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Land use - Case study from Bangladesh for technology targeting

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Remote sensing –Beyond images
Mexico 14-15 December 2013

The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)

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Land use - Case study from Bangladesh for technology targeting

  1. 1. Land use - Case study from Bangladesh for technology targeting Urs Schulthess Timothy J. Krupnik Andrew McDonald And many other partners Workshop: Remote Sensing – Beyond Images Dec 14 & 15, 2013 Mexico City, Mexico
  2. 2. Rising food prices Effect of a 50% food price increase on household income use (Bouis 2011) After 2008 Before 2008 Staples: rice & wheat wheat Animal Nonstaple foods Staples: rice & Fish+ Meat Non-Food: education – health – housing – risk management Nonstaple foods Fish + Meat Non-Food: education – health – housing – risk management Courtesy M.
  3. 3. Bangladesh: Hot, flat and crowded (borrowing from Freidman 2008) 150.5 million people (WB 2011) Extreme poverty Climate change vulnerable (Rawlani et al. 2011) (UNDP 2011) 75% rural (Huq et al. 2008) Low-intensity cropping in South
  4. 4. Abundant water, but little irrigation in the South • Irrigation facilities least developed in the South. • Shallow aquifers are usually saline. • Surface water alternative? Deep and shallow tube wells
  5. 5. Surface water irrigation to hedge risk The Axial Flow Pump: Up to 50% more fuel efficient for low-lift pumping
  6. 6. Surface water irrigation to hedge risk • Location and quantification of low intensity dry season land (Following Maas and Rajan 2008) • < 40% ground cover: Approximately 180,000 ha • After surface water buffering: ∼ 83,000 ha • Surface water salinity sampling stations (dots)
  7. 7. Krigged surface water salinity: 90th percentile Weeks 1-2
  8. 8. Krigged surface water salinity: 90th percentile Weeks 5-6
  9. 9. Krigged surface water salinity: 90th percentile Weeks 9-10
  10. 10. Krigged surface water salinity: 90th percentile Weeks 13-14
  11. 11. Identification of water ways
  12. 12. Identification of water ways
  13. 13. Identification of water ways
  14. 14. Identification of water ways
  15. 15. Open research topics • Perennial water way detection – Landsat too coarse • Soil moisture status in critical period before planting of winter crop • Irrigation scheduling – Contribution from ground water table – Crop water use estimation
  16. 16. Thank you!

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