World Food Programme and Food Security Challenge

food-security-large.jpg The United Nations World Food Programme (WFP) provides food assistance to more than 80 million people around the world each year, responding to humanitarian crises in some of the world’s most challenging environments. WFP handles large EO and non-EO biophysical and socio-economic heterogeneous datasets to support and optimise their operational needs in the management of humanitarian crisis. Their requirements focus on the development of higher level products based on those datasets to provide reliable early warning information and support their decision making process during operational activities. Some of the datasets they use, mostly related to crop monitoring and meteorology, can be derived from the Copernicus Land, Atmosphere and Climate Change Services. This possibility will be explored in the framework of the project.

 

WFP expects to improve their preparedness in order to better address food security issues in humanitarian crises through the development of BETTER Pipelines using Sentinels data, Copernicus Land, Atmosphere and Climate Change Services together with in-house datasets.

 

Main topics in this challenge will be related to:

  • Multi-temporal EO for Humanitarian Operations,
  • Hot-Spot EO Analysis Capacity for Natural Hazard Impact Assessment,
  • Dynamic Land Cover Change Detection and Characterization.
DATA challenges
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