Tag: TU Delft

  • New paper on the automatic characterization of surface activities from 4D point clouds

    An approach for automatic characterization of surface activities from large 4D point clouds is presented in a new paper by Daan Hulskemper et al. in collaboration between the 3DGeo research group and the departments of Geoscience and Remote Sensing and Coastal Engineering at TU Delft. Hulskemper, D., Anders, K., Antolínez, J. A. Á., Kuschnerus, M.,…

  • New Paper and Data: 4D Point Clouds of a Beach-Dune System

    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…

  • Time Series-Based Coastal Surface Change Analysis @ISPRS2021

    Our work on “Time Series-Based Coastal Surface Change Analysis using Hourly Terrestrial Laser Scans” was featured with a live presentation at this year’s digital event of the ISPRS Congress. The presentation by Katharina Anders was further made available as pre-recorded video, which you can now watch on the 3DGeo YouTube channel: The presented work is…

  • Press release: Understanding the Spatial and Temporal Dimensions of Landscape Dynamics

    The research of the 3DGeo group is featured in a press release about Understanding the Spatial and Temporal Dimensions of Landscape Dynamics. The text illustrates how Heidelberg geoinformation scientists develop new computer-based method to analyse topographic changes. The described method is published in this article: Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R., Vos, S.…

  • Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes

    When and where do changes occur in dynamic natural landscapes? A new method has been published that enables the automatic extraction of surface changes from entire time series of 3D point clouds. The developed method of spatiotemporal segmentation extracts changes regarding their surface change history, which makes it particularly useful for natural scenes that are…

  • Auto3Dscapes video about research in 4D change analysis

    This new video by the 3DGeo group presents the challenges of 3D Earth observation and our advances in 4D change analysis in the frame of the Auto3Dscapes project: Direct link to the video: https://youtu.be/Fdwq-Cp0mFY Many thanks to Claudia Denis and David Jäger for helping to realize the video! We are also very happy about the…

  • 4D objects-by-change: Spatiotemporal segmentation of geomorphic surface change from LiDAR time series

    How can surface change processes be detected and delineated in large time series of 3D point clouds? A paper on the extraction of 4D objects-by-change has just been published in the ISPRS Journal of Photogrammetry and Remote Sensing. It presents an automatic method for 4D change analysis that includes the temporal domain by using the…

  • 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…

  • 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…

  • Auto3Dscapes for 4D Beach Observation

    How does a sandy beach naturally restore after a storm event? Invaluable information on this process is provided by a highly temporal (hourly) time series of 3D point cloud data acquired over several months at the beach of Kijkduin (NL). The permanent LiDAR system is operated by a team of TU Delft researchers in the…

  • Talk on methods and applications for large geospatial point clouds

    On Wednesday, Roderik Lindenbergh from TU Delft (NL) gave an exciting talk on robust geometry extraction in large spatial point clouds in the frame of the IWR colloquium at the Interdisciplinary Center for Scientific Computing. With focus on robust and novel methods of geoinformation extraction from these special datasets, the audience was taken on a…

  • Auto3Dscapes Makes Environmental Monitoring Smarter

    … 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…