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Relating Crop Water Consumption to Irrigation Water Supply by Remote Sensing

Author

Listed:
  • G. Roerink
  • W. Bastiaanssen
  • J. Chambouleyron
  • M. Menenti

Abstract

A new set of irrigation performance indicators based on remote-sensing estimates of evapotranspiration is introduced. These ‘evapotranspiration indicators’ are the relative evapotranspiration or crop stress and the water efficiency as well as their uniformity. With a remote-sensing evapotranspiration algorithm (SEBAL) maps of actual crop water consumption are derived. These maps are one of the inputs in the evapotranspiration indicators, together with GIS data (digitized irrigation unit boundaries) and field data (irrigation delivery schedule and water flow). This approach is applied on the Rio Tunuyan irrigation scheme, Mendoza, Argentina, which is served by surface water and privately owned ground water pumps. A homogeneous pattern of actual crop water consumption is detected from the highest irrigation level till the lowest (farm) level (coefficient of variance from 8.6% to 6.1% and 14.0% of secondary, tertiary and pixel level, respectively). Considering that a rotational irrigation schedule at tertiary and farm level is present, the results indicate that ground water supply through extraction and capillary rise equalize the spatial patterns in crop water consumption. The latter is proved by a comparison between (i) the areal water consumption from remote-sensing measurements, (ii) the areal water supply and (iii) additional field information on ground water extraction and capillary rise. Copyright Kluwer Academic Publishers 1997

Suggested Citation

  • G. Roerink & W. Bastiaanssen & J. Chambouleyron & M. Menenti, 1997. "Relating Crop Water Consumption to Irrigation Water Supply by Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 11(6), pages 445-465, December.
  • Handle: RePEc:spr:waterr:v:11:y:1997:i:6:p:445-465
    DOI: 10.1023/A:1007982411718
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    1. Folhes, M.T. & Rennó, C.D. & Soares, J.V., 2009. "Remote sensing for irrigation water management in the semi-arid Northeast of Brazil," Agricultural Water Management, Elsevier, vol. 96(10), pages 1398-1408, October.
    2. Akbari, Mehdi & Toomanian, Norair & Droogers, Peter & Bastiaanssen, Wim & Gieske, Ambro, 2007. "Monitoring irrigation performance in Esfahan, Iran, using NOAA satellite imagery," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 99-109, March.
    3. Segovia-Cardozo, Daniel Alberto & Rodríguez-Sinobas, Leonor & Zubelzu, Sergio, 2019. "Water use efficiency of corn among the irrigation districts across the Duero river basin (Spain): Estimation of local crop coefficients by satellite images," Agricultural Water Management, Elsevier, vol. 212(C), pages 241-251.
    4. Trivedi, Kairav & Singh, O. P., 2008. "Impact of quality and reliability of irrigation on field and farm level water productivity of crops," IWMI Conference Proceedings 245275, International Water Management Institute.
    5. Kumar, M. Dinesh & Trivedi, K. & Singh, O. P., 2009. "Analyzing the impact of quality and reliability of irrigation water on crop water productivity using an irrigation quality index," IWMI Books, Reports H042636, International Water Management Institute.
    6. Santiago Castaño & David Sanz & Juan Gómez-Alday, 2010. "Methodology for Quantifying Groundwater Abstractions for Agriculture via Remote Sensing and GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(4), pages 795-814, March.
    7. Bastiaanssen, Wim G. M. & Molden, David J. & Makin, Ian W., 2000. "Remote sensing for irrigated agriculture: examples from research and possible applications," Agricultural Water Management, Elsevier, vol. 46(2), pages 137-155, December.
    8. M. Rowshon & M. Amin & T. Lee & A. Shariff, 2009. "GIS-Integrated Rice Irrigation Management Information System for a River-Fed Scheme," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(14), pages 2841-2866, November.
    9. Mutlu Ozdogan & Curtis Woodcock & Guido Salvucci & Hüseyin Demir, 2006. "Changes in Summer Irrigated Crop Area and Water Use in Southeastern Turkey from 1993 to 2002: Implications for Current and Future Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(3), pages 467-488, June.
    10. Muhammad Usman & Talha Mahmood & Christopher Conrad & Habib Ullah Bodla, 2020. "Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region," Sustainability, MDPI, vol. 12(22), pages 1-33, November.
    11. Giorgos Papadavid & Diofantos Hadjimitsis & Leonidas Toulios & Silas Michaelides, 2013. "A Modified SEBAL Modeling Approach for Estimating Crop Evapotranspiration in Semi-arid Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(9), pages 3493-3506, July.
    12. Salgado, Ramiro & Mateos, Luciano, 2021. "Evaluation of different methods of estimating ET for the performance assessment of irrigation schemes," Agricultural Water Management, Elsevier, vol. 243(C).
    13. Karatas, Bekir S. & Akkuzu, Erhan & Unal, Halil B. & Asik, Serafettin & Avci, Musa, 2009. "Using satellite remote sensing to assess irrigation performance in Water User Associations in the Lower Gediz Basin, Turkey," Agricultural Water Management, Elsevier, vol. 96(6), pages 982-990, June.
    14. Usha Poudel & Haroon Stephen & Sajjad Ahmad, 2021. "Evaluating Irrigation Performance and Water Productivity Using EEFlux ET and NDVI," Sustainability, MDPI, vol. 13(14), pages 1-26, July.
    15. Elshaikh, Ahmed E. & Jiao, Xiyun & Yang, Shi-hong, 2018. "Performance evaluation of irrigation projects: Theories, methods, and techniques," Agricultural Water Management, Elsevier, vol. 203(C), pages 87-96.
    16. Narendra Gontia & Kamlesh Tiwari, 2010. "Estimation of Crop Coefficient and Evapotranspiration of Wheat (Triticum aestivum) in an Irrigation Command Using Remote Sensing and GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1399-1414, May.
    17. Kumar, M. Dinesh & Trivedi, K. & Singh, O.P., 2009. "Analyzing the impact of quality and reliability of irrigation water on crop water productivity using an irrigation quality index," Book Chapters,, International Water Management Institute.
    18. Mohamed Kharrou & Michel Le Page & Ahmed Chehbouni & Vincent Simonneaux & Salah Er-Raki & Lionel Jarlan & Lahcen Ouzine & Said Khabba & Ghani Chehbouni, 2013. "Assessment of Equity and Adequacy of Water Delivery in Irrigation Systems Using Remote Sensing-Based Indicators in Semi-Arid Region, Morocco," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4697-4714, October.
    19. Karen Villholth & Lorraine Rajasooriyar, 2010. "Groundwater Resources and Management Challenges in Sri Lanka–an Overview," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(8), pages 1489-1513, June.
    20. Corbari, Chiara & Salerno, Raffaele & Ceppi, Alessandro & Telesca, Vito & Mancini, Marco, 2019. "Smart irrigation forecast using satellite LANDSAT data and meteo-hydrological modeling," Agricultural Water Management, Elsevier, vol. 212(C), pages 283-294.
    21. C. Santos & I. Lorite & R. Allen & M. Tasumi, 2012. "Aerodynamic Parameterization of the Satellite-Based Energy Balance (METRIC) Model for ET Estimation in Rainfed Olive Orchards of Andalusia, Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3267-3283, September.
    22. Chemin, Yann & Platonov, Alexander & Ul-Hassan, Mehmood & Abdullaev, Iskandar, 2004. "Using remote sensing data for water depletion assessment at administrative and irrigation-system levels: case study of the Ferghana Province of Uzbekistan," Agricultural Water Management, Elsevier, vol. 64(3), pages 183-196, February.

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