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• W3183353202 abstract "Evaluation of cereal plant status and other biophysical parameters, such as nitrogen uptake (Nupt), nitrogen content and total amount of aboveground biomass, is important information for decision support in agronomy for correct treatment of crop management practices. This information could be provided in precision agriculture by remote sensing as an efficient method for the monitoring of crop within field heterogeneity. The aim of this study was to verify the use of satellite images for estimation of agronomic relevant crop parameters of winter wheat, such as nitrogen uptake, amount of above-ground biomass and nitrogen content. Input data were obtained from field trials with winter wheat realized in 2017–2020 at five locations (Otnice, Dolni Dubnany, Zdounky, Rasovice a Kardasova Recice) with total area of 528 ha. The field survey was carried out in sampling grid to estimate total amount of aboveground biomass, nitrogen concentration in plants and nitrogen uptake during vegetation stage BBCH 31–45. Besides the plant sampling, the values of vegetation indices from Sentinel-2 multispectral imagery were obtained to characterise spectral response of plants. The relationship between crop parameters and Sentinel satellite indices was evaluated using the Spearman correlation coefficient. The high correlation coefficient between Nupt and biomass showed a large influence of the amount of aboveground biomass on the consumption of nitrogen. The highest correlation coefficient of vegetation indices to the crop parameters at all localities was achieved by REIP index, which corresponds with the higher sensitivity of the red-edge bands to the chlorophyll content. The results vary among the localities, the highest values for all vegetation indices were reached for the locality Rasovice, on the contrary, the lowest for the locality Zdounky. The most consistent results for all localities were achieved for the vegetation indices NRERI, REIP and RENDVI, which thus appear to be the most universal indices for the diagnosis of plant nutritional status and its within field heterogeneity by satellite multispectral imaging." @default.
• W3183353202 created "2021-08-02" @default.
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• W3183353202 date "2020-11-01" @default.
• W3183353202 modified "2023-10-16" @default.
• W3183353202 title "Assessment of spatial heterogeneity of winter wheat canopy stand by Sentinel-2 satellite imagery" @default.
• W3183353202 hasPublicationYear "2020" @default.
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