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Dataset

 

SPLICE project: Canopy inputs for the DART model derived from Terrestrial Laser Scans

Latest Data Update: 2026-04-01
Status: Completed
Online Status: ONLINE
Publication State: Preview
Publication Date:

THIS RECORD HAS NOT BEEN PUBLISHED YET - PREVIEW ONLY!
Abstract

This dataset contains terrestrial laser scanning (TLS) processed from eleven forest plots for use as inputs to the DART (Discrete Anisotropic Radiative Transfer) explicit radiative transfer model (Gastellu-Etcheggory et al. 2015).

The forest plots are located across the globe in different habitats, and the largest is 120 m x 120 m. The terrestrial laser scanning was completed during the leaf-on period. Full details of the eleven forest sites can be found in the documentation_dart_scenes pdf archived with the data.

TLS data were collected using the sampling protocol of Wilkes et al. (2017), using a RIEGL VZ400. A spatial estimate of leaf area index (LAI) was derived and then voxelised, with most scenes following the method of Jupp and Lovell (2007), where PAVD (Plant Area Volume Density) is derived from gap probability derived from the TLS data (Calders et al. 2014). The LAI for Wytham Woods uses a radiative transfer model, and hemispherical photography (Calders et al. 2018a,b), allowing a LAI to be estimates at a finer resolution than the collected TLS.

This data is then additionally processed using python into .txt files that can be modified and input into the DART model.

Further information is available in the documentation section.

Citable as:  [ PROVISIONAL ] Stretton, M.; Quaife, T.; Disney, M.; Chavana-Bryant, C.; Wilkes, P. (9999): SPLICE project: Canopy inputs for the DART model derived from Terrestrial Laser Scans. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/e08ec540d696474e81b327746ba6f91f

Abbreviation: Not defined
Keywords: DART model, TLS, forest, vegetation, radiative transfer

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s):
http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).

Data Quality:
The data was vaildated by the NCEO project team at the University of Reading
File Format:
PDF, XML and text formats File structure: Data is provided for each forest scene using the collected resolution of the TLS (as above). The files that each scene correspond to are given in the he documentation_dart_scenes pdf archived with the data. The .txt files provided are structured using the DART standard format for plots.txt files. Full details of these can found in the DART model documentation. The headers and a brief description are also given in the documentation_dart_scenes pdf archived with the data.

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Computation Element: 1

Title SPLICE project: Canopy inputs for the DART model derived from Terrestrial Laser Scans
Abstract A spatial estimate of leaf area index (LAI) was derived and then voxelised, with most scenes following the method of Jupp and Lovell (2007), where PAVD (Plant Area Volume Density) is derived from gap probability derived from the TLS data (Calders et al. 2014). The LAI for Wytham Woods uses a radiative transfer model, and hemispherical photography (Calders et al. 2018a,b), allowing a LAI to be estimates at a finer resolution than the collected TLS. This data is then additionally processed using python into .txt files that can be modified and input into the DART model.
Input Description None
Output Description None
Software Reference None
Output Description

None

No variables found.

Coverage
Temporal Range
Start time:
2023-07-17T00:00:00
End time:
2023-07-18T00:00:00
Geographic Extent

 
51.1556°
 
51.1551°
 
-0.8639°
 
-0.8648°