Peer-reviewed articles 17,970 +


Title: USE OF SENTINEL-2 DATA AND PROXIMAL SENSING BY AGLEADER OPTRX FOR ESTIMATION OF NUTRITIONAL STATUS OF WINTER WHEAT
USE OF SENTINEL-2 DATA AND PROXIMAL SENSING BY AGLEADER OPTRX FOR ESTIMATION OF NUTRITIONAL STATUS OF WINTER WHEAT

PlumX Article Metrics by Elsevier
J. Mezera; V. Lukas; J. Elbl; L. Neudert; V. Smutny
10.5593/sgem2021/2.1/s10.76
1314-2704
978-619-7603-22-4
English
21
2.1
• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Photogrammetry and Remote Sensing
Assessment of the nutritional status of crop stand and other plant biophysical parameters can be a suitable source of information for the application of nitrogen fertilizers in precision agriculture, especially in conditions of high spatial heterogeneity of farm fields. Determination of the application rate of nitrogen fertilizers can be performed based on the plant diagnosis and estimation of plant biophysical parameters, such as nitrogen content, total amount of aboveground biomass and nitrogen uptake (Nupt), or on the basis of non-invasive sensing methods via measurement of spectral reflectance of plants. The aim of this study was to verify and compare the methods of proximal and remote sensing for the evaluation of crop parameters of cereals. Input data were obtained from farm field trials with winter wheat in 2020 at Rasovice (Czech Republic) with a total area of 40 ha. To estimate the total amount of aboveground biomass, the nitrogen content in the plants and the nitrogen uptake, a plant sampling was performed with 21 samples in the stem elongation vegetation phase (BBCH 32-35). Spectral properties were obtained from the from satellite imagery of Sentinel-2 as the set of broadband vegetation indices (EVI, NDMI, NDVI, NDRE, REIP, etc.) and proximal crop sensor system AgLeader OptRx (vegetation index NDRE only). Spatial data were processed and analyzed using tools of geographic information systems and then statistically evaluated relationships between variables by using correlation analysis. The high level of correlation coefficients was reached between Nupt and biomass, which shows a significant influence of the amount of aboveground biomass on the nitrogen utilization. High values of the correlation coefficient were also achieved between Nupt and vegetation indices Sentinel-2 (r = 0.679 - 0.888 for all calculated indices), the highest value was reached for the EVI index. Also high level of correlation was achieved between Nupt and NDRE index from the proximal sensing system (r = 0.830). In this case both sensing platforms performed results in, which can be used for whole field mapping of crop status and serves as the input information for variable rate application of nitrogen fertilizers.
conference
https://www.sgem.org/index.php/jresearch-article?citekey=Mezera202110635642
Download PDF
21st International Multidisciplinary Scientific GeoConference SGEM 2021
21st International Multidisciplinary Scientific GeoConference SGEM 2021, 16 - 22 August, 2021
Proceedings Paper
STEF92 Technology
SGEM International Multidisciplinary Scientific GeoConference
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci
373-380
16 - 22 August, 2021
website
cdrom
7928
precision agriculture; plant diagnosis; crop sensing; Sentinel-2; vegetation indices