Food Security Challenges

BETTER will 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 these data 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.

Food Security Data Challenges
Identified Challenge Short Description Result
FS1 - Hazards and Change detection using Sentinel-1 SAR data

Usage of Sentinel-1 complex and backscatter data for detection and quantification of food security related (natural) hazards and land cover/ land use change.

Availability expected mid-2019.
FS2 - Land cover changes and inter-annual vegetation performance

WFP’s interventions are not only related to emergency or crisis responses. WFP programmes include interventions that aim to enhance the resilience of communities and the increase in community assets. These are known as FFA (Food for Assets) and may include things like building of dams, restoration of irrigation capacity, afforestation, etc,. WFP has an interest in monitoring not only if the asset was built, but also the degree to which the panned outcomes have been realized (e.g. X ha converted to irrigated vegetable gardens).

Availability expected mid-2019.
FS3 - EO indicators for global Early Warning and Seasonal Monitoring

Earth Observation data, specifically low to medium biophysical indicators (NDVI, LST, LAI, fAPAR, RFE) are in widespread usage in Seasonal Monitoring and Early Warning activities. WFP runs one such system (Seasonal Monitor) to cover its areas of interest. The system is based on RFE (rainfall estimates) and NDVI produced at about 5Km resolution.It is desirable to i) evaluate the value added of so far not utilised parameters such as LST, and biophysicals such as fAPAR, LAI, etc. and ii) to simplify the access to these datasets,in particular enabling the access of Regional Bureaus and some country offices to user ready outputs.

Availability expected mid-2019.


Challenges Overview
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