Improved method for estimating tree crown diameter using high-resolution airborne data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F16%3A00466501" target="_blank" >RIV/86652079:_____/16:00466501 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1117/1.JRS.10.026006" target="_blank" >http://dx.doi.org/10.1117/1.JRS.10.026006</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/1.JRS.10.026006" target="_blank" >10.1117/1.JRS.10.026006</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Improved method for estimating tree crown diameter using high-resolution airborne data
Popis výsledku v původním jazyce
Automatic mapping of tree crown size (radius, diameter, or width) from remote sensing can provide a major benefit for practical and scientific purposes, but requires the development of accurate methods. This study presents an improved method for average tree crown diameter estimation at a forest plot level from high-resolution airborne data. The improved method consists of the combination of a window binarization procedure and a granulometric algorithm, and avoids the complicated crown delineation procedure that is currently used to estimate crown size. The systematic error in average crown diameter estimates is corrected with the improved method. The improved method is tested with coniferous, beech, and mixed-species forest plots based on airborne images of various spatial resolutions. The absolute (quantitative) accuracy of the improved crown diameter estimates is comparable or higher for both monospecies plots and mixed-species plots than the current methods. The ability of the improved method to produce good estimates for average crown diameters for monoculture and mixed species, to use remote sensing data of various spatial resolution and to operate in automatic mode promisingly suggests its applicability to a wide range of forest systems. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Název v anglickém jazyce
Improved method for estimating tree crown diameter using high-resolution airborne data
Popis výsledku anglicky
Automatic mapping of tree crown size (radius, diameter, or width) from remote sensing can provide a major benefit for practical and scientific purposes, but requires the development of accurate methods. This study presents an improved method for average tree crown diameter estimation at a forest plot level from high-resolution airborne data. The improved method consists of the combination of a window binarization procedure and a granulometric algorithm, and avoids the complicated crown delineation procedure that is currently used to estimate crown size. The systematic error in average crown diameter estimates is corrected with the improved method. The improved method is tested with coniferous, beech, and mixed-species forest plots based on airborne images of various spatial resolutions. The absolute (quantitative) accuracy of the improved crown diameter estimates is comparable or higher for both monospecies plots and mixed-species plots than the current methods. The ability of the improved method to produce good estimates for average crown diameters for monoculture and mixed species, to use remote sensing data of various spatial resolution and to operate in automatic mode promisingly suggests its applicability to a wide range of forest systems. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
EH - Ekologie – společenstva
OECD FORD obor
—
Návaznosti výsledku
Projekt
<a href="/cs/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 - Rozvoj Centra pro studium dopadů globální změny klimatu</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Applied Remote Sensing
ISSN
1931-3195
e-ISSN
—
Svazek periodika
10
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
12
Strana od-do
—
Kód UT WoS článku
000375659100002
EID výsledku v databázi Scopus
2-s2.0-84964875639