Crop water productivity mapping using remote sensing and secondary data in the nile basin, midterm workshopPresentation Transcript
Crop Water Productivity Mapping Using Remote Sensing and Secondary Data in the Nile Basin Poolad Karimi Addis Ababa NILE BFP midterm workshop 07 April 2009
Rapid increase in agricultural production will be required to keep pace with future food and fiber demands.
This can be achieved by bringing more area under agriculture or
by increasing the yields using similar or even reduced water resources (e.g., increasing productivity of water ) .
Land and water resources are already reached their exploitation limits or are over exploited in many river basins; and
There is increasing competition for water among sectors.
The option of increasing agricultural production using same or less water resources is the most appropriate one.
Water productivity mapping: METHODOLOGY (Molden 1997) Source: IWMI, 1997
Land use and land cover map : Global Cover Land Cover 2008 by European Space Agency: Its 22 land cover global classes are defined with the UN Land Cover Classification System (LCCS). The product pixel size is 300m. Croplands clases in the map are as fallows:
- Post-flooding or irrigated croplands (or aquatic)