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SUMMARY:Discovering and cataloguing 3D city models with STAC - Hugo Ledoux
 \, Hidemichi H.B Baba
DTSTART;TZID=Europe/Amsterdam:20260709T131500
DTEND;TZID=Europe/Amsterdam:20260709T133500
DTSTAMP:20260726T045524Z
UID:pretalx-foss4gnl-T83KXS@pretalx.com
DESCRIPTION:National-scale 3D city model datasets are expanding rapidly --
  Japan's PLATEAU project alone publishes over 170\,000 files\, and the Net
 herlands' 3DBAG covers all approximately 11 million buildings in the count
 ry -- yet no standardised mechanism exists for discovering and cataloguing
  these datasets across repositories.\n\nEssential properties such as coord
 inate reference systems\, levels of detail (LoDs)\, and types of city obje
 cts remain embedded inside data files in a variety of formats (for example
 \, CityGML\, CityJSON\, or FlatCityBuf)\, making them invisible to search 
 engines and catalogue services.\n\nWe will present and discuss three contr
 ibutions we have made to address that gap:\n\n1. The [STAC 3D City Models 
 Extension](https://github.com/cityjson/stac-city3d)\, a formal extension t
 o the SpatioTemporal Asset Catalog (STAC) specification that adds metadata
  fields for LoDs\, city object types\, semantic surfaces\, textures\, mate
 rials\, and attribute schemas. \n2. The software `city3dstac`\, an open-so
 urce command-line tool written in Rust that automatically extracts metadat
 a from 3D city models in multiple formats and generates STAC-compliant met
 adata. <>\n3. A prototype registry that currently indexes several STAC Col
 lections around the world. It already includes the national-scale 3D BAG\,
  American Cities\, and Estonia datasets\, PLATEAU\, and more are being add
 ed.\n\nExisting STAC clients can browse the catalogue without modification
 \, demonstrating that 3D city model metadata integrates directly into the 
 broader geospatial data infrastructure.
LOCATION:Bakker-Nortzaal
URL:https://pretalx.com/foss4gnl/talk/T83KXS/
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