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Performance assessment of an irrigation scheme using indicators determined with remote sensing techniques

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Abstract

In this work, remote sensing-based assessments of actual evapotranspiration using METRIC integrated with a water balance model provided accurate estimates of irrigation performance. This new methodology was applied and tested in the Genil–Cabra Irrigation Scheme located in southern Spain during the 2004–2005 irrigation season. The performance indicators used, the annual relative irrigation supply (ARIS) and the irrigation water productivity (IWP), required ET input data which were calculated using either METRIC or standard FAO methodology. The new procedure that used METRIC detected overirrigation (ARIS of 1.27) in situations where the ARIS calculated with the standard FAO methodology indicated near-optimal irrigation (ARIS of 0.98). Additionally, the proposed methodology allows the estimation of the volume of applied water at the field scale. Comparisons between the ARIS and IWP values obtained from actual applied water records against those calculated with the new methodology resulted in good agreement. It is concluded that the integration of the METRIC method to calculate actual ET with a water balance model allowed the determination of performance indicators in an irrigation scheme in a reliable and accurate fashion, requiring only very limited information at the field level.

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Acknowledgments

The authors would like to thank the support provided by the technicians and farmers of the Genil–Cabra Irrigation Scheme and INIA. The study was supported by grants INIA-RTA05-0025 and INIA-TRT06-0014 of the Spanish Ministry of Education and Science. Development of the METRIC processing algorithms was supported by funding from the Idaho Agricultural Experiment Station, Idaho Department of Water Resources, NASA and Raytheon Company.

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Authors and Affiliations

  1. IFAPA - Centro “Alameda del Obispo”, Junta de Andalucía, Alameda del Obispo s/n, Post office box: 3092, 14080, Córdoba, Spain

    C. Santos & Ignacio J. Lorite

  2. University of Miyazaki, Miyazaki, Japan

    M. Tasumi

  3. University of Idaho, Kimberly, ID, USA

    R. G. Allen

  4. IAS-CSIC and University of Córdoba, Córdoba, Spain

    E. Fereres

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  1. C. Santos
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Correspondence to Ignacio J. Lorite.

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Communicated by J. Kijne.

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Santos, C., Lorite, I.J., Tasumi, M. et al. Performance assessment of an irrigation scheme using indicators determined with remote sensing techniques. Irrig Sci 28, 461–477 (2010). https://doi.org/10.1007/s00271-010-0207-7

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