Accuracy Assessment of Total Stem Volume Using Close-Range Sensing: Advances in Precision Forestry

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Accuracy Assessment of Total Stem Volume Using Close-Range Sensing: Advances in Precision Forestry

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Accuracy Assessment of Total Stem Volume Using Close-Range Sensing: Advances in Precision Forestry

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

<a href="/cs/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Excelentní Výzkum jako podpora Adaptace lesnictví a dřevařství na globální změnu a 4. průmyslovou revoluci</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

FORESTS

ISSN

1999-4907

e-ISSN

—

Svazek periodika

12

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

14

Strana od-do

1-14

Kód UT WoS článku

000666543900001

EID výsledku v databázi Scopus

—