• BGS Hosted Metadata
  •   Search
  •   Map
  •  Sign in

Weighing trees with lasers project: Terrestrial Laser Scanner data collection

This dataset collection is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. The terrestrial laser scanner (TLS) was able to scan 1000s of trees in tropical forests on three continents: including Amazonia, the Congo Basin and SE Asia. The laser data measured 3D tree volume and biomass non-destructively to within a few percent of the best current estimates, made by destructive harvesting and weighing.



The project scanned all trees in multiple permanent sample plots (PSPs) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy.

Simple

Date (Publication)
Date (Creation)
Citation identifier
https://catalogue.ceda.ac.uk/uuid/ca0729ec30514a64a6ccd393eacff5f0
Citation identifier
Centre for Environmental Data Analysis (CEDA) / ca0729ec30514a64a6ccd393eacff5f0
Point of contact
Organisation name Individual name Electronic mail address Role

Unavailable

Disney, Mathias

Unavailable

Author

Unavailable

Burt, Andrew

Unavailable

Author

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Custodian

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Distributor

Unavailable

Disney, Mathias

Unavailable

pointofContact

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Publisher
Maintenance and update frequency
Unknown
Update scope
Series
Keywords
  • terrestrial laser scanner

  • raw data

  • wood density

  • forest

GEMET - INSPIRE themes, version 1.0

  • atmospheric conditions

Access constraints
Other restrictions
Other constraints
Please contact the data centre for assistance on accessing data from this dataset collection.
Use constraints
Other restrictions
Other constraints
Under the following licence http://creativecommons.org/licenses/by/4.0/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Spatial representation type
Grid
Language
English
Topic category
  • Climatology, meteorology, atmosphere
N
S
E
W
thumbnail




Begin date
2013-08-12T00:00:00
End date
2017-09-13T00:00:00
Unique resource identifier
WGS 84
Distribution format
Name Version

Contact data centre for format details.

Distributor contact
Organisation name Individual name Electronic mail address Role

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://catalogue.ceda.ac.uk/uuid/ca0729ec30514a64a6ccd393eacff5f0

CEDA Data Catalogue Page

OnLine resource
Protocol Linkage Name
https://gotw.nerc.ac.uk/list_full.asp?pcode=NE%2FN00373X%2F1&cookieConsent=A

Weighing trees with lasers

Hierarchy level
Series

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Statement

Please see data lineage statements for each dataset within this collection for data lineage details.

Metadata

File identifier
ca0729ec30514a64a6ccd393eacff5f0 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Series
Hierarchy level name

series

Date stamp
2025-08-25T02:31:07
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

atmospheric conditions


Provided by

logo

Share on social sites

Access to the catalogue
Read here the full details and access to the data.




  •   About
  •   Github
  •