Event | program

Tentative program

Thursday, February 4, 2027

 
8:30    Registrations of participants

 
9:00 – 10:40    Welcome and Nation Wide Data processing - perspectives from NMAs

• Florian Gandro, Swisstopo, Switzerland
  Full integration of Point Clouds in the new production environment at swisstopo
• Léa Vauchier, IGN, France
  An update on the LidarHD project and its usage for new IGN projects
• James Gillespie et al., Ordnance Survey, UK
  From mobile mapping to reusable ground control: evaluating OSMOSIS for aerial imagery georeferencing
• Gottfried Mandlburger, TU Vienna, Austria
  STAC (SpatioTemporal Asset Catalog) for the Management and Distribution of Nationwide Point Clouds and Digital Elevation Models
• Alex Salvatierra et al., Public University of Navarre, Spain
  Current and Future Challenge for Swisstopo in Terms of Acquisition, Use, Management and Updating of High Accuracy Elevation Point Clouds
   

10:40 - 11:00    Coffee Break

 

11:00 - 12:40    Nation Wide Data processing - perspectives from industry

• Nejc Dougan, Flai, Slovenia
  99% accurate and still wrong: rethinking quality metrics for AI-classified point clouds
• Mathias Rothermel, ESRI, Germany
  Potential of Gaussian Splatting for Photogrammetry.
• Filipe Pinto et al., TopoDOT, USA
  The Future of LiDAR Surveying: Discovery, Communication, and Collaboration
• Uwe Bacher, Octave, Germany
  Digital Twin Germany
• Bernhard Schachinger, Vexcel, Austria
  Exploring UltraCam Data: Imagery, Point Clouds, and Next-Generation DSMs
   

12:40 - 13:10    Coffee Break with finger food

 

13:10 - 14:50    Georeferencing and Change Detection

• Florian Pöppl, Riegl, Austria
  Georeferencing of LiDAR Point Clouds: Past, Present and Future
• Jan Skaloud, EPFL, Switzerland
  Integrated orientation of ALS and imagery on high-definition hybrid systems
• George Vosselman, University of Twente, The Netherlands
  Challenges in airborne laser scanning without GNNS
• Sébastien Lefèvre, IRISA, Université Bretagne Sud, France
  When deep learning meets point clouds and change detection
• Jiaojiao Tian, DLR, Germany
  The Evolution of 3D Building Change Detection- from 2.5 multimodal fusion to 3D representation
   

14:50 - 15:20    Coffee Break

 

15:20 - 17:20    Poster Session - including short pitch with 2 minutes and (max) 2 slides for each poster

