RESEARCH PAPER
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
1
Department of Machinery Utilization, Faculty of Engineering, Czech University of Life Sciences, Kamýcká 129, 165 21 Prague 6 – Suchdol, Czech Republic
2
Department of Agricultural Machines, Faculty of Engineering, Czech University of Life Sciences, Kamýcká 129, 165 21 Prague 6 – Suchdol, Czech Republic
3
Department of Mathematics, Faculty of Engineering, Czech University of Life Sciences, Kamýcká 129, 165 21 Prague 6 – Suchdol, Czech Republic
4
Division of Crop Management Systems, Crop Research Institute, Drnovská 507, 161 00 Prague 6 – Ruzyně, Czech Republic
Final revision date: 2020-08-14
Acceptance date: 2020-08-20
Publication date: 2020-09-28
Corresponding author
Zdeněk Jelínek
Department of Machinery Utilization, Czech University of Life Sciences, Kamýcká 129, 16521, Prague, Czech Republic
Department of Machinery Utilization, Czech University of Life Sciences, Kamýcká 129, 16521, Prague, Czech Republic
Int. Agrophys. 2020, 34(3): 391–406
KEYWORDS
TOPICS
ABSTRACT
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 (R2 = 0.876) than data with a one-day delay (R2 = 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 index calculation.
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