IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v243y2021ics0378377420300974.html
   My bibliography  Save this article

Evaluation of different methods of estimating ET for the performance assessment of irrigation schemes

Author

Listed:
  • Salgado, Ramiro
  • Mateos, Luciano

Abstract

In the assessment of irrigation schemes, the accuracy of performance indicators related to the water balance could be improved by estimating crop evapotranspiration (ETc) using remote sensing techniques. The two main remote sensing approaches to estimating ETc are the surface energy balance and the FAO56-based approach, that uses the ability of vegetation indices (VI) to trace the crop coefficient. Both approaches were evaluated comparatively at the Río Dulce irrigation scheme in Argentina (where the predominant crops are cotton, alfalfa, and maize) using products from the Landsat 7 and 8 sensors provided by the EEFlux application. The first analysis used field-specific, VI-derived basal crop coefficients obtained for 1743 fields using series of 9–29 satellite images along the 2014−15 irrigation campaign. The second analysis used 30 fields (grown with cotton and maize) where the actual irrigation schedules in the 2014−15 irrigation campaign were known. A root zone soil water balance was computed in these fields using the FAO56 dual approach with field-specific, VI-derived basal crop coefficients. The ETc obtained from the water balance was compared with the ETc estimated using a single crop coefficient approach that uses field-specific VI and takes into account soil evaporation (herein called synthetic approach), and with the ETc obtained with the METRIC surface energy balance model as facilitated by the EEFlux application. The third analysis was a simulation analysis of errors in the estimation of the ETc due to the interpolation to daily values of single crop coefficients and basal crop coefficients determined at hypothetical satellite overpass intervals of longer than one day. The VI-derived basal crop coefficient curves obtained for the 1743 fields of the first analysis were below the locally adopted standard (not field-specific) basal crop coefficient. Crop evapotranspiration in the 8005 ha covered by this analysis was about 20 % higher when applying standard non-field specific curves than when applying VI-derived curves. This difference pointed to the importance of using field-specific estimations of ETc. In the analysis carried out on the 30 selected fields, the ETc estimated using the VI-based approach agreed well with the ETc obtained from the water balance except under water deficit conditions. The crop coefficients obtained for these fields using the METRIC model correlated with those obtained by applying the VI-based method, although the former tended to be higher than the latter in the lower value range. The analysis of interpolation errors showed that when satellite overpass frequency is greater than one week and water deficit is mild or inexistent, the interpolation of crop coefficients (for instance, of those derived from an energy balance) gives errors of ETc estimations that are greater than those resulting from the VI-based approach. Under water deficit conditions, the VI-based approach systematically overestimates evapotranspiration.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:agiwat:v:243:y:2021:i:c:s0378377420300974
    DOI: 10.1016/j.agwat.2020.106450
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377420300974
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2020.106450?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. González-Dugo, M.P. & Escuin, S. & Cano, F. & Cifuentes, V. & Padilla, F.L.M. & Tirado, J.L. & Oyonarte, N. & Fernández, P. & Mateos, L., 2013. "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. II. Application on basin scale," Agricultural Water Management, Elsevier, vol. 125(C), pages 92-104.
    2. Borgia, Cecilia & García-Bolaños, Mariana & Li, Tao & Gómez-Macpherson, Helena & Comas, Jordi & Connor, David & Mateos, Luciano, 2013. "Benchmarking for performance assessment of small and large irrigation schemes along the Senegal Valley in Mauritania," Agricultural Water Management, Elsevier, vol. 121(C), pages 19-26.
