Terretrial LiDAR data collected from Highgate Cemetery, London, UK
<p>Terrestrial LiDAR data collected by the team at University College London.</p> <p>This is Version 1 containing raw data in RIEGL .rxp format for all scan positions as well as corresponding rotation matrices</p> <p><strong>UCL project name</strong>: 2017-08-10.001.riproject</p> <p><strong>Plot ID</strong>: HGC</p> <p><strong>State or region</strong>: London</p> <p><strong>Date project started</strong>: 8/10/2017</p> <p><strong>Area scanned</strong>: 75 m x 75 m</p> <p><strong>Instrument</strong>: UCL RIEGL VZ-400</p> <p><strong>Scan pattern</strong>: 25 positions</p> <p><strong>Angular resolution</strong>: 0.04</p> <p><strong>Images captured</strong>: Yes</p> <p><strong>Number of scans</strong>: 50.0</p> <p><strong>Publications</strong>: https://doi.org/10.1186/s13021-018-0098-0</p> <p>For more information on the methods used to capture TLS data please refer to <a href="https://doi.org/10.1016/j.rse.2017.04.030">Wilkes et al. 2017</a></p> <p>Please acknowldege the producers of this data set if using this data for publication.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 12
- Reuse readiness
- 4
- Engagement
- 4