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Crop Water Productivity Mapping Using Remote Sensing and Secondary Data in the Nile Basin Poolad Karimi, David Molden Dar Es Salaam Nile BFP Final Workshop 09 December 2009
Outlines ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Why WP?
Water productivity mapping: METHODOLOGY Economical WP in multiple crops systems (US$/m3)  Source: Karimi, P, IWMI, 2008
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Data sources RS: Remote Sensing •GIS: Geographic Information System •Eta: Actual Evapotranspiration •Ta: Actual Transpiration •GLC: Global Land Cover
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Data sources
[object Object],[object Object],Data sources Figure 2. Schematic view of energy balance and ET computations (Waterwatch)
ETa Ta Source: Maps created by Poolad Karimi using data from Waterwatch
Standardized gross value of production:  SGVP:  is an index which helps to compare the economical value of different crops regardless in which country or region they are. Wheat  is taken as base crop. Basin Scale Analysis Source: Molden, 2001
Land Productivity: SGVP/ha Land productivity is  highly variable  across the basin.  Egypt  has the highest SGVP/ha ,  1830 US$/ha Sudan  has the lowest SGVP/ha , which goes down to about  20 US$/ha  in Northern Darfur Source: Karimi, P, 2009
Land Productivity Maize Wheat Source: IWMI, 2009
Water Productivity WP=SGVP/ETa Water productivity variations follows the same pattern as land productivity; highest WP in the Basin belongs to Egypt and the lowest to some  Sudanese stats Source: IWMI, 2009
Using actual transpiration (Ta) as denominator instead of ETa in WP assessment  doesn't change the WP variation magnitude in the Basin . This verifies that the differences in WP across the Nile is more related to yield and furthermore to economic land productivity than to non-beneficial evaporation from croplands.  Water Productivity WP=SGVP/Ta Source: IWMI, 2009
Rainfed system and Water stress Source: An  Notenbaert Source : Created by IWMI using data from Waterwatch Source : Created by IWMI using data from ILRI
Water productivity and Water stress Source: An  Notenbaert Source: IWMI Source: Created by IWMI using data from Waterwatch
Sub-Basin Scale Analysis: Ethiopian highlands Source: Created by Karimi,P.
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Rainfall and Water Consumption in 2007 Source: Created by IWMI using data from FEWS, 2009 Source: Created by IWMI using data from Waterwatch, 2009
Crops water consumption  ETa  Crops: 4500 m 3 /ha;  1542 m 3 /ha to 7500 m 3 /ha Eta per ha is lower in the eastern part Source: IWMI, 2009
Gross Value Production ,[object Object],[object Object],[object Object],Source: IWMI, 2009
WP ,[object Object],[object Object],[object Object],Source: IWMI, 2009
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object]
Thank You Related Project Report Forthcoming .  For more information visit: www.iwmi.org www.waterandfood.org N.B. This is not a form of technical output.  Data and figures shown are subject to change .

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Crop water productivity mapping using remote sensing and secondary data in the nile basin final project workshop

  • 1. Crop Water Productivity Mapping Using Remote Sensing and Secondary Data in the Nile Basin Poolad Karimi, David Molden Dar Es Salaam Nile BFP Final Workshop 09 December 2009
  • 2.
  • 3.
  • 4. Water productivity mapping: METHODOLOGY Economical WP in multiple crops systems (US$/m3) Source: Karimi, P, IWMI, 2008
  • 5.
  • 6.
  • 7.
  • 8. ETa Ta Source: Maps created by Poolad Karimi using data from Waterwatch
  • 9. Standardized gross value of production: SGVP: is an index which helps to compare the economical value of different crops regardless in which country or region they are. Wheat is taken as base crop. Basin Scale Analysis Source: Molden, 2001
  • 10. Land Productivity: SGVP/ha Land productivity is highly variable across the basin. Egypt has the highest SGVP/ha , 1830 US$/ha Sudan has the lowest SGVP/ha , which goes down to about 20 US$/ha in Northern Darfur Source: Karimi, P, 2009
  • 11. Land Productivity Maize Wheat Source: IWMI, 2009
  • 12. Water Productivity WP=SGVP/ETa Water productivity variations follows the same pattern as land productivity; highest WP in the Basin belongs to Egypt and the lowest to some Sudanese stats Source: IWMI, 2009
  • 13. Using actual transpiration (Ta) as denominator instead of ETa in WP assessment doesn't change the WP variation magnitude in the Basin . This verifies that the differences in WP across the Nile is more related to yield and furthermore to economic land productivity than to non-beneficial evaporation from croplands. Water Productivity WP=SGVP/Ta Source: IWMI, 2009
  • 14. Rainfed system and Water stress Source: An Notenbaert Source : Created by IWMI using data from Waterwatch Source : Created by IWMI using data from ILRI
  • 15. Water productivity and Water stress Source: An Notenbaert Source: IWMI Source: Created by IWMI using data from Waterwatch
  • 16. Sub-Basin Scale Analysis: Ethiopian highlands Source: Created by Karimi,P.
  • 17.
  • 18. Crops water consumption ETa Crops: 4500 m 3 /ha; 1542 m 3 /ha to 7500 m 3 /ha Eta per ha is lower in the eastern part Source: IWMI, 2009
  • 19.
  • 20.
  • 21.
  • 22. Thank You Related Project Report Forthcoming . For more information visit: www.iwmi.org www.waterandfood.org N.B. This is not a form of technical output. Data and figures shown are subject to change .