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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20705 - Remote sensing

Result continuities

  • Project

  • 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