Mapping Forest Parameters to Model the Mobility of Terrain Vehicles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F24%3A43925927" target="_blank" >RIV/62156489:43410/24:43925927 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/f15111882" target="_blank" >https://doi.org/10.3390/f15111882</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/f15111882" target="_blank" >10.3390/f15111882</a>
Alternative languages
Result language
angličtina
Original language name
Mapping Forest Parameters to Model the Mobility of Terrain Vehicles
Original language description
This study aims to evaluate the feasibility of using non-contact data collection methods-specifically, UAV (unmanned aerial vehicle)-based and terrestrial laser scanning technologies-to assess forest stand passability, which is crucial for military operations. The research was conducted in a mixed forest stand in the Březina military training area, where the position of trees and their DBHs (Diameter Breast Heights) were recorded. The study compared the effectiveness of different methods, including UAV RGB imaging, UAV-LiDAR, and handheld mobile laser scanning (HMLS), in detecting tree positions and estimating DBH. The results indicate that HMLS data provided the highest number of detected trees and the most accurate positioning relative to the reference measurements. UAV-LiDAR showed better tree detection compared to UAV RGB imaging, though both aerial methods struggled with canopy penetration in densely structured forests. The study also found significant variability in DBH estimation, especially in complex forest stands, highlighting the challenges of accurate tree detection in diverse environments. The findings suggest that while current non-contact methods show promise, further refinement and integration of data sources are necessary to improve their applicability for assessing forest passability in military or rescue contexts.
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
40102 - Forestry
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
Forests
ISSN
1999-4907
e-ISSN
1999-4907
Volume of the periodical
15
Issue of the periodical within the volume
11
Country of publishing house
CH - SWITZERLAND
Number of pages
13
Pages from-to
1882
UT code for WoS article
001366919700001
EID of the result in the Scopus database
2-s2.0-85210276078