Application of multispectral remote sensing indices for estimating crop yields at field level

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

Application of multispectral remote sensing indices for estimating crop yields at field level

Popis výsledku v původním jazyce

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&apos;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.

Název v anglickém jazyce

Application of multispectral remote sensing indices for estimating crop yields at field level

Popis výsledku anglicky

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&apos;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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10620 - Other biological topics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

Počet stran výsledku

4

Strana od-do

66-69

Název nakladatele

Centrum výzkumu globální změny AV ČR, v.v.i.

Místo vydání

Brno

Místo konání akce

Velké Karlovice

Datum konání akce

2. 10. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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