Universitätssiegel
Contact
Prof. Dr. Bernhard Höfle
Institute of Geography
3DGeo Research Group
Heidelberg University
Im Neuenheimer Feld 368
D-69120 Heidelberg, Germany
hoefle@uni-heidelberg.de
Phone: +49 6221 54-5594
Fax: +49 6221 54-4996
 

3D Geospatial Data Processing Group

LIDAR

3D Geospatial Data Processing (3DGeo) Research Group

IWR – Interdisciplinary Center for Scientific Computing       HCE – Heidelberg Center for the Environment

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. 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)
05.08.2018 08:01
Live from the Ötztal Alps (#5): Exploring high-mountain 3D GIScience

On our last day in the Ötztal Alps, we had an exciting excursion from Obergurgl to Ramolhaus on 3006 m a.s.l. On our way up we could directly explore glacial history by passing the historical extents and related moraines of the retreating Gurgler glacier. The students also learned about geoarcheology and settlement history in the [...]

03.08.2018 14:58
Live from the Ötztal Alps (#4): Exploring high-mountain 3D GIScience

We are blogging live from Ramolhaus at 3006 m a.s.l. After a 4-hours hiking tour with 1100 height meters we are now enjoying the impressive view over glaciers with “Kaiserschmarren” for lunch.

02.08.2018 22:47
Live from the Ötztal Alps (#3): Exploring high mountain 3D geoinformation

On the last day of fieldwork in the rotmoos valley two groups (terrestrial laser scanning (TLS) and photogrammetry) set off to the rotmoos glacier again. A second TLS dataset was aqcuired which enables the students to perform a change detection or deformation analysis. The electrical resistivity tomography (ERT) group futher explored the pre-Quaternary [...]

01.08.2018 21:22
Live from the Ötztal Alps (#2): Exploring high mountain 3D geoinformation

Today was the second day of field work in the Rotmoos valley in the Ötztal Alps for our 16 students. The hot sun challenged the data acquisition but the impressive landscape makes up for every effort. The terrestrial laser scanning group climbed up the valley flanks to acquire a high resolution point cloud from an end [...]

31.07.2018 22:11
Live from the Ötztal Alps (#1): Exploring high mountain 3D geoinformation

As part of the practical field training “3D Geodatenerfassung im Hochgebirge (Ötztal)”, 29 July - 04 August, 16 students explore pyhsical geography in an impressive high-mountain environment in the Ötztal valley, Austria. With the help of terrestrial LiDAR, RTK GNSS, close range photogrammetry and electrical resistivity tomography (ERT), multi-source datasets will be captured for the analysis of surface [...]

10.07.2018 13:00
Follow-up to study with mobile low-cost 3D camera crop height measurements

The study “Mobile low-cost 3D camera maize crop height measurements under field conditions” (see the respective blog entry) is now available also as print version: The updated citation is: Hämmerle, M. & Höfle, B. (2018): Mobile low-cost 3D camera maize crop height measurements under field conditions. Precision Agriculture 19(4), pp. 630-647. doi: 10.1007/s11119-017-9544-3.

09.07.2018 22:23
Continued capturing of an active rock glacier in 3D

For the fourth consecutive year, the 3DGeo team acquired the rock glacier Äußeres Hochebenkar in the Austrian Ötztal by terrestrial laser scanning. This adds another point cloud to the multitemporal dataset to observe how the active rock glacier changes over the years. In an elevation over 2600 m a.s.l., the complex terrain on and around the [...]

04.07.2018 16:31
Validation of fracture data recognition in rock masses by automated plane detection in 3D point clouds

Digital outcrop models provide a powerful data basis to obtain orientation information on rock masses. Robust and transferrable automatic methods are required to process and analyze these data, as outcrops and hence acquired 3D point clouds are influenced by varying conditions depending e.g., on the site, atmospheric conditions and other factors. A crucial aspect in [...]

29.06.2018 10:22
Talk on methods and applications for large geospatial point clouds

On Wednesday, Roderik Lindenbergh from TU Delft (NL) gave an exciting talk on robust geometry extraction in large spatial point clouds in the frame of the IWR colloquium at the Interdisciplinary Center for Scientific Computing. With focus on robust and novel methods of geoinformation extraction from these special datasets, the audience was taken on a [...]

25.06.2018 11:41
IWR Colloquium on Robust Geometry Extraction in Large Spatial Point Clouds (Prof. Roderik Lindenbergh)

Everyone interested is cordially invited to the talk of Prof. Roderik Lindenbergh (TU Delft, NL) on Robust geometry extraction in large spatial point clouds in the frame of the IWR Colloquium at the Interdisciplinary Center for Scientific Computing. When: Wednesday, 27th June 2018, 14:15 Where: Conference Room (5th [...]

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