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)

Transcript of Land use - Case study from Bangladesh for technology targeting

Land use - Case study from Bangladesh for technology targeting

Urs SchulthessTimothy J. KrupnikAndrew McDonald

And many other partners

Workshop: Remote Sensing – Beyond Images

Dec 14 & 15, 2013Mexico City, Mexico

Rising food prices

Animal

Courtesy M. Banziger

Non- staple foods

Non-Food: education – health – housing – risk management

Staples: rice & wheat

Before 2008

Fish+ Meat

Effect of a 50% food price increase on household income use (Bouis 2011)After 2008

Non-staple foods

Fish + Meat

Staples: rice & wheat

Non-Food: education – health – housing – risk management

Bangladesh: Hot, flat and crowded (borrowing from Freidman 2008)

150.5 million people (WB 2011)

75% rural (Huq et al.

2008)

Climate change vulnerable (Rawlani et al. 2011) Low-intensity

cropping in South

Extreme poverty (UNDP 2011)

• Irrigation facilities least developed in the South.

• Shallow aquifers are

usually saline.

• Surface water alternative?

Abundant water, but little irrigation in the South

Deep and shallow

tube wells

Surface water irrigation to hedge risk

The Axial Flow Pump:

Up to 50% more fuel efficient for low-lift pumping

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)

Krigged surface water salinity: 90th percentile Weeks 1-2

Krigged surface water salinity: 90th percentile Weeks 5-6

Krigged surface water salinity: 90th percentile Weeks 9-10

Krigged surface water salinity: 90th percentile Weeks 13-14

Identification of water ways

Identification of water ways

Identification of water ways

Identification of water ways

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

Thank you!