The Russia-Ukraine war severely impacted Ukrainian agriculture. This study uses satellite imagery, machine learning, and statistical regression to assess agricultural losses in five eastern Ukrainian provinces. Findings show approximately 18.11% of croplands were unplanted, with wheat, sunflower, and rapeseed experiencing 36.39–37.19% production losses in 2022 compared to pre-war levels. Indirect losses due to decreased production significantly exceeded direct losses from unplanted land. War intensity, proxied by nighttime lights, strongly correlated with crop production reductions. This methodology provides a framework for quantifying war-related agricultural damages.
Publisher
Communications Earth & Environment
Published On
Jun 18, 2024
Authors
Bin Chen, Ying Tu, Jiafu An, Shengbiao Wu, Chen Lin, Peng Gong
Tags
Russia-Ukraine war
Ukrainian agriculture
satellite imagery
machine learning
crop production
agricultural losses
war impact
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