Integration of tree allometry rules to treetops detection and tree crowns delineation using airborne lidar data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F17%3A75554" target="_blank" >RIV/60460709:41320/17:75554 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3832/ifor2093-010" target="_blank" >http://dx.doi.org/10.3832/ifor2093-010</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3832/ifor2093-010" target="_blank" >10.3832/ifor2093-010</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Integration of tree allometry rules to treetops detection and tree crowns delineation using airborne lidar data

Popis výsledku v původním jazyce

Airborne laser scanning (ALS) has recently gained increasing attention in forestry, as ALS data may facilitate the efficient assessment of forest inventory attributes and ecological indicators related to forest stand structure. This paper presents a novel workflow for individual tree detection and tree crown delineation using ALS data. The developed point-based approach included several tree allometry rules on permissible tree heights and crown dimensions to increase the likelihood of detecting the actual tree profiles. The accuracy of the method was assessed in a heterogeneous forest with a complex stand structure in Slovakia (Central Europe). ALS measurements were taken using a RIEGL Q680i scanner at 700 m of height with a point density of 20 echoes per m2. The ground reference data included the measured positions and dimensions of 1332 trees in nine plots distributed across the region. We found that the number of individual trees detected by the algorithm using ALS data was systematically underest

Název v anglickém jazyce

Integration of tree allometry rules to treetops detection and tree crowns delineation using airborne lidar data

Popis výsledku anglicky

Airborne laser scanning (ALS) has recently gained increasing attention in forestry, as ALS data may facilitate the efficient assessment of forest inventory attributes and ecological indicators related to forest stand structure. This paper presents a novel workflow for individual tree detection and tree crown delineation using ALS data. The developed point-based approach included several tree allometry rules on permissible tree heights and crown dimensions to increase the likelihood of detecting the actual tree profiles. The accuracy of the method was assessed in a heterogeneous forest with a complex stand structure in Slovakia (Central Europe). ALS measurements were taken using a RIEGL Q680i scanner at 700 m of height with a point density of 20 echoes per m2. The ground reference data included the measured positions and dimensions of 1332 trees in nine plots distributed across the region. We found that the number of individual trees detected by the algorithm using ALS data was systematically underest

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

IForest

ISSN

1971-7458

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

APR

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

9

Strana od-do

459-467

Kód UT WoS článku

000399376000002

EID výsledku v databázi Scopus

2-s2.0-85019565018