Determining tree height and crown diameter from high-resolution UAV imagery
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Determining tree height and crown diameter from high-resolution UAV imagery
Original language description
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
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40102 - Forestry
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN
0143-1161
e-ISSN
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Volume of the periodical
38
Issue of the periodical within the volume
8-10
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
19
Pages from-to
2392-2410
UT code for WoS article
000397995100022
EID of the result in the Scopus database
2-s2.0-85002412635