ddcad11fd71245d3b9d0e669b3fd9169 English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 7fe9f59731ab47b6a20e792e0cba4641 dataset NERC EDS Centre for Environmental Data Analysis 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact 2026-05-06T02:25:09 UK GEMINI 2.3 WGS 84 Global dataset of co-incident TLS-derived and harvested tree biomass 2025-06-05T14:43:07 publication 2025-06-05T14:43:07 creation https://catalogue.ceda.ac.uk/uuid/ddcad11fd71245d3b9d0e669b3fd9169 ddcad11fd71245d3b9d0e669b3fd9169 NERC EDS Centre for Environmental Data Analysis 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 Demol, Miro Unavailable author Unavailable author Verbeeck, Hans Unavailable author Unavailable author Gielen, Bert Unavailable author Unavailable author Armston, John Unavailable author Unavailable author Burt, Andrew Unavailable author Unavailable author Disney, Mathias Unavailable author Unavailable author Duncanson, Laura Unavailable author Unavailable author Hackenberg, Jan Unavailable author Unavailable author Kükenbrink, Daniel Unavailable author Unavailable author Lau, Alvaro Unavailable author Unavailable author Ploton, Pierre Unavailable author Unavailable author Sewdien, Artie Unavailable author Unavailable author Stovall, Atticus Unavailable author Unavailable author Momo Takoudjou, Stéphane Unavailable author Unavailable author Volkova, Liubov Unavailable author Unavailable author Weston, Chris Unavailable author Unavailable author Worte, Verginia Unavailable author Unavailable author Calders, Kim Unavailable author Unavailable author NERC EDS Centre for Environmental Data Analysis custodian 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk custodian NERC EDS Centre for Environmental Data Analysis distributor 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor Calders, Kim Unavailable principal_investigator Unavailable principalInvestigator Disney, Mathias Unavailable principal_investigator Unavailable principalInvestigator Kutsch, Werner Unavailable principal_investigator Unavailable principalInvestigator Mitchard, Edward T.A. Unavailable principal_investigator Unavailable principalInvestigator NERC EDS Centre for Environmental Data Analysis point_of_contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointofContact NERC EDS Centre for Environmental Data Analysis publisher 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk publisher notPlanned dataset AGB TLS biomass trees orthoimagery theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication otherRestrictions Public data: access to these data is available to both registered and non-registered users. otherRestrictions 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. grid English imageryBaseMapsEarthCover -180.0 180.0 -90.0 90.0 2015-10-01T00:00:00 2019-02-28T00:00:00 Excel spreadsheet and two csv file of the individual workbook spreadsheets for longterm archival purposes NERC EDS Centre for Environmental Data Analysis Data Center Contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor https://catalogue.ceda.ac.uk/uuid/ddcad11fd71245d3b9d0e669b3fd9169 CEDA Data Catalogue Page Detail and access information for the resource information http://data.ceda.ac.uk/neodc/tls/data/global/tls_tree_biomass/ DOWNLOAD Download Data download https://royalsocietypublishing.org/doi/10.1098/rsos.201458 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. information https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.12301 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. information https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.12904 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. information https://www.mdpi.com/1999-4907/6/4/1274 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. information https://academic.oup.com/aob/article/128/6/709/6165072 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. information https://www.mdpi.com/1999-4907/10/6/527 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. information https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.12933 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. information https://www.sciencedirect.com/science/article/abs/pii/S0034425717303668 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. information https://zenodo.org/records/5236762 Dataset originally published on Zenodo but copy archived here as it was partially the result of a NERC projects No further details. information https://biblio.ugent.be/publication/8686606 Demol, M., Calders, K., Krishna Moorthy, S. M., Van den Bulcke, J., Verbeeck, H., and Gielen, B. (2021). Consequences of vertical basic wood density variation on the estimation of aboveground biomass with terrestrial laser scanning. No further details. information dataset 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 2010-12-08 Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).