FRAME

  • NameFAO's Remote sensing based database for the monitoring of agricultural water and land productivity in Africa and the Middle East (FRAME)
  • ClientFAO
  • PartnersVITO, ITC, TU-Twente, WaterWatch Foundation
  • LocationAfrica, Near East
  • Timeframe2016 - Ongoing

Achieving Food Security in the future whilst using water resources in a sustainable manner will be a major challenge for us and the next generations. In the face of climate change it is likely that extreme weather events, such as droughts and floods, will increase. This can have severe consequences for regions where water is already scarce today. Agriculture is by far the largest consumer of water. Improving water productivity in agriculture reduces significant pressure on scarce water resources.

To be able to understand and mitigate the effects of climate change on the vulnerability of an agricultural system, detailed knowledge of local water and agricultural conditions is essential. This is why the FAO is implementing the WaPOR programme. The programme provides an open access web portal with satellite based Water Productivity data to monitor and report on agriculture water productivity throughout Africa and the Near East. The overall programme has four components:

  • The development of an open-access database with remote sensing data to monitor water agricultural water and land productivity (FAO/FRAME consortium led by eLEAF)
  • Water and Land Productivity Assessment (FAO/UNESCO-IHE)
  • Water Accounting to assess the consequences and sustainability of possible increases in water productivity in agriculture (UNESCO-IHE/FAO)
  • Capacity Development of stakeholders to increase water productivity sustainably (IWMI/UNESCO-IHE/FAO)

eLEAF leads the FRAME consortium consisting of eLEAF, VITO (Belgium), ITC, TU-Twente and the WaterWatch Foundation (all based in the Netherlands). The core of our service to FAO is the delivery of three datasets related to water productivity that cover Northern and Sub-Saharan Africa and the Near East covering 10 years (2009–2019):

  • The continental level dataset will be delivered at a resolution of 250m and includes all land area shown in figure above within a rectangle with the coordinates (UL) 30W, 40N; (LR) 65E, 40S, designated as Africa or the Near East
  • The country/basin level dataset will be delivered at a resolution of 100m and includes the following countries: Morocco, Tunisia, Egypt, Ghana, Kenya, South Sudan, Mali, Benin, Ethiopia, Rwanda, Burundi, Mozambique, Uganda, Syria, West Bank & Gaza Strip, Lebanon, Jordan and Yemen. This dataset tentatively includes the following river basins: Jordan/Litani river basin, the Nile basin, the Awash basin and the Niger inner Delta
  • The irrigation scheme level will be delivered at a resolution of 30m and will include pilot areas to be selected in the river basins mentioned in the second dataset

For more information go to: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/