NERC Data Catalogue Service
Global dataset of co-incident TLS-derived and harvested tree biomass
This dataset contains aboveground biomass estimates generated using terrestrial laser scanning (TLS) techniques for different species of tree. It was used to produce the figures and statistics of the publication "Estimating forest aboveground biomass with terrestrial laser scanning: current status and future directions".
This dataset contains 391 entries. Each entry is a tree that was terrestrial laser scanned and consecutively harvested to assess its aboveground biomass (AGB). AGB was also obtained from allometric scaling equations. Several ancillary tree properties such as stem diameter, foliage conditions,... and scan metadata (type of scanner, pattern) are included. We refer to the tab 'headers' for an explanation and units of the respective columns. Elaborate method descriptions can be found in the publication or in the following publications, which can be found in the documentation sections
Simple
- Date (Publication)
- 2025-06-05T14:43:07
- Date (Creation)
- 2025-06-05T14:43:07
- Identifier
- NERC EDS Centre for Environmental Data Analysis / ddcad11fd71245d3b9d0e669b3fd9169
- Maintenance and update frequency
- unknown Unknown
- Update scope
- dataset Dataset
- Keywords
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- AGB
- TLS
- biomass
- trees
- GEMET - INSPIRE themes, version 1.0
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- orthoimagery
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- Public data: access to these data is available to both registered and non-registered users.
- Use constraints
- otherRestrictions Other restrictions
- Spatial representation type
- grid Grid
- Metadata language
- EnglishEnglish
- Topic category
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- Imagery base maps earth cover
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- Begin date
- 2015-10-01T00:00:00
- End date
- 2019-02-28T00:00:00
- Unique resource identifier
- WGS 84
- Distribution format
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Excel spreadsheet
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Excel spreadsheet
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- OnLine resource
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CEDA Data Catalogue Page
Detail and access information for the resource
- OnLine resource
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DOWNLOAD
Download Data
- OnLine resource
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Burt, A., Boni Vicari, M., da Costa, A. C. L., Coughlin, I., Meir, P., Rowland, L., et al. (2021). New insights into large tropical tree mass and structure from direct harvest and terrestrial lidar. Royal Society Open Science 8, 201458.
No further details.
- OnLine resource
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Calders, K., Newnham, G., Burt, A., Murphy, S., Raumonen, P., Herold, M., et al. (2015). Nondestructive estimates of above-ground biomass using terrestrial laser scanning. Methods in Ecology and Evolution 6, 198–208.
No further details.
- OnLine resource
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Gonzalez de Tanago, J., Lau, A., Bartholomeus, H., Herold, M., Avitabile, V., Raumonen, P., et al. (2018). Estimation of above-ground biomass of large tropical trees with terrestrial LiDAR. Methods in Ecology and Evolution 9, 223–234.
No further details.
- OnLine resource
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Hackenberg, J., Wassenberg, M., Spiecker, H., and Sun, D. (2015). Non destructive method for biomass prediction combining TLS derived tree volume and wood density. Forests 6, 1274–1300
No further details.
- OnLine resource
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Kükenbrink, D., Gardi, O., Morsdorf, F., Thürig, E., Schellenberger, A., and Mathys, L. (2021). Aboveground biomass references for urban trees from terrestrial laser scanning data. Annals of Botany, 1–16
No further details.
- OnLine resource
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Lau, A., Calders, K., Bartholomeus, H., Martius, C., Raumonen, P., Herold, M., et al. (2019). Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana. Forests 10, 527
No further details.
- OnLine resource
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Momo Takoudjou, S., Ploton, P., Sonke, B., Hackenberg, J., Griffon, S., Coligny, F., et al. (2018). Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach. Methods in Ecology and Evolution 9, 905–916
No further details.
- OnLine resource
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Stovall, A. E., Vorster, A. G., Anderson, R. S., Evangelista, P. H., and Shugart, H. H. (2017). Non-destructive aboveground biomass estimation of coniferous trees using terrestrial LiDAR. Remote Sensing of Environment 200, 31–42.
No further details.
- OnLine resource
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Dataset originally published on Zenodo but copy archived here as it was partially the result of a NERC projects
No further details.
- Hierarchy level
- dataset Dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
- File identifier
- ddcad11fd71245d3b9d0e669b3fd9169 XML
- Metadata language
- EnglishEnglish
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 UTF8
- Parent identifier
- National Centre for Earth Observation (NCEO) partnered datasets 7fe9f59731ab47b6a20e792e0cba4641
- Hierarchy level
- dataset Dataset
- Date stamp
- 2025-12-17T03:22:42
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
Overviews
Spatial extent
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