Detailed point cloud data on stem size and shape of Scots pine trees
N. Saarinen, V. Kankare, T. Yrttimaa, N. Viljanen, E. Honkavaara, M. Holopainen, J. Hyyppa, S. Huuskonen, J. Hynynen, M. Vastaranta
Abstract
Quantitative assessment of the effects of forest management on tree size and shape has been challenging as there has been a lack of methodologies for characterizing differences and possible changes comprehensively in space and time. Terrestrial laser scanning (TLS) and photogrammetric point clouds provide three-dimensional (3D) information on tree stem reconstructions required for characterizing differences between stem shapes and growth allocation. This data set includes 3D reconstructions of stems of Scots pine (Pinus sylvestris L.) trees from sample plots with different thinning treatments. The thinning treatments include two intensities of thinning, three thinning types as well as control (i.e. no thinning treatment since the establishment). The data set can be used in developing point clouds processing algorithms for single tree stem reconstruction and for investigating variation in stem size and shape of Scots pine trees. Additionally, it offers possibilities in characterizing the effects of various thinning treatments on stem size and shape of Scots pine trees from boreal forests. Data setZenodo https://zenodo.org/record/3701271 Data set licenseAttribution 4.0 International (CC BY 4.0)
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Assessing the effects of thinning on stem growth allocation of individual Scots pine trees
N. Saarinen, V. Kankare, … M. Vastaranta·bioRxiv·Mar 2, 2020
- Unveiling effects of growth conditions on crown architecture and growth potential of Scots pine trees
N. Saarinen, V. Kankare, … M. Vastaranta·bioRxiv·Dec 13, 2021
- TLS2trees: a scalable tree segmentation pipeline for TLS data
P. Wilkes, M. I. Disney, … W. Yang·Methods in Ecology and EvolutionPeer-reviewed·Oct 21, 2023
- Reconstructing coniferous tree crown shape from incomplete point clouds using deep learning
Aline Bornand, Meinrad Abegg, … Nataliia Rehush·Ecological InformaticsPeer-reviewed·Jun 19, 2026
- Short-term thinning effect on inter- and intra-annual radial increment of Mediterranean Scots pine-oak mixed forest
J. Aldea, M. del Rio, … F. Bravo·bioRxiv·Jun 22, 2023
- Tree segmentation in airborne laser scanning data is only accurate for canopy trees
Y. Cao, J. G. C. Ball, … T. D. Jackson·bioRxiv·Nov 29, 2022