Data from "Integrating Terrestrial and Canopy Laser Scanning for Comprehensive Analysis of Large Old Trees: Implications for Single Tree and Biodiversity Research"

This dataset was used for the analysis of the following publication: Integrating Terrestrial and Canopy Laser Scanning for Comprehensive Analysis of Large Old Trees: Implications for Single Tree and Biodiversity Research D’hont, B, Calders, K, Antonelli, A, Berg, T, Cherlet, W., Dayal, K., Fitzpatrick, O J, Hambrecht, L, Leponce, M, Lucieer, A, Pascal, O, Raumonen, P, Verbeeck, H. Remote Sensing in Ecology and Conservation (accepted) Any use of this dataset should cite the paper above (Creative Commons Attribution 4.0 International Public License). Contact: [e-mail] ================================================ Dataset================================================ General: We collected terrestrial laser scanning (TLS) data and canopy laser scanning (CLS) data for six large old trees across diverse forest types. Three trees (PER1, PER2, COL; aka LOT01, 2, 3) are part of the Life On Trees core program (www.lifeontrees.org), one tree (BRA) is in Brazil's Atlantic Forest, part of the Atlantic Forest Research and Conservation Alliance hosted by the Hidden Universe: Biodiversity initiative (www.hu-b.org). Two trees (AUS1, AUS2) are famous giants located in the Huon (AUS2, 'Lathamus Keep') and Styx Valley (AUS1, 'Gandalf's staff'), in Tasmania (Southern Australia). Data was collected using a RIEGL VZ-400(i). Ground scans were collected in a circular pattern around the tree where possible. Canopy scans were conducted at multiple locations that were vertically and horizontally distributed in the trees. More information on the data collection and methods can be found in the publication. Datasets: tls: terrestrial laser scanning; clstls: canopy laser scanning + terrestrial laser scanning 1) tree point clouds: pc_*TREEID*_(cls)tls_1cm_SOR_6_10. point cloud downsampled to 1 cm using RiSCAN PRO’s octree-based method, followed by a significant outlier remover (nn=6, sd = 10) in CloudCompare version 2.13. 2) wood points: *TREEID*_(cls)tls_wood.txt. in *TREEID*_(cls)tls_wood_bottomcut.txt, this point cloud was manually cleaned at the bottom to improve QSM generation. 3) *TREEID*_(cls)tls_wood.mat: QSMs (version 2.4), created from the wood points. 4) scanlocations_*date*_*TREEID*.csv: scanlocations of the scans. 5) tlscls_bromeliads.las, tls_bromeliads.las: segmented bromeliads from PER2 tree. tlscls_bromeliadsleafwood_coloured.las: 5x5x5 section coloured (leaf, wood, bromeliads) ================================================ Funding================================================ BD was supported by FWO (PhD fellowship Strategic Basic Research) [grant number 1S26724N]. AA was supported by the Swedish Research Council [grant number 2019-05191], the Swedish Foundation for Strategic Environmental Research MISTRA [Project BioPath] and the Kew Foundation. KC and WC were supported by the European Union [ERC-2021-STG Grant agreement No. 101039795]. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. The “Life on Trees” (LOT) Program was supported by the Fonds de Dotation Biotope pour la Nature. The Tasmanian campaign was supported by the Australian Research Council (ARC) [grant numbers DP180103460, LP170101090].