    3. Molden, David J. & Sakthivadivel, Ramasamy & Perry, Christopher J. & de Fraiture, Charlotte & Kloezen, Wim H., 1998. "Indicators for comparing performance of irrigated agricultural systems," IWMI Research Reports 44581, International Water Management Institute.
    4. Gibson, Katherine E.B. & Yang, Haishun S. & Franz, Trenton & Eisenhauer, Dean & Gates, John B. & Nasta, Paolo & Farmaha, Bhupinder S. & Grassini, Patricio, 2018. "Assessing explanatory factors for variation in on-farm irrigation in US maize-soybean systems," Agricultural Water Management, Elsevier, vol. 197(C), pages 34-40.
    5. Al Zayed, Islam Sabry & Elagib, Nadir Ahmed & Ribbe, Lars & Heinrich, Jürgen, 2016. "Satellite-based evapotranspiration over Gezira Irrigation Scheme, Sudan: A comparative study," Agricultural Water Management, Elsevier, vol. 177(C), pages 66-76.
    6. Gonzalez-Dugo, M.P. & Mateos, L., 2008. "Spectral vegetation indices for benchmarking water productivity of irrigated cotton and sugarbeet crops," Agricultural Water Management, Elsevier, vol. 95(1), pages 48-58, January.
    7. López-Urrea, R. & Martín de Santa Olalla, F. & Montoro, A. & López-Fuster, P., 2009. "Single and dual crop coefficients and water requirements for onion (Allium cepa L.) under semiarid conditions," Agricultural Water Management, Elsevier, vol. 96(6), pages 1031-1036, June.
    8. Mateos, L. & González-Dugo, M.P. & Testi, L. & Villalobos, F.J., 2013. "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. I. Method validation," Agricultural Water Management, Elsevier, vol. 125(C), pages 81-91.
    9. Carpintero, E. & Mateos, L. & Andreu, A. & González-Dugo, M.P., 2020. "Effect of the differences in spectral response of Mediterranean tree canopies on the estimation of evapotranspiration using vegetation index-based crop coefficients," Agricultural Water Management, Elsevier, vol. 238(C).
    10. Bos, M. G. & Burton, M. A. & Molden, David J., 2005. "Irrigation and drainage performance assessment: practical guidelines," IWMI Books, Reports H037064, International Water Management Institute.
    11. Molden, D. J. & Sakthivadivel, R. & Perry, C. J. & de Fraiture, C. & Kloezen, W. H., 1998. "Indicators for comparing performance of irrigated agricultural systems," IWMI Research Reports H022308, International Water Management Institute.
    12. D'Urso, G. & Richter, K. & Calera, A. & Osann, M.A. & Escadafal, R. & Garatuza-Pajan, J. & Hanich, L. & Perdigão, A. & Tapia, J.B. & Vuolo, F., 2010. "Earth Observation products for operational irrigation management in the context of the PLEIADeS project," Agricultural Water Management, Elsevier, vol. 98(2), pages 271-282, December.
    13. 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.
    14. Lozano, David & Mateos, Luciano, 2008. "Usefulness and limitations of decision support systems for improving irrigation scheme management," Agricultural Water Management, Elsevier, vol. 95(4), pages 409-418, April.
    15. Pôças, I. & Calera, A. & Campos, I. & Cunha, M., 2020. "Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches," Agricultural Water Management, Elsevier, vol. 233(C).
    16. Zema, Demetrio Antonio & Nicotra, Angelo & Mateos, Luciano & Zimbone, Santo Marcello, 2018. "Improvement of the irrigation performance in Water Users Associations integrating data envelopment analysis and multi-regression models," Agricultural Water Management, Elsevier, vol. 205(C), pages 38-49.
    17. Tasumi, Masahiro & Allen, Richard G., 2007. "Satellite-based ET mapping to assess variation in ET with timing of crop development," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 54-62, March.
    18. Rodriguez-Diaz, J.A. & Camacho-Poyato, E. & Lopez-Luque, R. & Perez-Urrestarazu, L., 2008. "Benchmarking and multivariate data analysis techniques for improving the efficiency of irrigation districts: An application in spain," Agricultural Systems, Elsevier, vol. 96(1-3), pages 250-259, March.
    19. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Tianxin & Melton, Forrest S. & Pôças, Isabel & Johnson, Lee F. & Thao, Touyee & Post, Kirk & Cassel-Sharma, Florence, 2021. "Evaluation of crop coefficient and evapotranspiration data for sugar beets from landsat surface reflectances using micrometeorological measurements and weighing lysimetry," Agricultural Water Management, Elsevier, vol. 244(C).
