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Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. II. Application on basin scale

Author

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  • González-Dugo, M.P.
  • Escuin, S.
  • Cano, F.
  • Cifuentes, V.
  • Padilla, F.L.M.
  • Tirado, J.L.
  • Oyonarte, N.
  • Fernández, P.
  • Mateos, L.

Abstract

Water management at different decision levels may be supported by the assessment of evapotranspiration (ET) on large spatial scales. In this study, a previously validated approach to estimating unstressed ET, based on the ability of vegetation indices to trace crop growth and thus to derive basal crop coefficients, has been applied to the irrigated areas of the Guadalquivir river basin in southern Spain. Vegetation indices, provided by a series of high spatial resolution satellite images for 2007, 2008 and 2009, supported the assessment of daily to seasonal ET of individual fields, enabling crop-oriented and individual water use to be analysed. The segmentation of the basin into zones with homogeneous climate and crop-growth patterns was the first step towards crop identification based on temporal trends in the Soil-Adjusted Vegetation Index (SAVI). Non-permanent crops were classified with good accuracy. Existing spatial databases of permanent crops enabled land use to be determined. The applied methodology has been compiled in a planning and operational tool named MINARET (MonitorINg irrigated AgricultuRe ET) for routinely monitoring crop water consumption in the irrigated lands of the Guadalquivir basin and it is now available for the Guadalquivir river authority.

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  • 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.
    • Handle: RePEc:eee:agiwat:v:125:y:2013:i:c:p:92-104
    DOI: 10.1016/j.agwat.2013.03.024
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    16. Consoli, S. & Vanella, D., 2014. "Mapping crop evapotranspiration by integrating vegetation indices into a soil water balance model," Agricultural Water Management, Elsevier, vol. 143(C), pages 71-81.
    17. E.V. Taguas & J. Gómez & P. Denisi & L. Mateos, 2015. "Modelling the Rainfall-Runoff Relationships in a Large Olive Orchard Catchment in Southern Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2361-2375, May.
    18. 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).
    19. Campos, Isidro & Neale, Christopher M.U. & Suyker, Andrew E. & Arkebauer, Timothy J. & Gonçalves, Ivo Z., 2017. "Reflectance-based crop coefficients REDUX: For operational evapotranspiration estimates in the age of high producing hybrid varieties," Agricultural Water Management, Elsevier, vol. 187(C), pages 140-153.
    20. Laura Ávila-Dávila & José Miguel Molina-Martínez & Carlos Bautista-Capetillo & Manuel Soler-Méndez & Cruz Octavio Robles Rovelo & Hugo Enrique Júnez-Ferreira & Julián González-Trinidad, 2021. "Estimation of the Evapotranspiration and Crop Coefficients of Bell Pepper Using a Removable Weighing Lysimeter: A Case Study in the Southeast of Spain," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    21. 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).
    22. 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.
    23. Zhang, Yu & Han, Wenting & Zhang, Huihui & Niu, Xiaotao & Shao, Guomin, 2023. "Evaluating maize evapotranspiration using high-resolution UAV-based imagery and FAO-56 dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 275(C).
    24. 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).
    25. Delgado, Bueno & Paredes, Madrid & Martínez, Molina, 2015. "Software application for calculating solar radiation and equivalent evaporation in mobile devices," Agricultural Water Management, Elsevier, vol. 151(C), pages 30-36.

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