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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Smithsonian figshare
Dataset . 2021
License: CC BY
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Terrestrial laser scanning - RIEGL VZ-1000, individual tree point clouds and cylinder models, Belgian hedgerows and tree rows

Authors: Van Den Berge Sanne; Vangansbeke Pieter; Calders Kim; Vanneste Thomas; Baeten Lander; Verbeeck Hans; Krishna Moorthy Sruthi Parvathi; +1 Authors

Terrestrial laser scanning - RIEGL VZ-1000, individual tree point clouds and cylinder models, Belgian hedgerows and tree rows

Abstract

Terrestrial laser scans were acquired for 69 trees (Quercus robur: 39 trees; Alnus glutinosa: 19 trees; Betula pendula: 11 trees) in hedgerows and tree rows in agricultural lands in Flanders, Belgium. We used a RIEGL VZ-1000 terrestrial laser scanner (RIEGL Laser Measurement Systems GmbH, Austria) with a beam divergence of 0.35 mrad operating in the infrared (wavelength 1550 nm) with a range up to 1000 m. We scanned leaf-off and all recorded variables are valid for overbark measurements. Individual trees were manually extracted from the co-registered point cloud in RiSCAN PRO software (provided by RIEGL). To the extracted trees, quantitative structure models (QSM) were fitted. We used the QSMs to derive branch length (m), total wood volume (m³) and merchantable wood volume (m³, using only cylinders with diameter > 7 cm). From the point clouds, we extracted the tree structural features such as crown projection (m²), maximum crown diameter (m) and tree height (m). Biomass expansion factors (BEF) were calculated by dividing total tree volume to merchantable tree volume. We expressed the age dependency of the BEF values via non-linear regression models. See Van Den Berge et al. (2021) for further information (DOI: 10.1007/s12155-021-10250-y).

This dataset is a supplement to: Van Den Berge S, Vangansbeke P, Calders K, Vanneste T, Baeten L, Verbeeck H, Krishna Moorthy SP, Verheyen K (2021) Biomass expansion factors for hedgerow-grown trees derived from terrestrial LiDAR. BioEnergy Research. https://doi.org/10.1007/s12155-021-10250-y

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Keywords

Pharmacology, Evolutionary Biology, Ecology, Chemical Sciences not elsewhere classified, Terrestrial LiDAR, Physiology, Immunology, Plant Biology, Aboveground biomass, Cell Biology, Biomass Expansion Factor, Biochemistry, Microbiology, Tree volume, QSM method, Infectious Diseases, Hedgerows, Medicine, Molecular Biology, Biotechnology, Cancer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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