Improved method for estimating tree crown diameter using high-resolution airborne data

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Improved method for estimating tree crown diameter using high-resolution airborne data

Original language description

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)

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

EH - Ecology - communities

OECD FORD branch

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Project

<a href="/en/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

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

Name of the periodical

Journal of Applied Remote Sensing

ISSN

1931-3195

e-ISSN

—

Volume of the periodical

10

Issue of the periodical within the volume

2

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

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UT code for WoS article

000375659100002

EID of the result in the Scopus database

2-s2.0-84964875639