The potential of Unmanned Aerial Systems: A tool towards precision classification of hard-to-distinguish vegetation types?

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

The potential of Unmanned Aerial Systems: A tool towards precision classification of hard-to-distinguish vegetation types?

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

The potential of Unmanned Aerial Systems: A tool towards precision classification of hard-to-distinguish vegetation types?

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

20705 - Remote sensing

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

International Journal of Applied Earth Observation and Geoinformation

ISSN

0303-2434

e-ISSN

0303-2434

Svazek periodika

2018

Číslo periodika v rámci svazku

71

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

9-19

Kód UT WoS článku

000441116900002

EID výsledku v databázi Scopus

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