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Improvement of FAO-56 method for olive orchards through sequential assimilation of thermal infrared-based estimates of ET

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  • Er-Raki, S.
  • Chehbouni, A.
  • Hoedjes, J.
  • Ezzahar, J.
  • Duchemin, B.
  • Jacob, F.

Abstract

The aim of this study is to use the FAO-56-based single crop coefficient approach to estimate actual evapotranspiration (AET) of an olive (Olea europaea L.) orchard in the Mediterranean semi arid region of Tensift-basin (central Morocco) during two consecutive growing seasons (2003 and 2004). The results showed that using crop coefficients Kc suggested by FAO-56 method yielded an AET overestimation by about 18% when compared against eddy covariance measurements. Therefore, the determination of appropriate Kc values is required to accurately estimate crop water requirement of olive orchards in such water scarce area. In this study, after applying the Kc values derived over olive orchard in Spain by Pastor and Orgaz [Pastor, M., Orgaz, F., 1994. Riego deficitario del olivar: los programas de recorte de riego en olivar. Agricultura 746, 768-776 (in Spanish)], a better agreement was observed between measured and simulated AET. The root mean square error (RMSE) was reduced by about 28%, from 0.80 to 0.61 mm/day for 2003 and from 0.93 to 0.69 mm/day for 2004. The used Kc values of olives at three crop growth stages (initial, mid-season and maturity) were 0.65, 0.45, and 0.65, respectively, the mid-season stage value being considerably lower than that suggested by the FAO-56. Despite these improvements in the performance of AET simulations, some discrepancies between measured and simulated AET remained, especially when water stress occurred. These discrepancies were ascribed to the estimation of the stress coefficient Kc To overcome this problem, we assimilated into FAO-56 single source model estimates of AET derived from a simple energy balance model along with thermal infrared observations. The latter were collected with the ASTER sensor in 2003 and from ground-based measurements in 2004. The results showed a clear improvement for FAO-56 performances after assimilation: for 2003 and 2004, the RMSE values between observations and simulations, respectively, dropped down from 0.61 to 0.52 and from 0.69 to 0.46 (corresponding to relative reductions of 15 and 40%, respectively).

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  • Er-Raki, S. & Chehbouni, A. & Hoedjes, J. & Ezzahar, J. & Duchemin, B. & Jacob, F., 2008. "Improvement of FAO-56 method for olive orchards through sequential assimilation of thermal infrared-based estimates of ET," Agricultural Water Management, Elsevier, vol. 95(3), pages 309-321, March.
  • Handle: RePEc:eee:agiwat:v:95:y:2008:i:3:p:309-321
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    5. Amazirh, Abdelhakim & Er-Raki, Salah & Ojha, Nitu & Bouras, El houssaine & Rivalland, Vincent & Merlin, Olivier & Chehbouni, Abdelghani, 2022. "Assimilation of SMAP disaggregated soil moisture and Landsat land surface temperature to improve FAO-56 estimates of ET in semi-arid regions," Agricultural Water Management, Elsevier, vol. 260(C).
    6. Jamshidi, Sajad & Zand-Parsa, Shahrokh & Kamgar-Haghighi, Ali Akbar & Shahsavar, Ali Reza & Niyogi, Dev, 2020. "Evapotranspiration, crop coefficients, and physiological responses of citrus trees in semi-arid climatic conditions," Agricultural Water Management, Elsevier, vol. 227(C).
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    8. Sánchez, Nilda & Martínez-Fernández, José & Calera, Alfonso & Torres, Enrique & Pérez-Gutiérrez, Carlos, 2010. "Combining remote sensing and in situ soil moisture data for the application and validation of a distributed water balance model (HIDROMORE)," Agricultural Water Management, Elsevier, vol. 98(1), pages 69-78, December.
    9. Athanasios Margonis & Georgia Papaioannou & Petros Kerkides & Gianna Kitsara & George Bourazanis, 2018. "Canopy Resistance and Actual Evapotranspiration over an Olive Orchard," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 5007-5026, December.
    10. Ramos, Tiago B. & Darouich, Hanaa & Oliveira, Ana R. & Farzamian, Mohammad & Monteiro, Tomás & Castanheira, Nádia & Paz, Ana & Gonçalves, Maria C. & Pereira, Luís S., 2023. "Water use and soil water balance of Mediterranean tree crops assessed with the SIMDualKc model in orchards of southern Portugal," Agricultural Water Management, Elsevier, vol. 279(C).
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    12. El Hajj, Marcel M. & Johansen, Kasper & Almashharawi, Samer K. & McCabe, Matthew F., 2023. "Water uptake rates over olive orchards using Sentinel-1 synthetic aperture radar data," Agricultural Water Management, Elsevier, vol. 288(C).
    13. Ouaadi, Nadia & Jarlan, Lionel & Khabba, Saïd & Le Page, Michel & Chakir, Adnane & Er-Raki, Salah & Frison, Pierre-Louis, 2023. "Are the C-band backscattering coefficient and interferometric coherence suitable substitutes of NDVI for the monitoring of the FAO-56 crop coefficient?," Agricultural Water Management, Elsevier, vol. 282(C).
    14. Panagiotis Christias & Ioannis N. Daliakopoulos & Thrassyvoulos Manios & Mariana Mocanu, 2020. "Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support," Mathematics, MDPI, vol. 8(5), pages 1-26, May.
    15. Ortega-Salazar, Samuel & Ortega-Farías, Samuel & Kilic, Ayse & Allen, Richard, 2021. "Performance of the METRIC model for mapping energy balance components and actual evapotranspiration over a superintensive drip-irrigated olive orchard," Agricultural Water Management, Elsevier, vol. 251(C).
    16. Olivera-Guerra, Luis & Merlin, Olivier & Er-Raki, Salah & Khabba, Saïd & Escorihuela, Maria Jose, 2018. "Estimating the water budget components of irrigated crops: Combining the FAO-56 dual crop coefficient with surface temperature and vegetation index data," Agricultural Water Management, Elsevier, vol. 208(C), pages 120-131.
    17. 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).
    18. 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.
    19. Ayyoub, A. & Er-Raki, S. & Khabba, S. & Merlin, O. & Ezzahar, J. & Rodriguez, J.C. & Bahlaoui, A. & Chehbouni, A., 2017. "A simple and alternative approach based on reference evapotranspiration and leaf area index for estimating tree transpiration in semi-arid regions," Agricultural Water Management, Elsevier, vol. 188(C), pages 61-68.
    20. Martínez-Cob, A. & Faci, J.M., 2010. "Evapotranspiration of an hedge-pruned olive orchard in a semiarid area of NE Spain," Agricultural Water Management, Elsevier, vol. 97(3), pages 410-418, March.
    21. Jafari, Mohammad & Kamali, Hamidreza & Keshavarz, Ali & Momeni, Akbar, 2021. "Estimation of evapotranspiration and crop coefficient of drip-irrigated orange trees under a semi-arid climate," Agricultural Water Management, Elsevier, vol. 248(C).

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