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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00027006:_____/20:10149653

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40101 - Agriculture

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

International Agrophysics

ISSN

0236-8722

e-ISSN

2300-8725

Svazek periodika

34

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

16

Strana od-do

391-406

Kód UT WoS článku

000581855600010

EID výsledku v databázi Scopus

2-s2.0-85093658175