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An innovative remote sensing based reference evapotranspiration method to support irrigation water management under semi-arid conditions

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  • Cruz-Blanco, M.
  • Lorite, I.J.
  • Santos, C.

Abstract

Reference evapotranspiration (ETo) is an essential component of irrigation water management due to it being a basic input for estimating crop water requirements. Multiple approaches have been identified for ETo assessment but most of them are based on daily meteorological data provided by weather station networks that provide an accurate meteorological characterization. A new alternative approach called MA+LSE based on the Makkink-Advection (MAK-Adv) equation in combination with remotely sensed solar radiation and a numerical weather forecast of near surface air temperature has provided good estimates of ETo under different weather conditions in a semi-arid region located in Southern Spain, without requiring local meteorological data.

Suggested Citation

  • Cruz-Blanco, M. & Lorite, I.J. & Santos, C., 2014. "An innovative remote sensing based reference evapotranspiration method to support irrigation water management under semi-arid conditions," Agricultural Water Management, Elsevier, vol. 131(C), pages 135-145.
    • Handle: RePEc:eee:agiwat:v:131:y:2014:i:c:p:135-145
    DOI: 10.1016/j.agwat.2013.09.017
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    1. Lopez-Urrea, R. & Martin de Santa Olalla, F. & Fabeiro, C. & Moratalla, A., 2006. "Testing evapotranspiration equations using lysimeter observations in a semiarid climate," Agricultural Water Management, Elsevier, vol. 85(1-2), pages 15-26, September.
    2. Landeras, Gorka & Ortiz-Barredo, Amaia & López, Jose Javier, 2008. "Comparison of artificial neural network models and empirical and semi-empirical equations for daily reference evapotranspiration estimation in the Basque Country (Northern Spain)," Agricultural Water Management, Elsevier, vol. 95(5), pages 553-565, May.
    3. Lorite, I.J. & Mateos, L. & Orgaz, F. & Fereres, E., 2007. "Assessing deficit irrigation strategies at the level of an irrigation district," Agricultural Water Management, Elsevier, vol. 91(1-3), pages 51-60, July.
    4. Utset, Angel & Farre, Imma & Martinez-Cob, Antonio & Cavero, Jose, 2004. "Comparing Penman-Monteith and Priestley-Taylor approaches as reference-evapotranspiration inputs for modeling maize water-use under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 66(3), pages 205-219, May.
    5. Sentelhas, Paulo C. & Gillespie, Terry J. & Santos, Eduardo A., 2010. "Evaluation of FAO Penman-Monteith and alternative methods for estimating reference evapotranspiration with missing data in Southern Ontario, Canada," Agricultural Water Management, Elsevier, vol. 97(5), pages 635-644, May.
    6. Raziei, Tayeb & Pereira, Luis S., 2013. "Estimation of ETo with Hargreaves–Samani and FAO-PM temperature methods for a wide range of climates in Iran," Agricultural Water Management, Elsevier, vol. 121(C), pages 1-18.
    7. Gavilan, P. & Lorite, I.J. & Tornero, S. & Berengena, J., 2006. "Regional calibration of Hargreaves equation for estimating reference ET in a semiarid environment," Agricultural Water Management, Elsevier, vol. 81(3), pages 257-281, March.
    8. Geerts, S. & Raes, D. & Garcia, M., 2010. "Using AquaCrop to derive deficit irrigation schedules," Agricultural Water Management, Elsevier, vol. 98(1), pages 213-216, December.
    9. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    10. Pereira, Antonio Roberto & Pruitt, William Oregon, 2004. "Adaptation of the Thornthwaite scheme for estimating daily reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 66(3), pages 251-257, May.
    11. Garci­a-Vila, M. & Lorite, I.J. & Soriano, M.A. & Fereres, E., 2008. "Management trends and responses to water scarcity in an irrigation scheme of Southern Spain," Agricultural Water Management, Elsevier, vol. 95(4), pages 458-468, April.
    12. Jabloun, M. & Sahli, A., 2008. "Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data: Application to Tunisia," Agricultural Water Management, Elsevier, vol. 95(6), pages 707-715, June.
    13. Espadafor, M. & Lorite, I.J. & Gavilán, P. & Berengena, J., 2011. "An analysis of the tendency of reference evapotranspiration estimates and other climate variables during the last 45 years in Southern Spain," Agricultural Water Management, Elsevier, vol. 98(6), pages 1045-1061, April.
    14. Payero, José O. & Tarkalson, David D. & Irmak, Suat & Davison, Don & Petersen, James L., 2008. "Effect of irrigation amounts applied with subsurface drip irrigation on corn evapotranspiration, yield, water use efficiency, and dry matter production in a semiarid climate," Agricultural Water Management, Elsevier, vol. 95(8), pages 895-908, August.
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    2. Hassan-Esfahani, Leila & Torres-Rua, Alfonso & McKee, Mac, 2015. "Assessment of optimal irrigation water allocation for pressurized irrigation system using water balance approach, learning machines, and remotely sensed data," Agricultural Water Management, Elsevier, vol. 153(C), pages 42-50.
    3. Bwambale, Erion & Abagale, Felix K. & Anornu, Geophrey K., 2022. "Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review," Agricultural Water Management, Elsevier, vol. 260(C).
    4. Vera-Repullo, J.A. & Ruiz-Peñalver, L. & Jiménez-Buendía, M. & Rosillo, J.J. & Molina-Martínez, J.M., 2015. "Software for the automatic control of irrigation using weighing-drainage lysimeters," Agricultural Water Management, Elsevier, vol. 151(C), pages 4-12.
    5. 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.

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