics, which is possible in the Geography Master Programme.
In September 2017, the 3D Spatial Data Processing Group (3DGeo) joined the German-Russian expedition of the Alfred Wegener Institute (AWI) for Polar and Marine Research to the Arctic research station Samoylov (N 72°22’, E 126°29’) in the central Lena Delta. Under the lead of Julia Boike, the research team maintained and expanded long-term monitoring stations and [...]
An interesting 3D art project using point clouds of the 3D Spatial Data Processing research group of Prof. Bernhard Höfle (3DGeo) was recently realized by artist Gerrit Frohne-Brinkmann. The data were acquired from natural karst cave features in the Dechen Cave near Iserlohn, Germany both with a low-cost Kinect sensor and terrestrial LiDAR. For the art [...]
Feel free to submit papers to our DGPF Working Group on Geoinformatics (Prof. Haunert, Prof. Höfle). Important dates for submission can be found here: http://www.pf.bgu.tum.de/pfgk18/pfgk18_dat.html Deadline for regular papers is 31 October 2017!
Last week (Sept. 18-22, 2017), our six colleagues, Prof. Alexander Zipf, Doctoral Candidate Xuke Hu, Dr. Hongchao Fan, Dr. Martin Hämmerle, Dr. Zhiyong Wang, and Dr. Wei Huang, participated in the ISPRS Geospatial Week 2017 held in Wuhan, China.
The 3D spatial data processing group had the opportunity to collaborate with the team of Prof. Tzu-Ping Lin from National Cheng Kung University, Tainan, Taiwan, within the frame of a study dealing with carbon emission reduction measures in urban environments. One option of reducing carbon emission by buildings is to install photovoltaic (PV) panels in [...]