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Dataset . 2021
License: CC BY
Data sources: ZENODO
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License: CC BY
Data sources: Datacite
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Dataset . 2020
Data sources: Datacite
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Dataset . 2020
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Supplementary Material: "A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data"

Authors: Melissa Latella; Fabio Sola; Carlo Camporeale;

Supplementary Material: "A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data"

Abstract

Supplementary Material This material regards the paper entitled "A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data". The Readme.txt file explains all the contents of the data package, which consists of the data supporting the paper and the MATLAB script for the Individual Tree Detection and Measurement (ITDM). Please cite the related article if using the data or the script. Latella, M., Sola, F., & Camporeale, C. (2021). A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data. Remote Sensing, 13(2), 322.

{"references": ["Latella, M., Sola, F., & Camporeale, C. (2021). A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data. Remote Sensing, 13(2), 322."]}

Related Organizations
Keywords

MATLAB script, airborne LiDAR data, individual tree identification, point cloud processing, forest inventories

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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.
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influence
This indicator 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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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