The noise-reduction potential of Radar Vegetation Index for crop management in the Czech Republic
The result's identifiers
Result code in 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>
Alternative codes found
RIV/60460709:41340/22:87108
Result on the web
<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>
Alternative languages
Result language
čeština
Original language name
The noise-reduction potential of Radar Vegetation Index for crop management in the Czech Republic
Original language description
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
Czech name
The noise-reduction potential of Radar Vegetation Index for crop management in the Czech Republic
Czech description
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
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
40101 - Agriculture
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Precision Agriculture
ISSN
1385-2256
e-ISSN
1573-1618
Volume of the periodical
23
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
450-469
UT code for WoS article
000692624500001
EID of the result in the Scopus database
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