3D point cloud fusion from UAV and TLS to assess temperate managed forest structures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F22%3A92880" target="_blank" >RIV/60460709:41320/22:92880 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1569843222001182" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1569843222001182</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jag.2022.102917" target="_blank" >10.1016/j.jag.2022.102917</a>
Alternative languages
Result language
angličtina
Original language name
3D point cloud fusion from UAV and TLS to assess temperate managed forest structures
Original language description
Light detection and ranging (LiDAR) technology has become one of the most dominant acquisition methods for modeling forest attributes, such as very accurate tree structure information, which is necessary for qualitative forest management and research activities. In this study, we evaluated the efficacy of standalone unmanned aerial vehicle-laser scanning (UAV-LS) and terrestrial laser scanning (TLS) data to accurately estimate forest tree metrics under differing management types. Furthermore, we combined the UAV-LS and TLS data to test whether fusion can improve the mapping of the three-dimensional (3D) structure of individual trees to favor accurate estimates of tree metrics. We initially calculated the percentage of point density per square meter aboveground in each height class at intervals of 1 m for the UAV-LS, TLS, and fusion datasets. This helped illustrate the vertical point density distribution that reflects the structural complexity between broadleaf and conifer trees. We then used tree-lev
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
<a href="/en/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Advanced research supporting the forestry and wood-processing sector´s adaptation to global change and the 4th industrial revolution</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Applied Earth Observation and Geoinformation
ISSN
1569-8432
e-ISSN
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Volume of the periodical
112
Issue of the periodical within the volume
2022
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
12
Pages from-to
1-12
UT code for WoS article
000844283000002
EID of the result in the Scopus database
2-s2.0-85134565162