Use of Landsat images for yield evaluation within a small plot
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F14%3A00232411" target="_blank" >RIV/62156489:43410/14:00232411 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/67179843:_____/14:00434120 RIV/60460709:41310/14:64746 RIV/60460709:41330/14:64746 RIV/00027006:_____/14:00003046
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Use of Landsat images for yield evaluation within a small plot
Popis výsledku v původním jazyce
Many factors can influence crop yield. One of the most important factors is topography, which can play a crucial role especially in dry years. Plant variability can be monitored by many methods. This paper evaluates the suitability of vegetation indicesderived from satellite Landsat 5 TM data in comparison with yield, curvature and topography wetness index over a relatively small field (11.5 ha). Imageries were chosen from the years 2006 and 2010, when oat was grown and from 2005 and 2011, when winterwheat was grown. These images were taken in June in the same growth stage for every crop. It was confirmed that derived indices from Landsat images can be used for comparison with yield and selected topographic attributes and it can explain yield variability, which can be influenced by water distribution during growth stages. Correlation coefficient between moisture stress index and winter wheat yield was --0.816 in the image acquisition date of 4. 6. 2011.
Název v anglickém jazyce
Use of Landsat images for yield evaluation within a small plot
Popis výsledku anglicky
Many factors can influence crop yield. One of the most important factors is topography, which can play a crucial role especially in dry years. Plant variability can be monitored by many methods. This paper evaluates the suitability of vegetation indicesderived from satellite Landsat 5 TM data in comparison with yield, curvature and topography wetness index over a relatively small field (11.5 ha). Imageries were chosen from the years 2006 and 2010, when oat was grown and from 2005 and 2011, when winterwheat was grown. These images were taken in June in the same growth stage for every crop. It was confirmed that derived indices from Landsat images can be used for comparison with yield and selected topographic attributes and it can explain yield variability, which can be influenced by water distribution during growth stages. Correlation coefficient between moisture stress index and winter wheat yield was --0.816 in the image acquisition date of 4. 6. 2011.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
GC - Pěstování rostlin, osevní postupy
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Plant, Soil and Environment
ISSN
1214-1178
e-ISSN
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Svazek periodika
60
Číslo periodika v rámci svazku
11
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
6
Strana od-do
501-506
Kód UT WoS článku
346401700004
EID výsledku v databázi Scopus
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