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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Individual tree scans by TLS: the Italian dataset

Research datakeyboard_double_arrow_right Dataset 01 Jan 2022Embargo end date: 01 Oct 2022Publisher:Zenodo
Authors: Puletti, Nicola; Guasti, Matteo; Innocenti, Simone;

doi: 10.5281/zenodo.7118104 , 10.5281/zenodo.7118103 , 10.5281/zenodo.7285178

Individual tree scans by TLS: the Italian dataset

Abstract

The dataset contains single tree scans collected in different forests, with different forest managment, mainly during leaf off conditions. Forests belong to Italian ecosystems. The objective of this dataset is to publicly share the effort made from the Laboratory of forest geomatics (ForGeoLab) of CREA Research centre for forestry and wood. Such measures can be profitably used to measure tree volume, tree biomass, and tree architectural traits, without tree felling. TLS_SingleTrees_CREA_202209.ods is a metadata file contains some info on evrey single tree of this dataset. The ascii.zip file contains single tree scans as reported in metadata file.

Keywords

above ground biomass, TLS, tree dimensional attributes, tree architectural traits, forest tree, environment

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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).
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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.
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