Laser Scanning 2025

Workshop Overview

Laser scanning 2025 is the 13th of a series of ISPRS workshops covering various aspects of space-borne, airborne, mobile and terrestrial laser scanning in indoor, underground and outdoor environments. The workshop brings together experts who focus on processing and using point cloud data acquired from laser scanners and other active 3D imaging systems, such as range cameras and gaming sensors including terrestrial, mobile, aerial, unoccupied aerial and space-borne sensing platforms. Topics include all aspects related to sensor calibration, data acquisition and data processing including notably registration, feature extraction, classification, segmentation, object detection, big data processing, data fusion, 3D modelling, BIM and change analysis. The workshop will be part of the ISPRS Geospatial Week 2025 in Dubai, in parallel with several related geospatial workshops. The event will be held as a one-day single-track workshop of oral presentations and poster sessions.

Workshop Theme


  • Airborne, terrestrial, automotive, bathymetric LIDAR
  • Range imaging and gaming sensors
  • Single Photon LIDAR, Multi-spectral LIDAR, Solid-state LIDAR
  • Ubiquitous point cloud sensing and mapping

System and Signal Analysis

  • Sensor and system calibration and validation
  • Error modelling
  • Data fusion (LiDAR, RADAR, imagery)
  • Denoising

Point Cloud Processing

  • Point cloud registration & denoising
  • Segmentation
  • Classification
  • Fusion
  • Object detection and tracking
  • Feature extraction
  • Change analysis
  • Big Data processing
  • Scan-to-BIM


  • Thematic mapping and monitoring
  • Modelling anthropogenic and natural areas
  • Natural resource mapping
  • Biodiversity assessment
  • Precision farming
  • Forest mapping and carbon storage
  • Geohazards analysis
  • Infrastructure monitoring
  • Large-scale urban modelling

Workshop Organizers

Scientific Committee

  • Andreas Mayr (University of Innsbruck, Austria)
  • Antero Kukko (Finnish Geospatial Research Institute, Finland)
  • Bernhard Höfle (Heidelberg University, Germany)
  • Camillo Ressl (TU Wien, Austria)
  • Christoph Holst (TU Munich, Germany)
  • Daniel Wujanz (Technet, Germany)
  • David Belton (Curtin University, Australia)
  • David Griffiths (Apple, US)
  • Dong Zhen (Wuhan University, China)
  • Fabio Panella (Arup, UK)
  • Fabio Menna (Bruno Kessler Foundation, Italy)
  • Florent Poux (University of Liège, Belgium)
  • Francesco Pirotti (University of Padova, Italy)
  • Franz Rottensteiner (Leibniz Universität Hannover, Germany)
  • Gottfried Mandlburger (TU Wien, Austria)
  • Hai Huang (Universität der Bundeswehr München, Germany)
  • Kourosh Khoshelham (University of Melbourne, Australia)
  • Luigi Barazzetti (Politechnic University of Milan, Italy)
  • Lukas Winiwarter (TU Wien, Austria)
  • Marcus Hebel (Fraunhofer IOSB, Germany)
  • Markus Gerke (TU Braunschweig, Germany)
  • Michael Olsen (Oregon State University, USA)
  • Monica Herrero-Huerta (University of Salamanca, Spain)
  • Norbert Haala (University of Stuttgart, Germany)
  • Roderik Lindenbergh (TU Delft, Netherlands)
  • Sander Oude Elberink (ITC – University of Twente, Netherlands)
  • Sanna Kaasalainen (Finnish Geospatial Research Institute)
  • Thomas Zieher (Austrian Academy of Sciences)
  • Tomohiro Mizoguchi (Nihon University, Japan)
  • Volker Wichmann (Laserdata GmbH, Austria)
  • Wei Yao (Hong Kong Polytechnic University, Hong Kong)
  • Wen Xiao (China University of Geosciences, China)
  • Xinlian Liang (Wuhan University, China)
  • Yusheng Xu (Tongji University, China)
  • Zsofia Koma (Norwegian Institute for Bioeconomy Research, Norway)


The ISPRS Geospatial Week (GSW) is a combination of workshops organised by about 30 ISPRS Working Groups active in areas of interest of ISPRS.


The Mohammed Bin Rashid Space Centre (MBRSC) is a Dubai Government entity which aims to promote scientific innovation and technological advancement in the UAE.


Mohammed Bin Rashid Space Centre (MBRSC)
Al Khawaneej Area
P.O.Box: 211833
Phone : +971-4-6071200

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