Field test of canopy cover estimation by hemispherical photographs taken with a smartphone
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F16%3A00088740" target="_blank" >RIV/00216224:14310/16:00088740 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1111/jvs.12350" target="_blank" >http://dx.doi.org/10.1111/jvs.12350</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/jvs.12350" target="_blank" >10.1111/jvs.12350</a>
Alternative languages
Result language
angličtina
Original language name
Field test of canopy cover estimation by hemispherical photographs taken with a smartphone
Original language description
AimTo test the Canopy Cover (CaCo) index for forest vegetation research estimation of canopy cover from hemispherical photographs, and introduce a new Android smartphone application for use of this index. MethodsThe original and modified CaCo index were evaluated using a data set of 234 hemispherical photographs taken in 78 plots in coniferous, mixed and broad-leaved deciduous forests. The results of the CaCo analysis of these photographs were compared with expert field visual estimation of canopy cover of these plots. For each hemispherical photograph, several CaCo values were calculated based on the photograph being restricted to different degrees by artificial horizon masking. The CaCo index was also tested with respect to precision of canopy cover estimation and sensitivity to different photographic equipment, using a different set of 93 canopy photographs taken in mixed and coniferous forests.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EF - Botany
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP505%2F11%2F0732" target="_blank" >GAP505/11/0732: Generalized supervised classification in community ecology</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Vegetation Science
ISSN
1100-9233
e-ISSN
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Volume of the periodical
27
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
427-435
UT code for WoS article
000370621500021
EID of the result in the Scopus database
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