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UID:pretalx-foss4g-europe-2025-workshops-FUQKGD@talks.staging.osgeo.org
DTSTART;TZID=CET:20250715T140000
DTEND;TZID=CET:20250715T180000
DESCRIPTION:Dive into the fascinating world of LiDAR data as we transform r
 aw point clouds into striking 3D visualizations using a suite of open-sour
 ce tools. This workshop begins by exploring the ASPRS standard\, helping y
 ou understand essential concepts like point classifications\, return numbe
 rs\, and other fundamental attributes that define LiDAR data. You’ll lea
 rn how to correctly interpret these attributes\, assess data quality\, and
  leverage them for more insightful analysis.\n\nMoving beyond the basics\,
  we’ll dig into powerful open-source workflows with PDAL\, GRASS\, White
 boxTools for data reading\, manipulation and  spatial processing\, and wit
 h tools like QGIS\, Potree and pybabylonjs for dynamic 3D rendering. We’
 ll also introduce TileDB as a robust storage option to manage point-clouds
  as massive dataframes. Along the way\, we’ll tackle real-world tasks li
 ke gridding\, interpolation\, vectorization\, and classification\, highlig
 hting  effective approaches to manage and visualize large-scale point clou
 ds in a reproducible manner.\n\nBy integrating Python scripts with these s
 pecialized tools\, you’ll discover how to automate complex processing ch
 ains and generate stunning outputs that bring your LiDAR data to life. Whi
 le basic Python knowledge is helpful\, it’s not mandatory — anyone eag
 er to learn new techniques can follow along. By the end of this hands-on w
 orkshop\, you’ll not only grasp the core concepts behind LiDAR data but 
 also have the practical skills to handle and present it in exciting\, visu
 ally compelling ways.
DTSTAMP:20260524T214020Z
LOCATION:PA01
SUMMARY:Point-Cloud Acrobatics: From Raw LiDAR to Stunning 3D Visuals - Ale
 n Mangafić\, Tomaž Žagar
URL:https://talks.staging.osgeo.org/foss4g-europe-2025-workshops/talk/FUQKG
 D/
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