3D Geospatial Data Processing Group
3D Geospatial Data Processing (3DGeo) Research Group
We investigate and develop computational methods for the geographic analysis of 3D/4D point clouds. Our datasets are acquired by cutting-edge Earth observation technology (e.g. laser scanning/LiDAR, photogrammetry/SfM and SAR). We aim at increasing the understanding of geographic phenomena by observing and analyzing them in full 3D, in near real-time with high spatial and temporal resolution. Our methods can be applied to study physical processes (e.g. geomorphology), anthropogenic landscapes (e.g. emission reduction) and inherent human-environmental interactions (e.g. natural hazards, forestry and agriculture). Our research sites are spread all over the world: we perform in-situ 3D measurements, code in the lab and simulate Earth observation with our own open source software for virtual laser scanning.
Here, you can find our research projects, publications, videos, and open source code & data.
We love both programming and field work!
Latest News (RSS Feed)
Check out our new paper presenting a novel approach (correspondence-driven plane-based M3C2) to lower the uncertainty in 3D topographic change quantification (get free access here until 2 February 2022) Zahs, V., Winiwarter, L., Anders, K., Williams, J.G., Rutzinger, M. & Höfle, B. (2022): Correspondence-driven plane-based M3C2 for lower uncertainty in 3D topographic change quantification. ISPRS Journal [...]
The 3DGeo research group is part of the AGU Fall Meeting from 13 - 17 December 2021 with the following topics and contributions: 1) Hypersurface Observation Network (Hyperon) — What it is and why we need it (Monday, 13 December 2021 16:00 - 18:00 CST) In the terrestrial domain, large biogeochemical and energetic uncertainties surround the soil-plant-atmosphere [...]
This week on 29 November, it was announced that our team member Nina Krašovec received Nahtigal Award from the Faculty of Arts of the University of Ljubljana (UL) for her master’s thesis “Detection of standing dead trees using leaf-on and leaf-off UAV-borne laser scanning point cloud data in mixed forests”. The research was conducted under [...]
Registration for our Innsbruck Summer School of Alpine Research 2022 is now open (until 15 January 2022). If you want to learn innovative practical and methodological skills to characterize complex terrain and object features using close-range and remote sensing techniques - apply now! The Summer School in the Ötztal Alps in Austria will be [...]
On Tuesday, 16 November 2021, Dr Katharina Anders defended her PhD research with great success. In her dissertation, Katharina developed methods on 4D change analysis to extract natural surface changes from near-continuous LiDAR time series of dynamic landscapes. Congratulations, Katharina, for this excellent research - we are very proud to have you in our team and wish [...]
A virtual alumni event of the Innsbruck Summer School of Alpine Research will take place on Tuesday, 7th December, 15:00-17:00. Close- and remote sensing techniques turned to essential methods for mapping and quantifying processes in mountain environments. Many different sensor systems, platforms and analysis approaches are available for observing and monitoring dynamic patterns [...]
For the first time, the inland dunes in Sandhausen (Baden-Württemberg, Germany) have been captured by UAV-borne photogrammetry and laser scanning. The dunes are a precious habitat for many specialized plants and animals. They formed during the last ice age by sand drift from the Rhine valley. The large inland dunes, originally stretching from Karlsruhe to [...]
In the SYSSIFOSS project, we are investigating how we can take advantage of virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, in forestry applications. These applications include survey planning and optimization, sensitivity analyses, and algorithm development. For example, VLS may be used to investigate the influence of different sensor and [...]
Within the AHK-4D project, we continually monitor topographic change at the alpine rock glacier Äußeres Hochebenkar in Austria. Based on multitemporal and multi-source 3D point clouds at up to two-week acquisition intervals, we are developing methods to quantify the magnitudes and frequencies of individual processes of topographic change over varying timescales. This year, we have also [...]
Our forest laser scanning dataset collected in the frame of the SYSSIFOSS project is now openly available through the PANGAEA Data Publisher: Weiser, H., Schäfer, J., Winiwarter, L., et al. (2021): Terrestrial, UAV-borne and airborne laser scanning point clouds of central European forest plots, Germany, with extracted individual trees and manual forest inventory measurements. PANGAEA, https://doi.org/10.1594/PANGAEA.933426 Until [...]