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Quantification of losses in agriculture production in eastern Ukraine due to the Russia-Ukraine war

Agriculture

Quantification of losses in agriculture production in eastern Ukraine due to the Russia-Ukraine war

B. Chen, Y. Tu, et al.

This study by Bin Chen, Ying Tu, Jiafu An, Shengbiao Wu, Chen Lin, and Peng Gong reveals the devastating impact of the Russia-Ukraine war on Ukrainian agriculture using innovative satellite imagery and machine learning techniques. The assessment found that about 18.11% of croplands were left unplanted, leading to significant losses in crop production, particularly in wheat and sunflower.

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Playback language: English
Abstract
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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