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Prompt Mapping Tree Positions with Handheld Mobile Scanners Based on SLAM Technology

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F24%3AN0000034" target="_blank" >RIV/60460709:41320/24:N0000034 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/2073-445X/13/1/93" target="_blank" >https://www.mdpi.com/2073-445X/13/1/93</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/land13010093" target="_blank" >10.3390/land13010093</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Prompt Mapping Tree Positions with Handheld Mobile Scanners Based on SLAM Technology

  • Original language description

    In this study, we evaluated the performance of GeoSLAM ZEB Horizon and Stonex X120GO SLAM handheld mobile laser scanners (HMLS) to address two primary objectives. First, we aimed to assess and compare the accuracy of positioning achieved using HMLS instruments. Second, we sought to investigate the influencing factors and their impact on estimation accuracies. The factors influencing the accuracy of positioning in HMLS Simultaneous Localization and Mapping-aided solutions were defined, considering the scanner type, distance from the trajectory, forest structure, tree species, and Diameter at Breast Height. The same type of trajectory was tested in five different stand structures. The evaluation of GeoSLAM HMLS point clouds yielded an average positional RMSE of 17.91 cm, while the data extracted from the Stonex HMLS resulted in an average positional RMSE of 17.33 cm. These results underscore the significant potential of HMLS technology in addressing the critical need for precise positioning data in various applications, from forestry management to environmental monitoring, wildlife habitat assessment, and climate change studies. By harnessing the power of handheld mobile laser scanners, our research aims to enhance the accuracy and efficiency of geospatial data capture in challenging.

  • 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

    20700 - Environmental engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Land

  • ISSN

    2073-445X

  • e-ISSN

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    23

  • Pages from-to

    1-23

  • UT code for WoS article

    001151533700001

  • EID of the result in the Scopus database

    2-s2.0-85183088912