Processing Chain for Estimation of Tree Diameter from GNSS-IMU-Based Mobile Laser Scanning Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F19%3A81261" target="_blank" >RIV/60460709:41320/19:81261 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2072-4292/11/6/615/htm" target="_blank" >https://www.mdpi.com/2072-4292/11/6/615/htm</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/rs11060615" target="_blank" >10.3390/rs11060615</a>
Alternative languages
Result language
angličtina
Original language name
Processing Chain for Estimation of Tree Diameter from GNSS-IMU-Based Mobile Laser Scanning Data
Original language description
Mobile laser scanning (MLS) is a progressive technology that has already demonstrated its ability to provide highly accurate measurements of road networks. Mobile innovation of the laser scanning has also found its use in forest mapping over the last decade. In most cases, existing methods for forest data acquisition using MLS result in misaligned scenes of the forest, scanned from different views appearing in one point cloud. These difficulties are caused mainly by forest canopy blocking the global navigation satellite system (GNSS) signal and limited access to the forest. In this study, we propose an approach to the processing of MLS data of forest scanned from different views with two mobile laser scanners under heavy canopy. Data from two scanners, as part of the mobile mapping system (MMS) Riegl VMX-250, were acquired by scanning from five parallel skid trails that are connected to the forest road. Misaligned scenes of the forest acquired from different views were successfully extracted from the
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Remote Sensing
ISSN
2072-4292
e-ISSN
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Volume of the periodical
11
Issue of the periodical within the volume
6
Country of publishing house
GB - UNITED KINGDOM
Number of pages
25
Pages from-to
1-25
UT code for WoS article
000465615300014
EID of the result in the Scopus database
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