Tree parameter estimation with iPhone point cloud data using multiple algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F24%3A100362" target="_blank" >RIV/60460709:41320/24:100362 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1080/01431161.2024.2409996" target="_blank" >http://dx.doi.org/10.1080/01431161.2024.2409996</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/01431161.2024.2409996" target="_blank" >10.1080/01431161.2024.2409996</a>
Alternative languages
Result language
angličtina
Original language name
Tree parameter estimation with iPhone point cloud data using multiple algorithms
Original language description
LiDAR technology introduced the possibility of indirectly estimating various tree parameters. In 2020, Apple incorporated LiDAR sensors into their iPhone 12 Pro. This brings an opportunity to make data collection and plot scanning incredibly convenient. The main aim is to search for a tool and software to estimate the most accurate Diameter at Breast Height (DBH) for individual trees. Therefore, this study focuses on using an iPhone 12 Pro for data collection of individual trees. The performance of three software tools (ForestScanner, rTLS, RANSAC) for the estimation of DBH with field-estimated DBH was compared. The investigation of the significance of the estimation of DBH for each tree species was performed using the three algorithms. In this context, the scanning of 123 trees comprising six species: pine, oak, beech, hornbeam, spruce, and fir was done. DBH was estimated of the scanned tree point cloud using a built-in algorithm of ForestScanner application in the iPhone 12 Pro, RANSAC (CloudCompare plugin), and rTLS (an R-based package). In this study, ForestScanner showed the best results. Therefore, ForestScanner can be used as a reliable tool for measuring DBH. Inferences confirmed by ANOVA and Tukey post-hoc tests show that species significantly influence DBH. Accurate DBH estimation is crucial, and using lightweight devices like the iPhone can revolutionize the forest inventory sector in terms of the estimation of DBH.
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
20700 - Environmental engineering
Result continuities
Project
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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
INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN
0143-1161
e-ISSN
0143-1161
Volume of the periodical
2024
Issue of the periodical within the volume
18.0
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
18
Pages from-to
1-18
UT code for WoS article
001331842400001
EID of the result in the Scopus database
2-s2.0-85206572899