The noise-reduction potential of Radar Vegetation Index for crop management in the Czech Republic
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F22%3A87108" target="_blank" >RIV/60460709:41310/22:87108 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/60460709:41340/22:87108
Výsledek na webu
<a href="https://doi.org/10.1007/s11119-021-09844-5" target="_blank" >https://doi.org/10.1007/s11119-021-09844-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11119-021-09844-5" target="_blank" >10.1007/s11119-021-09844-5</a>
Alternativní jazyky
Jazyk výsledku
čeština
Název v původním jazyce
The noise-reduction potential of Radar Vegetation Index for crop management in the Czech Republic
Popis výsledku v původním jazyce
Wheat and rapeseed are significant crops in Czech agriculture and remote sensing has huge potential for their management, given Sentinel-1 can overcome issues of cloudiness and monitor vegetation development via radar backscatter. This study compares radar and optical data characterizing the development of wheat and rapeseed in an agricultural cooperative in the Czech Republic. Radar Vegetation Index (RVI) and Normalized Difference Vegetation Index (NDVI) time-series of the main vegetation seasons between 2015 and 2018 are processed, analysed, and compared with each other. In 2018, the comparison of data with ground measurement by camera was also used. The temporal development of RVI is affected by noise, which is caused by the composition of imagery from different Relative orbits. The separation of imagery according to the Relative orbit used seemed to provide results more comparable to the phenological curve. Simple linear regression between NDVI and RVI illustrated that considering Rela
Název v anglickém jazyce
The noise-reduction potential of Radar Vegetation Index for crop management in the Czech Republic
Popis výsledku anglicky
Wheat and rapeseed are significant crops in Czech agriculture and remote sensing has huge potential for their management, given Sentinel-1 can overcome issues of cloudiness and monitor vegetation development via radar backscatter. This study compares radar and optical data characterizing the development of wheat and rapeseed in an agricultural cooperative in the Czech Republic. Radar Vegetation Index (RVI) and Normalized Difference Vegetation Index (NDVI) time-series of the main vegetation seasons between 2015 and 2018 are processed, analysed, and compared with each other. In 2018, the comparison of data with ground measurement by camera was also used. The temporal development of RVI is affected by noise, which is caused by the composition of imagery from different Relative orbits. The separation of imagery according to the Relative orbit used seemed to provide results more comparable to the phenological curve. Simple linear regression between NDVI and RVI illustrated that considering Rela
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
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OECD FORD obor
40101 - Agriculture
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Precision Agriculture
ISSN
1385-2256
e-ISSN
1573-1618
Svazek periodika
23
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
20
Strana od-do
450-469
Kód UT WoS článku
000692624500001
EID výsledku v databázi Scopus
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