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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Liebe Studierende aller Semester und Studiengänge, ich möchte Sie herzlich zu zwei besonderen Veranstaltungen im Rahmen der Vorlesung “Geodatenerfassung” in die Geographie einladen, die Sie sicher interessieren könnten:
Die 3D-Initiative in den Geowissenschaften organisiert einen Workshop zu “3D-Geländemethoden in den Geowissenschaften” (14-16. März in Heidelberg) mit speziellem Fokus auf Workflows. Der Workshop wird von der Geoinformatik Heidelberg mitorganisiert. Willkommen sind alle Interessierten an 3D und Geo: ForscherInnen, Studis, PraktikerInnen, usw.. Eine kostenfreie Anmeldung ist aus organisatorischen Gründen zwingend nötig. Weitere Infos finden Sie [...]
Short abstract submission for the EGU General Assembly in Vienna 8–13 April 2018 is still open until 10 January 2018 (13:00 CET). We organize a session with special focus on 3D Point Clouds in Geosciences: Capturing, Analysis and Visualization. We would be very happy to receive your research and promote it in this special [...]
The GIScience Research Group with the 3D Geospatial Data Processing Group and the team at HeiGIT (Heidelberg Institute for Geoinformation Technology) at Heidelberg University do wish a peaceful Christmas time and all the best for a successful and prosperous new year 2018 to all of you!
… by acquiring data only when and where changes occur. In this project on Autonomous 3D Earth Observation of Dynamic Landscapes (Auto3Dscapes), a novel strategy of permanent 3D observation will be developed incorporating observed topographic changes as feedback and dynamically adapting the acquisition parameters and analysis methods. Permanent 3D Earth observation is currently challenged by the strong [...]
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.