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)
A new data article on “A high-resolution 4D terrestrial laser scan dataset of the Kijkduin beach-dune system, The Netherlands” was just published in Scientific Data. Along with the fully openly available dataset, the article presents insights into the importance of frequent and spatially detailed surface measurements - and what to do with them. Get directly to [...]
Die 3DGeo Forschungsgruppe (https://uni-heidelberg.de/3dgeo) der Abteilung Geoinformatik an der Universität Heidelberg sucht eine qualifizierte und motivierte Person für ein Praktikum als Scientific Software Developer*in (w/m/d) für einen Zeitraum von 3 bis 6 Monaten als stud./wiss. Hilfskraft. Im Anschluss besteht generell die Möglichkeit der Verlängerung oder die Bewerbung auf eine Stelle als wiss. Mitarbeiter*in (w/m/d). Die 3DGeo-Forschung [...]
The 3DGeo Research Group will present some of their latest research at EGU General Assembly 2022. We are looking forward to meet you at the following talks: Virtual Laser Scanning using HELIOS++ - Applications in Machine Learning and Forestry: The presentation provides an introduction to VLS, possible use cases, pitfalls and best practices for successful application of [...]
In recently published work, we show how change analysis from near-continuous 3D time series improves by considering full temporal information. How can it be done? Using 4D objects-by-change! The method was applied to an hourly time series of terrestrial laser scans acquired for snow cover monitoring. In the snow-covered scene at the Zugspitze ski resort, all [...]
Was für Forschung und Ziele stecken denn hinter dieser Abbildung? In einem aktuellen Beitrag in der Zeitschrift Ruperto Carola erläutert Professor Höfle stellvertretend für die gesamte 3DGeo Heidelberg Forschungsgruppe, was Umweltbeobachtung in 4D bedeutet und hebt die Bedeutung von Open Science - Open Source - Open Access hervor: ABSTRACT: Rund um die Uhr beobachten Laserscanner beispielsweise das [...]
Vom 9. bis zum 12. März 2022 findet die jährliche FOSSGIS Konferenz statt, die führende Konferenz für Freie und Open Source Software für Geoinformationssysteme und Open Data im deutschsprachigen Raum. Im Themenbereich 3D und LiDAR wird die 3DGeo Gruppe mit Beiträgen zur Open Source Software HELIOS++ vertreten sein, die der Simulation von Laserscanning dient. Am Freitag, 11. [...]
Registration for our Innsbruck Summer School of Alpine Research 2022 has been extended until 28 February 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 - use this chance to apply now! All details regarding learning objectives, keynote speakers, [...]
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 [...]
Archive of News
http://k1z.blog.uni-heidelberg.de/category/research/lidar-group/