• Eveli Sisas et al., University of Tartu, Estonia
  Ensuring consistent vegetation structure mapping from national airborne laser scanning: lessons from Estonia
• Emilie Vautier et al., IGN, France
  LiS2Forest: a national-scale LiDAR, Sentinel-2 and field inventory dataset to study acquisition heterogeneity in forest analysis
• Clara Lößl et al., University of Osnabrück, Germany
  A comparison between Low-Cost and High-End Laser Scanners for Biomass Estimation in Tree Plantations
• Eetu Painilainen et al., Finnish Geospatial Research Institute (FGI), Finland
  An Open Research Challenge: Quantitative Registration of Non-Rigid Plant Dynamics in LiDAR Point Cloud Time Series
• Iuliana Maria PÂRVU, Șef Serviciu Fotogrammetrie Centrul National de Cartografie Bucuresti, Romania
  3D City Models for Heavy Rainfall Resilience in Local Communities
• Marco Hannemann et al. BKG, Germany
  The Digital Twin Germany: Mapping Energy infrastructures from ALS point clouds
• Johannes Jurgovsky et al., Bayerische Landesanstalt für Wald und Forstwirtschaft, Germany
  Observation-Aware Reconstruction of Vegetation Structure from Multi-Return Airborne LiDAR
• Noam Shwarts Survey of Israel
  Navigating the Depths and the Skies: Challenges in Executing a National Coastal Bathymetric LiDAR Survey During Wartime
• Ole Thomas Petrusson et al., Bekk Consulting, Norway
  Towards Multi-Class Labelling of Norway's National Point Cloud Archive: Superpoint Transformers Operationalized on Databricks
• Elias Humm, DB InfraGO AG, Germany
  Comparison of 3D Point Cloud Classification Software for railway infrastructure assets and integration into Deutsche Bahn GIS
• Enrique Poveda Lorente et al., Universidad Politécnica de Madrid, Spain
  Methodological advances in evaluating local feature extractors for semantic segmentation of airborne LiDAR point clouds
• Anthony Famurewa, Federal University of Technology, Akure, Nigeria
  Automated Rooftop Geometry Extraction and Solar Potential Optimization: A Multi-Modal Point Cloud and Geospatial Machine Learning Approach
• Jiuli Zhang, Nagoya University, Japan
  Recovering Individual Buildings from Urban ALS Point Clouds through Roof-Primitive Relation Learning
• Pedro Benevides, Equipa Multidisciplinar Inteligência Geoespacial (GeoInt), Portugal
  Exploring the national airborne LiDAR coverage to improve the Portuguese Land Cover Monitoring System products and derive new value-added geospatial datasets
• Pengying Liu et al., Henan University, China
  Adaptive regularization for reducing shadow artifacts in lunar south polar shape from shading
• Mohammad Mahdi Rajabi, DataFre8, Luxembourg
  From Point Clouds to Robotics Simulation: Can We Scale the Conversion?
• Miloš Rusnák et al., Slovak Academy of Sciences, Bratislava, Slovakia
  Towards a River Digital Twin: Integrating UAV-Based Bathymetry, 3D Point Clouds and Biogeomorphic Monitoring of River Corridors
• Geethanjali Anjanappa et al., University of Twente, The Netherlands
  BiFusionNet: Bidirectional Local-Global Feature Fusion for Joint Semantic Segmentation of Airborne Images and LiDAR Point Clouds
• Guillaume Houle, Hydro-Québec research institute VAREN, Canada
  An Open-Source LiDAR Classification Framework and Dataset for Overhead Distribution Networks
• Mercy Akintola Onaopemipo, Federal University of Technology, Akure, Nigeria
  Integrating LiDAR Point Clouds and Multimodal Earth Observation for High-Resolution Relative Sea Level Rise and Coastal Vulnerability Mapping in Lagos, Nigeria
• Sima Ahmadi, Tehran, Iran
  From Raw Soundings to Dredging Volumes: An Automated Python Workflow for Multibeam Bathymetric Point Cloud Processing in Port Monitoring
• 
   

19:00    Social dinner

 

Friday, February 5, 2027

 
8:30 – 10:10    Forestry

• Arttu Soininen, Terrasolid, Finland
  Tree Mass Computation from Lidar Pulses
• Yuha Hyyppä, National Land Survey of Finland
  Intelligent point cloud processing for individual tree inventories
• Bruno Vallet, IGN, France
  Parametric 3D tree reconstruction from aerial LiDAR
• Clara Lößl et al., University of Osnabrück, Germany
  A look into the application of sparse tensor networks for individual tree diameter estimation in mixed forests
• Josafat-Mattias Burmeister et al., University of Potsdam, Germany
  Tree Instance Segmentation in Dense Forest Point Clouds: Methods, Challenges, and Benchmarking
   

10:10 - 10:30    Coffee Break

 

10:30 – 12:10    Semantic Segmentation of Point Clouds

• Ville Lehtola, University of Twente, The Netherlands
  Mapping with Meaning: How Geometry and Semantics Improve Each Other
• Florent Poux, 3D Geodata Academy | University of Liege, Belgium
  3D foundation models for point cloud understanding
• Kevin Qiu et al., TU Darmstadt, Germany
  Emerging 3D Point Cloud Foundation Models: Are They Ready for Geospatial Data?
• YAO, Wei et al., Chinese Academy of Sciences, China
  A Cluster-Centric Paradigm for Annotation-Free Open-Set Semantic Segmentation of Aerial Point Clouds with Domain Shifts
• A. Gressin et al., School of Engineering and Management Vaud, Switzerland
  From national LiDAR archives to trained models: an open toolkit for deep semantic segmentation at archive scale
   

12:10    Closing