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Developing methodology and capacity for monitoring climate change and its impacts on agriculture in Sudan

This technical assistance advances the following Sustainable Development Goals:

No poverty

Goal1
Name:
No poverty

Zero hunger

Goal2
Name:
Zero hunger

Climate action

Goal13
Name:
Climate action

Context

Agriculture is the most important sector of Sudan’s economy and it is crucial for meeting the country’s food security.  It is the main livelihood source for more than 70 percent of the population and about 80 percent of the labour force is employed in agriculture and its related activities. In addition, agriculture contributes to about 30-35 percent to the GDP and generates around 90 percent of non-oil export earnings. According to Sudan’s NAPA (2007), Sudan NDC and its First National Communication to the UNFCCC (2003), agriculture has been identified as one of the three highest priority sectors most vulnerable to climate change.

CTCN Support

Support technology transfer mechanism, the new technology of using Earth Observation in monitoring the climate change variables and their contributions in the agricultural management in order to enhance the national agricultural monitoring system. This will be achieved through the development of sustainable methods and tools based on the integral use of earth observation and geospatial technology and capacity development. 

Expected Impact

  • Strengthened the agricultural monitoring and raised the resilience of the venerable communities especially in the traditional rain-fed sector
  • Interactive tools and a dashboard will be developed through a structured stakeholder engagement co-design process using the Stakeholder Approach to Risk-Informed Decision Making (SHARED) methodology. This dashboard will provide stakeholders in Sudan with a user-friendly way of interacting with the various spatial assessments and maps, providing up-to-date evidence that can be applied at various levels of decision making
  • The transfer of skills and good practices and the use of learning materials will help to ensure accurate crop production estimates and integrate the use of remotely sensed data in reporting
Date of submission:
Countries:
Geographical scope:
Objective:
Final type of assistance:
Phase:
Implementation
Duration range:
6-12 months
Budget range:
$100-150k