Landsat and Sentinel-2 images as a tool for the effective estimation of winter and spring cultivar growth and yield prediction 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%2F20%3A82360" target="_blank" >RIV/60460709:41310/20:82360 - isvavai.cz</a>
Alternative codes found
RIV/00027006:_____/20:10149653
Result on the web
<a href="http://www.international-agrophysics.org/Landsat-and-Sentinel-2-imageries-as-a-tool-for-effective-winter-and-spring-cultivar,126593,0,2.html" target="_blank" >http://www.international-agrophysics.org/Landsat-and-Sentinel-2-imageries-as-a-tool-for-effective-winter-and-spring-cultivar,126593,0,2.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.31545/intagr/126593" target="_blank" >10.31545/intagr/126593</a>
Alternative languages
Result language
angličtina
Original language name
Landsat and Sentinel-2 images as a tool for the effective estimation of winter and spring cultivar growth and yield prediction in the Czech Republic
Original language description
The influence of climate and topography on crop condition and yield estimates is most effectively monitored by non-invasive satellite imagery. This paper evaluates the efficiency of free-access Sentinel 2 and Landsat 5, 7 and 8 satellite images scanned by different sensors on wheat growth and yield prediction. Five winter and spring wheat cultivars were grown between 2005 and 2017 in a relatively small 11,5 ha field with a 6% slope. The normalized difference vegetation index was derived from the satellite images acquired for later growth phases of the wheat crops (Biologische Bundesanstalt, Bundessorenamt and Chemical industry 55 - 70) and then compared with the topography wetness index, crop yields and yield frequency maps. The results showed a better correlation of data obtained over one day (R-2 = 0,876) than data with a one-day delay (R-2 = 0,689) using the Sentinel 2 B8 band instead of the B8A band for the near-infrared part of electromagnetic spectrum in the normalized difference vegetation ind
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
40101 - Agriculture
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Agrophysics
ISSN
0236-8722
e-ISSN
2300-8725
Volume of the periodical
34
Issue of the periodical within the volume
3
Country of publishing house
PL - POLAND
Number of pages
16
Pages from-to
391-406
UT code for WoS article
000581855600010
EID of the result in the Scopus database
2-s2.0-85093658175