An approach for tree volume estimation using RANSAC and RHT algorithms from TLS dataset

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F22%3A94462" target="_blank" >RIV/60460709:41320/22:94462 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s12518-022-00471-x" target="_blank" >https://link.springer.com/article/10.1007/s12518-022-00471-x</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s12518-022-00471-x" target="_blank" >10.1007/s12518-022-00471-x</a>

Jazyk výsledku

angličtina

Název v původním jazyce

An approach for tree volume estimation using RANSAC and RHT algorithms from TLS dataset

Popis výsledku v původním jazyce

Forest structure plays a crucial role in maintaining the ecosystem balance. All the biogeochemical cycles need trees for the successful execution of the processes. Nowadays, one of the most critical concerns is the accurate and precise assessment of forest biomass. The biomass assessment can be done by knowing the canopy metrics, stem volume, and specific wood gravity. This research used a terrestrial laser scanner (TLS) to retrieve tree parameters, providing point cloud data (PCD). The parameters derived from PCD are diameter at breast height (DBH) and tree height using randomized Hough transformation (RHT). With these tree parameters, the stem volume of the tree was calculated and correlated with the Forest Survey of India (FSI) equation. The radius, DBH, tree height, and stem volume were also obtained using the Random Sample Consensus (RANSAC) algorithm. The volume calculated using the RANSAC algorithm is statistically analyzed with the volume calculated with the FSI equations available for specif

Název v anglickém jazyce

An approach for tree volume estimation using RANSAC and RHT algorithms from TLS dataset

Popis výsledku anglicky

Forest structure plays a crucial role in maintaining the ecosystem balance. All the biogeochemical cycles need trees for the successful execution of the processes. Nowadays, one of the most critical concerns is the accurate and precise assessment of forest biomass. The biomass assessment can be done by knowing the canopy metrics, stem volume, and specific wood gravity. This research used a terrestrial laser scanner (TLS) to retrieve tree parameters, providing point cloud data (PCD). The parameters derived from PCD are diameter at breast height (DBH) and tree height using randomized Hough transformation (RHT). With these tree parameters, the stem volume of the tree was calculated and correlated with the Forest Survey of India (FSI) equation. The radius, DBH, tree height, and stem volume were also obtained using the Random Sample Consensus (RANSAC) algorithm. The volume calculated using the RANSAC algorithm is statistically analyzed with the volume calculated with the FSI equations available for specif

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Applied Geomatics

ISSN

1866-9298

e-ISSN

—

Svazek periodika

14

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

785-794

Kód UT WoS článku

000869189600001

EID výsledku v databázi Scopus

2-s2.0-85139873557