The Food Security Challenge

BETTER would investigate utilization of large EO and non-EO biofood-security-large.jpgphysical and socio-economic heterogeneous datasets to support and optimise the different operational needs in the management of humanitarian crisis. The requirements could focus on the development of higher-level products based on those datasets to provide reliable early warning information and support the decision making process during operational activities. The datasets are related mostly to crop monitoring and meteorology, can be derived from the Copernicus Land, Atmosphere and Climate Change Services. Such possibilities will be explored in the framework of the project.

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.

The United Nations World Food Programme (WFP) expects to improve its 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.


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.

 

DATA challenges
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