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)
18.06.2019 10:29
Estimating tree height from TanDEM-X data at the northwestern Canadian treeline

A new paper on tree height estimation from TanDEM-X data has just been published in Remote Sensing of Environment. The article finds that tree height can be predicted using TanDEM-X metrics (backscatter, bistatic coherence, and interferometric height) in the sparse forest patches of the Arctic treeline zone at the transition from forest to tundra. Taking [...]

14.06.2019 09:56
3DGeo at the Geospatial Week 2019

This week, the 3DGeo participated in the ISPRS Geospatial Week 2019 with two presentations among the sessions of the Laser Scanning Workshop with many interesting talks and poster. Presentations were given by Ashutosh Kumar in the Machine Learning Session and Katharina Anders in the Change Detection Session. Highlight: The work by Ashutosh Kumar on feature relevance in [...]

05.06.2019 18:15
Comparison of Three Algorithms for the Evaluation of TanDEM-X Data for Gully Detection in Krumhuk Farm (Namibia)

Namibia is a dry and low populated country highly dependent on agriculture, with many areas experiencing land degradation accelerated by climate change. One of the most obvious and damaging manifestations of these degradation processes are gullies, which lead to great economic losses while accelerating desertification. The development of standardized methods to [...]

31.05.2019 16:14
Paper on High-Frequency 3D Geomorphic Observation using Hourly LiDAR Time Series

Can you imagine how much sand is being moved on the beach in the course of a week? Did you ever observe truckloads of sand being transported on the beach in the absence of storms and bulldozers? It is hardly possible to estimate to the naked eye, but can be quantified with permanent terrestrial laser [...]

31.05.2019 16:12
Paper on Analysis of Feature Relevance in Deep Learning for 3D Point Cloud Classification

A paper investigating the relevance of (pre-calculated) features for 3D point cloud classification using deep learning was just published in the ISPRS Annals of Photogrammetry and Remote Sensing. The study presents a non-end-to-end deep learning classifier for 3D point clouds using multiple sets of input features and compares it with an implementation of the state-of-the-art [...]

29.05.2019 19:48
Open access publication of terrestrial laser scanning and terrestrial and UAV images of Alpine Regions in Austria

Very interesting terrestrial laser scanning and terrestrial and UAV image datasets of different Alpine sites in Austria have just been openly provided on PANGAEA. The data are related to the first (2015) and second (2017) edition of the Innsbruck Summer School of Alpine Research - Close Range Sensing Techniques in Alpine Terrain and can, for [...]

27.05.2019 09:00
SYSSIFOSS project start and first test scans

On May 1st, the SYSSIFOSS project has started and first test scans have already been conducted in the forest. Experciences from these initial testings serve as a basis for many field campaigns this summer which aim at the acquisition of high-density point clouds of 140 single trees with a RIEGL VZ-400 terrestrial laser scanner. Moreover, [...]

21.05.2019 09:00
First test flights with brand-new UAV-borne LiDAR system

The 3DGeo group is currently testing their new UAV-borne LiDAR (ULS) system. The integrated system consists of a DJI Matrice 600 copter, a RIEGL miniVUX-1 UAV laser scanner and is complemented by an inertial measurement unit and a realtime kinematics GNSS. Combining the different components in one system allows for high-accuracy (cm) acquisition of 3D [...]

17.05.2019 13:30
PhD Colloquium “Deep Learning in Photogrammetry, Remote Sensing and Geospatial Information Processing”

On 14th and 15th May, our 3DGeo group members Bernhard Höfle and Lukas Winiwarter were co-organizing and participating in the 4th colloquium for PhD students working on the topic of Deep Learning and its applications in Photogrammetry, Remote Sensing and Geoinformation Processing of the Deutsche Geodätische Kommission (DGK) and the Deutsche Gesellschaft für Photogrammetrie und [...]

11.05.2019 19:20
Usage of HELIOS for various applications

The Heidelberg LiDAR Operations Simulator (HELIOS) is an open source laser scanning simulation framework for interactive simulation and visualization of terrestrial, mobile and airborne laser scanning surveys. It can be flexibly used for teaching and training of laser scanning, development of new scanner hardware and scanning methods, or generation of artificial scan data [...]

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