Published October 5, 2023 | Version Version 1
Dataset Open

Terrestrial laser scanning data of urban trees in Milton Keynes, UK: individual trees and Treegraph outputs

  • 1. ROR icon University College London
  • 2. ROR icon National Centre for Earth Observation

Description

This dataset was used for the analysis of the following publication:

Yang, W., Wilkes, P., Vicari, M.B., Hand, K., Calders, K. and Disney, M., 2024. Treegraph: tree architecture from terrestrial laser scanning point clouds. Remote Sensing in Ecology and Conservation.

Any use of this dataset should cite the paper above (Creative Commons Attribution NonCommercial License).

 

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TLS_point_clouds:

- Data collection: Terrestrial laser scanning data acquired in leaf-off condition in April 2021.

- Scanning instrument: We used a RIEGL VZ-400 with a wavelength of 1550 nm, 0.35 mrad beam divergence and 0.04˚ angular resolution.

- Locations: The data were collected from three sites in Milton Keynes, UK: Avebury Blvd (Ave), Dansteed Way (Dan), and Overgate (Ove).

- File information: Each file is an individual leaf-off tree point cloud in Polygon File Format (.ply), which can be viewed in software such as CloudCompare.

 

Treegraph_outputs:

- Description: Model outputs from Treegraph for individual trees.

- File naming convention: [TreeID]-[downsample_voxel_length]-[tip_diameter_if_known].*

  • *.centres.ply: Skeleton nodes of individual trees.
  • *.mesh.ply: Cylinder model of individual trees.
  • *.json: Geometrical and topological attributes at varying scales, from internode and branch to the whole tree.
  • *.txt: Summary of input parameters, logs of intermediate steps, and a statistical overview of whole-tree structural attributes.

Files

TLS_point_clouds.zip

Files (1.9 GB)

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md5:1020dd4c5738cf0f5aebefda083c7f55
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md5:781eb87bcccc953e1d40602d2932f5b4
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