Yield variability prediction by remote sensing sensors with different spatial resolution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F17%3A73710" target="_blank" >RIV/60460709:41310/17:73710 - isvavai.cz</a>
Alternative codes found
RIV/00027006:_____/17:00004053
Result on the web
<a href="http://dx.doi.org/10.1515/intag-2016-0046" target="_blank" >http://dx.doi.org/10.1515/intag-2016-0046</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/intag-2016-0046" target="_blank" >10.1515/intag-2016-0046</a>
Alternative languages
Result language
angličtina
Original language name
Yield variability prediction by remote sensing sensors with different spatial resolution
Original language description
Currently remote sensing sensors are very popular for crop monitoring and yield prediction. This paper describes how satellite images with moderate (Landsat satellite data) and very high (QuickBird and WorldView 2 satellite data) spatial resolution together with GreenSeeker hand held crop sensor can be used to estimate yield and crop growth variability. Winter barley (2007 and 2015) and winter wheat (2009 and 2011) were chosen because of cloud free data availability in the same time period for experimental field from Landsat satellite images and QuickBird or WorldView 2 images. Very high spatial resolution images were resampled to worse spatial resolution. Normalised difference vegetation index was derived from each satellite image data sets and it was also measured with GreenSeeker handheld crop sensor for the year 2015 only. Results showed that each satellite image data set can be used for yield and plant variability estimation. Nevertheless better results in comparison with crop yield were obtaine
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
40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
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
31
Issue of the periodical within the volume
2
Country of publishing house
PL - POLAND
Number of pages
8
Pages from-to
195-202
UT code for WoS article
000402306100006
EID of the result in the Scopus database
2-s2.0-85020404680