Glasgow 3D city models derived from airborne LiDAR point clouds open data
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Scottish Remote Sensing Portal
Airborne LiDAR point clouds, DTM and DSM are available at Scottish Remote...
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Glasgow urban model
An old version of Glasgow 3D city models in the city centre area is available.
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Old Glasgow 3D city model data at LOD 2 level
The old version of Glasgow 3D city model data is available for download via...
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Additional Info
| Fields | Value |
|---|---|
| Title | Glasgow 3D city models derived from airborne LiDAR point clouds open data |
| Alternative title | |
| URL | glasgow-3d-city-models-derived-from-airborne-lidar-point-clouds-open-data |
| Description | UBDC generates 3D city models via the airborne LiDAR point clouds acquired between 2020-2021 on behalf of Glasgow City Council. It is a large-scale 3D city model containing 3D information on terrain, trees, and buildings in Glasgow City. This dataset comprises terrain, tree canopy, and building products derived from high-density airborne LiDAR data. |
| Content | The terrain products include Digital Terrain Model (DTM), Digital Surface Model (DSM), and normalized Digital Surface Model (nDSM) in 0.5 m spatial resolution. The DTM and DSM rasters were provided by the vendor and nDSM rasters were obtained by subtracting DTM from DSM. Terrain products are provided in 5 km by 5 km GeoTIF format raster. The tree canopy products are composed of canopy height models (CHM) and tree top locations. Classified tree point clouds were applied with pit-free algorithm to generate CHM in 0.5 m grid raster in GeoTIF format [1]-[2]. Treetop locations were identified by using Local Maximum Filter based on CHM and are recorded as points in Shapefile format. The tree canopy products are provided in 5 km by 5 km tiles. 0.5 m^3 voxels (cubic pixels) were generated from tree LiDAR point clouds. Multiplication of the voxel’s count by the volume of a single voxel to compute the total volume of vegetation. The volume of vegetation is also presented in raster as a sum of voxels and in the grid with cells of a spatial resolution of 10m, 50m, and 100 m respectively. Building 3D model products include footprint polygons with building height attributes and 3D mesh of building models in LoD1 and LoD2 levels. A series of processes such as converting building point clouds to building height models (BHM), converting BHM to polygons, and polygon regularization were conducted to obtain the building footprint polygons. Building height attributes were calculated from BHM for each footprint. The building footprint data are provided in Shapefile format. LoD1 models were generated based on the footprint and average height of the building. LoD2 models were constructed based on footprint and building point cloud with City3D tool[3]. LoD1 and LoD2 models are provided in OBJ and shapefile format. Building 3D model products are provided in 5 km by 5 km tiles. References: [1] Khosravipour, A., Skidmore, A. K., Isenburg, M., Wang, T., & Hussin, Y. A. (2014). Generating pit-free canopy height models from airborne lidar. Photogrammetric Engineering & Remote Sensing, 80(9), 863-872. [2] Roussel, J. R., Auty, D., Coops, N. C., Tompalski, P., Goodbody, T. R., Meador, A. S., ... & Achim, A. (2020). lidR: An R package for analysis of Airborne Laser Scanning (ALS) data. Remote Sensing of Environment, 251, 112061. [3] Huang, J., Stoter, J., Peters, R., & Nan, L. (2022). City3D: Large-scale building reconstruction from airborne LiDAR point clouds. Remote Sensing, 14(9), 2254. Other resources:
Airborne LiDAR point clouds, DTM and DSM are available at Scottish Remote Sensing Portal, |
| Subjects | Urban Planning |
| Topics | |
| Dataset Citation | Urban Big Data Centre/Glasgow City Council. Economic and Social Research Council. Glasgow 3D City Models Derived from Airborne LiDAR Point Clouds – Open Data, 2024 [data collection]. University of Glasgow - Urban Big Data Centre. |
| Time Period Coverage | LiDAR data was acquired from 2020-2021 |
| Geographical Coverage | Glasgow City, UK |
| Spatial Units | |
| Observation Units | |
| Resource Type | dataset |
| Data Format | LiDAR Point clouds, text file, raster, shapefile, 3D mesh |
| Weighting | |
| Method of Collection | LiDAR data was acquired from 2020-2021 |
| Collection Status | |
| Dataset Aggregation | |
| Data Owner | Glasgow City Council/Urban Big Data Centre |
| Data Owner Url | https://ubdc.ac.uk/ |
| License | uk-ogl |
| Licence Specifics | |
| Provider | b2ba2219-ff6c-461a-a746-e762ef7600fd |
| Version | |
| Dataset Available | |
| Dataset Closed | |
| Dataset Valid | |
| Dataset Updating Frequency | |
| Dataset Next Version Due | |
| Date Published | 2024-04-04 |
| Date of Fieldwork | |
| Dataset File Type | |
| Dataset File Size | 1.5MB |
| Dataset Creation Date | |
| Dataset Access Restrictions | Open Dataset |
| Metadata Created Date | 2024-04-04 |
| Metadata Created Institution | Urban Big Data Centre |
| Dataset Fields (1) |