Accuracy Assessment of Total Stem Volume Using Close-Range Sensing: Advances in Precision Forestry
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F21%3A89643" target="_blank" >RIV/60460709:41320/21:89643 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1999-4907/12/6/717" target="_blank" >https://www.mdpi.com/1999-4907/12/6/717</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/f12060717" target="_blank" >10.3390/f12060717</a>
Alternative languages
Result language
angličtina
Original language name
Accuracy Assessment of Total Stem Volume Using Close-Range Sensing: Advances in Precision Forestry
Original language description
Accurate collection of dendrometric information is essential for improving decision confidence and supporting potential advances in forest management planning (FMP). Total stem volume is an important forest inventory parameter that requires high accuracy. Terrestrial laser scanning (TLS) has emerged as one of the most promising tools for automatically measuring total stem height and diameter at breast height (DBH) with very high detail. This study compares the accuracy of different methods for extracting the total stem height and DBH to estimate total stem volume from TLS data. Our results show that estimates of stem volume using the random sample consensus (RANSAC) and convex hull and H-TSP methods are more accurate (bias = 0,004 for RANSAC and bias = 0,009 for convex hull and H-TSP) than those using the circle fitting method (bias = 0,046). Furthermore, the RANSAC method had the best performance with the lowest bias and the highest percentage of accuracy (78,89%). The results of this study provide
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
40102 - Forestry
Result continuities
Project
<a href="/en/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Advanced research supporting the forestry and wood-processing sector´s adaptation to global change and the 4th industrial revolution</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
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
—
Volume of the periodical
12
Issue of the periodical within the volume
6
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
14
Pages from-to
1-14
UT code for WoS article
000666543900001
EID of the result in the Scopus database
—