Paper by Deininger, Klaus et al: “This paper explores whether satellite imagery can be used to derive a measure to estimate conflict-induced damage to agricultural production and compare the results to those obtained using media-based conflict indicators, which are widely used in the literature. The paper combines area for summer and winter crops from annual crop maps for 2019–24 with measures of conflict-related damage to agricultural land based on optical and thermal satellite sensors. These data are used to estimate a difference-in-differences model for close to 10,000 Ukrainian village councils. The results point to large and persistent negative effects that spill over to conflict-unaffected village councils. The predicted impact is three times larger, with a distinctly different distribution across key domains (for example, territory controlled by Ukraine and the Russian Federation) using the preferred image-based indicator as compared to a media-based indicator. Satellite imagery thus allows defining conflict incidence in ways that may be relevant to agricultural production and that may have implications for future research…(More)”.
Using Remotely Sensed Data to Assess War-Induced Damage to Agricultural Cultivation: Evidence from Ukraine
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in you inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
DATA
Data Access for Researchers under the Digital Services Act: From Policy to Practice
Posted in September 30, 2025 by Stefaan Verhulst
DATA
Bringing Light to Government Dark Data in the Age of AI
Posted in September 30, 2025 by Stefaan Verhulst
DATA
The Data-Informed City: A Conceptual Framework for Advancing Research and Practice
Posted in September 29, 2025 by Stefaan Verhulst