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Implication of Remote Sensing Data under GIS Environment for Appraisal of Irrigation System Performance

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Abstract

Poor irrigation management is a common issue of irrigated agriculture. Assessment of irrigation system performance is essential to improve the irrigation system, which requires real-time data. Satellite data has been found the best alternate. This manuscript presents a methodology to assess irrigation system performance using combination of satellite and ground data. The developed methodology was applied on a canal system of Punjab Pakistan. High resolution satellite images were processed to images of normalized difference vegetation index (NDVI), evaporative fraction (EF) and evapotranspiration (ET). These images in combination with ground data provided information on pixel to pixel vegetated area, water availability/ requirement consequently the irrigation system performance indicators. The results revealed that potential water requirement of the area was 401.66 million cubic meters (MCM) and available canal water supply was 247.14 MCM, thus indicating shortage of 38%. Adequacy of the system was found to be 74% while its reliability varied from 35–73%. Average coefficient of variance (Cv) was found 0.43 showing poor reliability of the system. Performance in equity terms revealed that head areas of irrigation channels were receiving more water supplies than the tail areas. Strong correlation was found between crop yields and water supplies i.e., crop yield was strongly dependent on water supplied (R2 = 0.80).

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Acknowledgements

The authors are indebted to the Higher Education Commission of Pakistan who provided support to conduct this research study.

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Authors and Affiliations

  1. Punjab Agriculture Department, Soil and Water Conservation Research Institute, Punjab, Chakwal, 48800, Pakistan

    Sultan Ahmad Rizvi, Waqas Naseem & Muhammad Riaz Gondal

  2. Department of Civil Engineering, NUML Rawalpindi, Pakistan

    Afeef Ahmad

  3. CEWRE, University of Engineering and Technology, Lahore, Pakistan

    Muhammad Latif

  4. Faculty of Civil Engineering University of Engineering and Technology, Lahore, Pakistan

    Abdul Sattar Shakir

  5. Global Climate Impact Studies Center (GCISC) Ministry of Climate Change, 6th floor, Emigration Tower, Mauve Area G-8/I, Islamabad, Pakistan

    Aftab Ahmad Khan

Authors
  1. Sultan Ahmad Rizvi
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  2. Afeef Ahmad
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  3. Muhammad Latif
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  4. Abdul Sattar Shakir
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  5. Aftab Ahmad Khan
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  6. Waqas Naseem
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  7. Muhammad Riaz Gondal
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Contributions

Sultan Ahmad Rizvi: Conceptualization, Investigation, Methodology, Data- acquisition and analysis, Original draft preparation; Abdul Sattar Shakir: Supervision; Muhammad Latif: Abstract writing, review of write up; Afeef Ahmad: Preparation of GIS data base, Tables and figures setting; Addressing reviewer’s comments; Aftab Ahmad Khan: GIS data analysis and interpretation; Waqas Nasim: Validation of results; Muhammad Riaz Gondal: Reviewing and Editing.

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Correspondence to Sultan Ahmad Rizvi.

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Rizvi, S.A., Ahmad, A., Latif, M. et al. Implication of Remote Sensing Data under GIS Environment for Appraisal of Irrigation System Performance. Water Resour Manage 35, 4909–4926 (2021). https://doi.org/10.1007/s11269-021-02979-0

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  • DOI: https://doi.org/10.1007/s11269-021-02979-0

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