Application of multispectral remote sensing indices for 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%2F86652079%3A_____%2F17%3A00485233" target="_blank" >RIV/86652079:_____/17:00485233 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Application of multispectral remote sensing indices for 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 classicalnways of estimating crop yields. This study was undertaken in Polkovice, located in the Czech Republic’snHaná region. For 2015 and 2016, two data sets of satellite imagery were used: the Moderate ResolutionnImaging Spectroradiometer and the Landsat 8. Vegetation indices from satellites were compared with cropnyields at the level of land blocks. Winter wheat and spring barley yield data, representing crops plantednover the analysed period, were used for the comparison. The results of the index–yield comparison showednthat vegetation indices from remote sensing data provide reliable information for yield estimation prior tonharvest. Indices are also able to evaluate the spatial variability of a crop within the field. The results showednthat remote sensing data need to have detailed spatial resolution in order to provide reasonable informationnabout yield at such a detailed level.

Název v anglickém jazyce

Application of multispectral remote sensing indices for 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 classicalnways of estimating crop yields. This study was undertaken in Polkovice, located in the Czech Republic’snHaná region. For 2015 and 2016, two data sets of satellite imagery were used: the Moderate ResolutionnImaging Spectroradiometer and the Landsat 8. Vegetation indices from satellites were compared with cropnyields at the level of land blocks. Winter wheat and spring barley yield data, representing crops plantednover the analysed period, were used for the comparison. The results of the index–yield comparison showednthat vegetation indices from remote sensing data provide reliable information for yield estimation prior tonharvest. Indices are also able to evaluate the spatial variability of a crop within the field. The results showednthat remote sensing data need to have detailed spatial resolution in order to provide reasonable informationnabout yield at such a detailed level.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Projekt

<a href="/cs/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 - Rozvoj Centra pro studium dopadů globální změny klimatu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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 proceeding

ISBN

978-80-87902-22-6

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

66-69

Název nakladatele

Global change research institute

Místo vydání

Brno

Místo konání akce

Velké Karlovice

Datum konání akce

2. 10. 2017

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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