Universitätssiegel
Secretary
Bettina Knorr
knorr@uni-heidelberg.de
Phone: +49 (0) 6221 54-5560
Fax: +49 (0) 6221 54-4529
 
Postal Address
Heidelberg University
Prof. Bernhard Höfle
Institute of Geography
Im Neuenheimer Feld 368
69210 Heidelberg
Germany
 

3D Geospatial Data Processing Group

LIDAR

3D Geospatial Data Processing (3DGeo) Research Group

3DGeo-Logo       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, 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)
09.03.2019 17:50
Brand new 3DGeo logo!

The 3DGeo research group has now a brand new 3DGeo logo! The logo is one result of our recent retreat to Lochau. And here it is: The creative “o” represents the process from raw 3D data via various data models to real-world phenomena - or vice versa. Isn’t that cool? Check out the logo on [...]

01.03.2019 16:51
Successful 3DGeo group retreat

The 3DGeo research group recently retreated to Lochau, Vorarlberg (AT). In intensive sessions throughout the three days, the members focused on future research, improving working within the group and external representation. A visit to Leica Geosystems in Heerbrugg (CH) complemented the experience, where they were able to visit the manufacturing line for Airborne Laser Scanning [...]

22.02.2019 14:24
Lukas Winiwarter wins Karl Kraus Award 2019

Our team member Lukas Winiwarter was awarded the prestigious and competitive Karl-Kraus-Nachwuchsförderpreis 2019 for his outstanding research that he did in his diploma thesis. His research “Classification of 3D Point Clouds using Deep Neural Networks” was compiled at the TU Wien (and also at University of Stuttgart in a research visit) under the guidance of [...]

22.02.2019 11:24
Publication of multi-sensor data from Arctic Siberian permafrost site

A 16-year record (2002–2017) of permafrost, active-layer, and meteorological conditions at the Samoylov Island Arctic permafrost research site, Lena River delta, northern Siberia was just published in Earth System Science Data. The long-term observational data is complemented by high-resolution topographic data acquired by terrestrial laser scanning (TLS) in 2017, when the 3DGeo Research Group joined [...]

08.02.2019 22:07
How can LiDAR data help to understand early Olmec subsistence in Mexico?

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 [...]

08.02.2019 18:30
New Highlights at STAP19

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 [...]

01.02.2019 12:50
Teaching geodata acquisition in and around Heidelberg

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 [...]

30.01.2019 07:00
Visualizing 3D Spatial Data with GigaMesh – Tutorial Videos

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 [...]

20.01.2019 15:07
Call for Abstracts for PhD Colloquium on Deep Learning in Photogrammetry, Remote Sensing and Geospatial Information Processing

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 [...]

17.01.2019 09:41
STAP19 Compact Course and Workshop in April - Registration Open

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 [...]

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