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Assessment of water allocations using remote sensing and GIS modeling for Indus Basin, Pakistan:

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  • Cheema, Muhammad Jehanzeb Masud
  • Bakhsh, Allah
  • Mahmood, Talha
  • Liaqat, Muhammad Usman

Abstract

Water allocations for canal commands are not uniform throughout Pakistan. They vary from 2.5 to 15 cusec (ft3/sec) per 1,000 acres (i.e. 0.18 – 1.1 litre/sec/hectare) for different canal commands. This variability in water allowance (WA) has resulted in low water productivity (kg of yield per m3 of water use), an indicator used to assess efficient water use, especially in command areas having higher water allocations. In this study, satellite imagery was used to estimate crop water use and corresponding water productivity for each canal command area of the Indus Basin Irriga-tion System. Three years were selected for the study and two representative canal commands (Lower Chenab and Muzaffargarh Canal) were selected for detailed analysis and ground truthing. Spatially distributed maps of land use, crop water use, groundwater use and quality, soil and water salinity, and crop yields at a pixel resolution of 250 m (6.25 ha) were prepared and then verified by field surveys. GIS maps of canal water availability/supply were also prepared to account for the volume of water supplied through irrigation. This spatial database was used to evaluate and create maps of water productivity in the different canal commands.

Suggested Citation

  • Cheema, Muhammad Jehanzeb Masud & Bakhsh, Allah & Mahmood, Talha & Liaqat, Muhammad Usman, 2016. "Assessment of water allocations using remote sensing and GIS modeling for Indus Basin, Pakistan:," PSSP working papers 36, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:psspwp:36
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    Cited by:

    1. Francis Rathinam & Sayak Khatua & Zeba Siddiqui & Manya Malik & Pallavi Duggal & Samantha Watson & Xavier Vollenweider, 2021. "Using big data for evaluating development outcomes: A systematic map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
    2. Aftab Nazeer & Muhammad Mohsin Waqas & Sikandar Ali & Usman Khalid Awan & MuhammadJehanzeb Masud Cheema & Allah Baksh, 2020. "Land Use Land Cover Classification And Wheat Yield Prediction In The Lower Chenab Canal System Using Remote Sensing And Gis," Big Data In Agriculture (BDA), Zibeline International Publishing, vol. 2(2), pages 47-51, March.

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