Tag: dfg

  • 3DGeo April Recap: Conferences

    3DGeo April Recap: Conferences

    It was an exciting month for the 3DGeo research group in April. Three major conferences took place: Let’s give you some impressions below! JISDM The Joint International Symposium on Deformation Monitoring (JISDM) brings together experts on deformation monitoring from a range of fields such as photogrammetry, remote sensing and of course geodesy. It is a…

  • Major HELIOS++ Release: v2.0.0

    Major HELIOS++ Release: v2.0.0

    We are happy to release a new major version of HELIOS++: https://github.com/3dgeo-heidelberg/helios/releases What’s new in this release? Installation The new way to install HELIOS++ is via the conda or mamba package managers. We recommend mamba or micromamba. After creating a dedicated Python environment for your HELIOS++ project and activating it, run: mamba install helios or…

  • Deep learning with simulated laser scanning data for 3D point cloud classification

    Deep learning with simulated laser scanning data for 3D point cloud classification

    Esmorís, A.M., Weiser, H., Winiwarter, L., Cabaleiro, J.C. & Höfle, B. (2024): Deep learning with simulated laser scanning data for 3D point cloud classification. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 215, pp. 192-213. DOI: 10.1016/j.isprsjprs.2024.06.018 3D point clouds acquired by laser scanning are invaluable for the analysis of geographic phenomena. To extract information…

  • VirtuaLearn3D: New Preprint

    VirtuaLearn3D: New Preprint

    We have published a preprint of our recent work in the VirtuaLearn3D project! Deep learning with simulated laser scanning data for 3D point cloud classification Esmorís, A.M., Weiser, H., Winiwarter, L., Cabaleiro, J.C. & Höfle, B. (2024) Laser scanning is an active remote sensing technique to acquire state-of-the-art spatial measurements in the form of 3D…

  • New paper on the potential of simulated laser scanning and field data to train forest biomass models

    New paper on the potential of simulated laser scanning and field data to train forest biomass models

    In great collaboration with colleagues from Karlsruhe (DE), Vienna (AT), Brno (CZ), Leipzig (DE), Raszyn (PL), and Berlin (DE), we published a paper investigating approaches to improve LiDAR-based biomass models when only limited sample plots with field data are available. The main work was carried out by PhD student Jannika Schäfer (IFGG, Karlsruhe Institute of…

  • DFG Software Grant

    DFG Software Grant

    Successful proposal: Fostering a community-driven and sustainable HELIOS++ scientific software The 3DGeo Group and the Scientific Software Center (SSC) of Heidelberg University have been successful with their proposal in the DFG call “Research Software – Quality assured and re-usable”, together with two other project proposals at Heidelberg University (see press release). The main objective of…

  • 🦇 Halloween release of HELIOS++, v1.3.0

    🦇 Halloween release of HELIOS++, v1.3.0

    We proudly present our Halloween release of HELIOS++, Version 1.3.0: https://github.com/3dgeo-heidelberg/helios/releases What’s new in this release? HELIOS++ now supports LiDAR simulation of dynamic scenes. We can now simulate laser scanning of scenes that change during the simulation. This is done by introducing rigid motions, which are defined with XML syntax in the scene XML file.…

  • Global Health Academy 2021: workshop material online

    Last week, the Global Health Academy 2021 took place in an online format with a focus on the COVID-19 pandemics. The conference was conveyed by the Heidelberg Institute of Global Health (HIGH) and aimed at practitioners, researchers and PhD students in the public health domain. Dr. Sven Lautenbach with support by Steffen Knoblauch and Marcel…

  • Today & tomorrow GIScience Heidelberg Talks in Africa and Australia

    This Wednesday and Thursday we have presentations from the GIScience research group Heidelberg on two remote contintents – both in Africa and in Australia: On Wednesday: First down under at GIScience Melbourne in Australia Rene Westerholt will present the work related to our PLATIAL18 workshop: Westerholt, R., Gröbe, M., Zipf, A. and Burghardt, D. (2018): Towards the statistical…

  • Deadline extended to July 25: PLATIAL 2018, Heidelberg University

    Because of several requests the deadline for short papers has been extended to Wed. July 25 2018. The recent availability of user-generated geographic datasets allows gaining novel insights into otherwise hardly observable societal phenomena. Geosocial media forms one important source of user-generated information, which partly describes the everyday lives of people. The analysis of these…

  • Successful DFG VGIscience Collaborative Research Week in Heidelberg

    Last week about 30 scientists from different insitutions from all across Germany came together in Heidelberg to conduct collaborative research. The research week is the result of an intense collaboration within the DFG Priority Programme VGIscience, which deals with the following topics Information Retrieval and Analysis of VGI: • information extraction (space, time, semantics) •…

  • DFG Summer School “VGI”

    Last week, our colleagues Franz-Benjamin Mocnik and René Westerholt participated in a summer school of the DFG priority programme on “VGI”. GIScience Heidelberg is involved in that programme by two projects, one of which is dealing with data quality issues and another one that investigates the assessment of spatial assotiations in social media data. The…