    2. 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.
    3. Faith M. Muema & Patrick G. Home & James M. Raude, 2018. "Application of Benchmarking and Principal Component Analysis in Measuring Performance of Public Irrigation Schemes in Kenya," Agriculture, MDPI, vol. 8(10), pages 1-20, October.
    4. Garrido-Rubio, Jesús & González-Piqueras, Jose & Campos, Isidro & Osann, Anna & González-Gómez, Laura & Calera, Alfonso, 2020. "Remote sensing–based soil water balance for irrigation water accounting at plot and water user association management scale," Agricultural Water Management, Elsevier, vol. 238(C).
    5. Benavides, Juan & Hernández-Plaza, Eva & Mateos, Luciano & Fereres, Elías, 2021. "A global analysis of irrigation scheme water supplies in relation to requirements," Agricultural Water Management, Elsevier, vol. 243(C).
    6. Pereira, L.S. & Paredes, P. & López-Urrea, R. & Hunsaker, D.J. & Mota, M. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for vegetable crops, an update of FAO56 crop water requirements approach," Agricultural Water Management, Elsevier, vol. 243(C).
    7. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    8. Zema, Demetrio Antonio & Nicotra, Angelo & Mateos, Luciano & Zimbone, Santo Marcello, 2018. "Improvement of the irrigation performance in Water Users Associations integrating data envelopment analysis and multi-regression models," Agricultural Water Management, Elsevier, vol. 205(C), pages 38-49.
    9. Borgia, Cecilia & García-Bolaños, Mariana & Li, Tao & Gómez-Macpherson, Helena & Comas, Jordi & Connor, David & Mateos, Luciano, 2013. "Benchmarking for performance assessment of small and large irrigation schemes along the Senegal Valley in Mauritania," Agricultural Water Management, Elsevier, vol. 121(C), pages 19-26.
    10. 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.
    11. Mokhtari, Ali & Noory, Hamideh & Vazifedoust, Majid & Bahrami, Mahdi, 2018. "Estimating net irrigation requirement of winter wheat using model- and satellite-based single and basal crop coefficients," Agricultural Water Management, Elsevier, vol. 208(C), pages 95-106.
    12. Mokhtari, Ali & Noory, Hamideh & Vazifedoust, Majid & Palouj, Mojtaba & Bakhtiari, Atousa & Barikani, Elham & Zabihi Afrooz, Ramezan Ali & Fereydooni, Fatemeh & Sadeghi Naeni, Ali & Pourshakouri, Farr, 2019. "Evaluation of single crop coefficient curves derived from Landsat satellite images for major crops in Iran," Agricultural Water Management, Elsevier, vol. 218(C), pages 234-249.
    13. Moreno-Pérez, M. Fátima & Roldán-Cañas, José, 2013. "Assessment of irrigation water management in the Genil-Cabra (Córdoba, Spain) irrigation district using irrigation indicators," Agricultural Water Management, Elsevier, vol. 120(C), pages 98-106.
    14. Uysal, Özlem Karahan & AtIs, Ela, 2010. "Assessing the performance of participatory irrigation management over time: A case study from Turkey," Agricultural Water Management, Elsevier, vol. 97(7), pages 1017-1025, July.
    15. van Halsema, Gerardo E. & Vincent, Linden, 2012. "Efficiency and productivity terms for water management: A matter of contextual relativism versus general absolutism," Agricultural Water Management, Elsevier, vol. 108(C), pages 9-15.
    16. Mahmoud, Shereif H. & Gan, Thian Yew, 2019. "Irrigation water management in arid regions of Middle East: Assessing spatio-temporal variation of actual evapotranspiration through remote sensing techniques and meteorological data," Agricultural Water Management, Elsevier, vol. 212(C), pages 35-47.
    17. Lecina, S. & Isidoro, D. & Playán, E. & Aragüés, R., 2010. "Irrigation modernization and water conservation in Spain: The case of Riegos del Alto Aragón," Agricultural Water Management, Elsevier, vol. 97(10), pages 1663-1675, October.
    18. 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.
    19. 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.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:243:y:2021:i:c:s0378377420300974. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.