The potential of Unmanned Aerial Systems: A tool towards precision classification of hard-to-distinguish vegetation types?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F18%3A76762" target="_blank" >RIV/60460709:41330/18:76762 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.jag.2018.05.003" target="_blank" >http://dx.doi.org/10.1016/j.jag.2018.05.003</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jag.2018.05.003" target="_blank" >10.1016/j.jag.2018.05.003</a>
Alternative languages
Result language
angličtina
Original language name
The potential of Unmanned Aerial Systems: A tool towards precision classification of hard-to-distinguish vegetation types?
Original language description
Detail plant species classification using very high spatial resolution data is a challenging task. Exploring the potential of imagery acquired by Unmanned Aerial Vehicle (UAV) to identify individual species of plants and assessing values of additional inputs such as height and thermal information into classification process are hot research topics. Our study uses a fusion of visible, multispectral and thermal imagery acquired through the low altitude aerial survey for detail classification of land cover and vegetation types. The study area is located in the central part of the Czech Republic and situated in an environmentally specific area - an arboretum of 2,45 ha. Visible (i.e. RGB), multispectral, and thermal sensors were mounted on a flying fixed-wing Unmanned Aerial System. The imagery was acquired at a very detailed scale with Ground Sampling Distance of 3-18 cm. Besides three mosaics (one from each sensor), normalized Digital Surface Models were built from visible and multispectral sensors. Ei
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
20705 - Remote sensing
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
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 Applied Earth Observation and Geoinformation
ISSN
0303-2434
e-ISSN
0303-2434
Volume of the periodical
2018
Issue of the periodical within the volume
71
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
11
Pages from-to
9-19
UT code for WoS article
000441116900002
EID of the result in the Scopus database
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