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The impact of conflict-driven cropland abandonment on food insecurity in South Sudan revealed using satellite remote sensing.

Victor Mackenhauer OlsenRasmus FensholtPontus OlofssonRogerio BonifacioVan ButsicDaniel DruceDeepak K RayAlexander V Prishchepov
Published in: Nature food (2021)
Armed conflicts often hinder food security through cropland abandonment and restrict the collection of on-the-ground information required for targeted relief distribution. Satellite remote sensing provides a means for gathering information about disruptions during armed conflicts and assessing the food security status in conflict zones. Using ~7,500 multisource satellite images, we implemented a data-driven approach that showed a reduction in cultivated croplands in war-ravaged South Sudan by 16% from 2016 to 2018. Propensity score matching revealed a statistical relationship between cropland abandonment and armed conflicts that contributed to drastic decreases in food supply. Our analysis shows that the abandoned croplands could have supported at least a quarter of the population in the southern states of South Sudan and demonstrates that remote sensing can play a crucial role in the assessment of cropland abandonment in food-insecure regions, thereby improving the basis for timely aid provision.
Keyphrases
  • human health
  • health information
  • climate change
  • risk assessment
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  • single cell
  • deep learning
  • global health
  • convolutional neural network
  • data analysis