Application of multispectral remote sensing indices for estimating crop yields at field level
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F17%3A43912931" target="_blank" >RIV/62156489:43210/17:43912931 - isvavai.cz</a>
Result on the web
<a href="http://czechglobe.cz/media/filer_public/7e/6c/7e6c2a83-5ad2-4dd8-96a5-4bd04bf8e539/201712_sbornik_quovaditis_komplet_lq.pdf" target="_blank" >http://czechglobe.cz/media/filer_public/7e/6c/7e6c2a83-5ad2-4dd8-96a5-4bd04bf8e539/201712_sbornik_quovaditis_komplet_lq.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application of multispectral remote sensing indices for estimating crop yields at field level
Original language description
Remote sensing can be used for yield estimation prior to harvest and can replace or complement classical ways of estimating crop yields. This study was undertaken in Polkovice, located in the Czech Republic's Haná region. For 2015 and 2016, two data sets of satellite imagery were used: the Moderate Resolution Imaging Spectroradiometer and the Landsat 8. Vegetation indices from satellites were compared with crop yields at the level of land blocks. Winter wheat and spring barley yield data, representing crops planted over the analysed period, were used for the comparison. The results of the index-yield comparison showed that vegetation indices from remote sensing data provide reliable information for yield estimation prior to harvest. Indices are also able to evaluate the spatial variability of a crop within the field. The results showed that remote sensing data need to have detailed spatial resolution in order to provide reasonable information about yield at such a detailed level.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10620 - Other biological topics
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
Article name in the collection
Quo vaditis agriculture, forestry and society under global change?: Conference Proceedings
ISBN
978-80-87902-22-6
ISSN
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e-ISSN
neuvedeno
Number of pages
4
Pages from-to
66-69
Publisher name
Centrum výzkumu globální změny AV ČR, v.v.i.
Place of publication
Brno
Event location
Velké Karlovice
Event date
Oct 2, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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