Determining tree height and crown diameter from high-resolution UAV imagery

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F17%3A74983" target="_blank" >RIV/60460709:41320/17:74983 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1080/01431161.2016.1264028" target="_blank" >http://dx.doi.org/10.1080/01431161.2016.1264028</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/01431161.2016.1264028" target="_blank" >10.1080/01431161.2016.1264028</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Determining tree height and crown diameter from high-resolution UAV imagery

Popis výsledku v původním jazyce

Advances in computer vision and the parallel development of unmanned aerial vehicles (UAVs) allow for the extensive use of UAV in forest inventory and in indirect measurements of tree features. We used UAV-sensed high-resolution imagery through photogrammetry and Structure from Motion (SfM) to estimate tree heights and crown diameters. We reconstructed 3D structures from 2D image sequences for two study areas (25 x 25 m). Species composition for Plot 1 included Norway spruce (Picea abies L.) together with European larch (Larix decidua Mill.) and Scots pine (Pinus sylvestris L.), whereas Plot 2 was mainly Norway spruce and Scots pine together with scattered individuals of European larch and Silver birch (Betula pendula Roth.). The involved workflow used canopy height models (CHMs) for the extraction of height, the smoothing of raster images for the determination of the local maxima, and Inverse Watershed Segmentation (IWS) for the estimation of the crown diameters with the help of a geographical infor

Název v anglickém jazyce

Determining tree height and crown diameter from high-resolution UAV imagery

Popis výsledku anglicky

Advances in computer vision and the parallel development of unmanned aerial vehicles (UAVs) allow for the extensive use of UAV in forest inventory and in indirect measurements of tree features. We used UAV-sensed high-resolution imagery through photogrammetry and Structure from Motion (SfM) to estimate tree heights and crown diameters. We reconstructed 3D structures from 2D image sequences for two study areas (25 x 25 m). Species composition for Plot 1 included Norway spruce (Picea abies L.) together with European larch (Larix decidua Mill.) and Scots pine (Pinus sylvestris L.), whereas Plot 2 was mainly Norway spruce and Scots pine together with scattered individuals of European larch and Silver birch (Betula pendula Roth.). The involved workflow used canopy height models (CHMs) for the extraction of height, the smoothing of raster images for the determination of the local maxima, and Inverse Watershed Segmentation (IWS) for the estimation of the crown diameters with the help of a geographical infor

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

INTERNATIONAL JOURNAL OF REMOTE SENSING

ISSN

0143-1161

e-ISSN

—

Svazek periodika

38

Číslo periodika v rámci svazku

8-10

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

19

Strana od-do

2392-2410

Kód UT WoS článku

000397995100022

EID výsledku v databázi Scopus

2-s2.0-85002412635