Cityweft’s France LOD1 Building Dataset
Cityweft’s France LOD1 building dataset delivers a nationwide, high-quality 3D building layer based on official building geometry and height attributes from the French national mapping authority, the Institut national de l’information géographique et forestière (IGN). Unlike LiDAR-derived height models, this dataset uses structured vector data provided directly by IGN, ensuring consistency with national spatial reference standards and broad geographic coverage across metropolitan France and overseas territories. Wikipedia
Data sources
- Building footprints & heights: Official dataset derived from IGN’s national topographic database (BD TOPO®) with building attribute fields (including height). geoservices.ign.fr+1
- LOD: LOD1 (extruded building volumes based on provided heights)
- Compliance: Maintained and updated in line with IGN’s data release cycles
Notes on IGN source:
- BD TOPO® is a vector database in 2D and 3D with building objects and their attributes, published at metric precision and suitable for use at large scales (e.g., 1:2000 to 1:50 000). geoservices.ign.fr+1
- These data are part of IGN’s official national geographic reference and are updated regularly, with versions published multiple times per year. UrbanSIMUL
Latest update
- The dataset reflects the most recent IGN building data releases available at time of integration
- IGN data products benefit from an ongoing national cartographic effort and structured update / revision cycles, ensuring continuity and alignment with national spatial datasets. UrbanSIMUL
Coverage and reliability
- Comprehensive coverage across France, including metropolitan areas and overseas departments and regions (DROM/COM) where supported by BD TOPO® products. Wikipedia
- High positional and attribute accuracy, derived from IGN’s official vector building data rather than estimated from imagery. geoservices.ign.fr
- Heights and building attributes reflect national standards but, as with any large-scale dataset, may include local inconsistencies or simplifications (e.g., simplified roofs, merged structures, or generalizations in complex urban contexts)