Terrestrial Structure from Motion Photogrammetry for Deriving Forest Inventory Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F19%3A80263" target="_blank" >RIV/60460709:41320/19:80263 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2072-4292/11/8/950/htm" target="_blank" >https://www.mdpi.com/2072-4292/11/8/950/htm</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/rs11080950" target="_blank" >10.3390/rs11080950</a>
Alternative languages
Result language
angličtina
Original language name
Terrestrial Structure from Motion Photogrammetry for Deriving Forest Inventory Data
Original language description
The measurements of tree attributes required for forest monitoring and management planning, e.g., National Forest Inventories, are derived by rather time-consuming field measurements on sample plots, using calipers and measurement tapes. Therefore, forest managers and researchers are looking for alternative methods. Currently, terrestrial laser scanning (TLS) is the remote sensing method that provides the most accurate point clouds at the plot-level to derive these attributes from. However, the demand for even more efficient and effective solutions triggers further developments to lower the acquisition time, costs, and the expertise needed to acquire and process 3D point clouds, while maintaining the quality of extracted tree parameters. In this context, photogrammetry is considered a potential solution. Despite a variety of studies, much uncertainty still exists about the quality of photogrammetry-based methods for deriving plot-level forest attributes in natural forests. Therefore, the overall goal
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
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Continuities
S - Specificky vyzkum na vysokych skolach
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
—
Volume of the periodical
11
Issue of the periodical within the volume
8
Country of publishing house
GB - UNITED KINGDOM
Number of pages
23
Pages from-to
1-23
UT code for WoS article
000467646800060
EID of the result in the Scopus database
2-s2.0-85065047023