Glasgow 3D city models derived from airborne LiDAR point clouds open data

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.

Cite this as

Glasgow City Council/Urban Big Data Centre (2024). Glasgow 3D city models derived from airborne LiDAR point clouds open data [Data set]. University of Glasgow. https://doi.org/10.20394/opvkevmj
Retrieved: 18:41 13 Jul 2024 (UTC)

Additional Info

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.

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,
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

Open Government Licence 3.0

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)
Field Name:
Description:
Type: