Dynamics of Winter Wheat Crop Condition under Adverse Agrometeorological Conditions Based on Satellite Monitoring Data

Digital technologies for Agricultural and Spatial Territory Planning

Authors

First and Last Name Academic degree E-mail Affiliation
Viktor Moshynskyi Sc.D. v.s.moshynskyi [at] nuwm.edu.ua National University of Water and Environmental Engineering
Rivne, Ukraine
Serhii Vozniuk No s.a.voznyuk [at] nuwm.edu.ua National University of Water and Environmental Engineering
Rivne, Ukraine
Nataliia Vozniuk Ph.D. n.m.voznyuk [at] nuwm.edu.ua National University of Water and Environmental Engineering
Rivne, Ukraine
Viktoriia Skyba Ph.D. viktoriia.skyba [at] tsatu.edu.ua Dmytro Motornyi Tavria State Agrotechnological University
Zaporizhzhia, Ukraine
Olena Likho Ph.D. o.a.liho [at] nuwm.edu.ua National University of Water and Environmental Engineering
Rivne, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 17.08.2026 - 00:23
Abstract 

Climate change is accompanied by an increasing frequency of adverse agrometeorological events, which poses risks to the stable production of winter wheat and heightens the need for real-time monitoring of crop condition. This is of particular importance for the Western Forest-Steppe of Ukraine, where the region's role in grain production is growing. The aim of the study was to assess the seasonal dynamics of winter wheat crop condition under adverse agrometeorological conditions and to examine the potential for its remote monitoring using satellite data. The study was carried out during the 2025–2026 season on a 0.28 ha plot of a small farm in Rivne Oblast, where the cultivar RGT Reform was grown. Crop condition was assessed from the dynamics of the Normalized Difference Vegetation Index calculated from Sentinel-2 data in Google Earth Engine; the spatial pattern was additionally analyzed using EOSDA Crop Monitoring data. Agrometeorological conditions were characterized using meteorological model data. Under winter frosts down to −18…−20 °C, recurrent spring frosts, and summer heat and drought stress, the yield amounted to 7.5–8.0 t/ha. The maximum index value (0.744) was recorded on May 14, after which it declined to 0.274 by June 29. The results obtained indicate the feasibility of using open satellite data for the real-time tracking of the seasonal dynamics of crop condition on small farms.

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