R. G. Allen, L. S. Pereira, D. Raes, and M. Smith, Crop Evapotranspiration?Guidelines 589 for Computing Crop Water Requirements, Irrigation and Drain, Paper No. 56, p.590, 1998.

R. G. Allen, Concept paper?accuracy of predictions of project-wide evapotranspiration 592 using crop coefficients and reference evapotranspiration in a large irrigation project, p.593, 1999.

R. G. Allen, Using the FAO-56 dual crop coefficient method over an irrigated region as part of an evapotranspiration intercomparison study, Journal of Hydrology, vol.229, issue.1-2, pp.27-41, 2000.
DOI : 10.1016/S0022-1694(99)00194-8

R. G. Allen, L. S. Pereira, M. Smith, D. Raes, W. et al., FAO-56 dual crop 599 coefficient method for estimating evaporation from soil and application extensions, J. Irrig, p.600, 2005.

R. G. Allen, A. J. Clemmens, C. M. Burt, K. Solomon, O. Halloran et al., Prediction Accuracy for Projectwide Evapotranspiration Using Crop Coefficients and Reference Evapotranspiration, Journal of Irrigation and Drainage Engineering, vol.131, issue.1, pp.24-36, 2005.
DOI : 10.1061/(ASCE)0733-9437(2005)131:1(24)

D. D. Baldocchi, B. E. Law, and P. M. Anthoni, On measuring and modeling energy fluxes 605 above the floor of a homogeneous and heterogeneous conifer forest, Agric. For. Meteorol, vol.606, pp.102-187, 2000.

G. Boulet, A. Chehbouni, I. Braud, M. Vauclin, R. Haverkamp et al., A 608 simple water and energy balance model designed for regionalization and remote sensing data, pp.213-250, 2000.

N. Brisson, B. Mary, and D. Ripoche, STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parameterization applied to wheat and corn, Agronomie, vol.18, issue.5-6, pp.311-346, 1998.
DOI : 10.1051/agro:19980501

URL : https://hal.archives-ouvertes.fr/hal-00885888

S. S. Burgess, M. A. Adams, N. C. Turner, and C. K. Ong, The redistribution of soil water by tree root systems, Oecologia, vol.115, issue.3, pp.306-311, 1998.
DOI : 10.1007/s004420050521

S. S. Burgess, M. A. Adams, N. C. Turner, C. R. Beverly, C. K. Ong et al., An improved heat pulse method to measure slow and reverse flow in woody 620 plants, Tree Physiol, vol.619, issue.21, pp.589-598, 2001.

A. Lahrouni, A. Olioso, F. Jacob, D. G. Williams, and J. Sobrino, An integrated 626 modelling and remote sensing approach for hydrological study in arid and semi-arid regions: 627 the SUDMED Programme, Int. J. Remote Sens, vol.29, pp.17-18, 2008.

S. Er-raki, A. Chehbouni, N. Guemouria, B. Duchemin, J. Ezzahar et al., BenHadj, 639 I. 2006. Driven FAO-56 dual crop coefficient approach with remotely-sensed data for 640 estimating water consumptions of wheat crops in a semi-arid region The 2nd International 641

S. Er-raki, G. Chehbouni, N. Guemouria, B. Duchemin, J. Ezzahar et al., Combining FAO-56 model and ground-based remote sensing to estimate water 645 consumptions of wheat crops in a semi-arid region, Agric. Water Manage, vol.644, issue.87, pp.41-54, 2007.

S. Er-raki, A. Chehbouni, N. Guemouria, J. Ezzahar, S. Khabba et al., Citrus orchard evapotranspiration: Comparison between eddy covariance measurements and the FAO-56 approach estimates, Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, vol.143, issue.1, pp.201-208, 2009.
DOI : 10.1016/j.agrformet.2004.04.008

URL : https://hal.archives-ouvertes.fr/ird-00389687

S. Er-raki, A. Chehbouni, and B. Duchemin, Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid Region, Remote Sensing, vol.2, issue.1, pp.375-387, 2010.
DOI : 10.3390/rs2010375

D. Bruin and H. A. , The use of the Scintillation Technique for estimating and 661 monitoring water consumption of olive orchards in a semi-arid region, Agric. Water Manage, vol.662, issue.89, pp.173-184, 2007.

J. E. Fernández and F. Moreno, Water Use by the Olive Tree, Journal of Crop Production, vol.105, issue.2, pp.664-101, 1999.
DOI : 10.1139/b78-274

J. E. Fernández, M. J. Palomo, and A. Díaz-espejo, Heat-pulse measurements of sap 666 flow in olives for automating irrigation: tests, root flow and diagnostics of water stress Agric, p.667, 2001.

C. R. Ford, R. M. Hubbard, B. D. Kloeppel, and J. M. Vose, A comparison of sap flux- 669 based evapotranspiration estimates with catchment-scale water balance, Agric. For. Meteorol, vol.670, pp.145-176, 2007.

J. A. Gómez, J. V. Giráldez, and E. Fereres, Rainfall interception by olive trees in 672 relation to leaf area, Agric. Water Manage, vol.49, issue.1, pp.56-78, 2001.

M. P. González-dugo and L. Mateos, Spectral vegetation indices for benchmarking water productivity of irrigated cotton and sugarbeet crops, Agricultural Water Management, vol.95, issue.1, pp.48-58, 2008.
DOI : 10.1016/j.agwat.2007.09.001

D. Hunsaker, . Pinter, . Jr, E. Barnes, and B. Kimball, Estimating cotton evapotranspiration crop coefficients with a multispectral vegetation index, Irrigation Science, vol.22, issue.2, pp.95-681, 2003.
DOI : 10.1007/s00271-003-0074-6

D. Itenfisu, Adaptation of resistance-based evapotranspiration functions to row crops, p.688, 1998.

G. W. Kite and P. Droogers, Comparing evapotranspiration estimates from satellites, 691 hydrological models and field data, J. Hydrol, vol.209, pp.3-18, 2000.

S. Kogaa and K. Otsuki, Sources of error in estimating stand transpiration using allometric 694 relationships between stem diameter and sapwood area for Cryptomeria japonica and 695, 2005.

Y. Liu and Y. Luo, A consolidated evaluation of the FAO-56 dual crop coefficient approach using the lysimeter data in the North China Plain, Agricultural Water Management, vol.97, issue.1, pp.31-40, 2010.
DOI : 10.1016/j.agwat.2009.07.003

A. Mart?nez-cob and J. M. Faci, Evapotranspiration of an hedge-pruned olive orchard in a semiarid area of NE Spain, Agricultural Water Management, vol.97, issue.3, pp.410-418, 2010.
DOI : 10.1016/j.agwat.2009.10.013

J. L. Monteith, Evaporation and Environment. 19 th Symposia of the Society for 701, 1965.

M. H. Paige and P. E. Cosh, Partitioning evapotranspiration in semiarid grassland 704 and shrubland ecosystems using time series of soil surface temperature, Agric. For. Meteorol, vol.705, pp.149-59, 2009.

A. Olioso, H. Chauki, D. Courault, and J. And-wigneron, Estimation of Evapotranspiration and Photosynthesis by Assimilation of Remote Sensing Data into SVAT Models, Remote Sensing of Environment, vol.68, issue.3, pp.341-356, 1999.
DOI : 10.1016/S0034-4257(98)00121-7

T. A. Paço, M. I. Ferreira, and N. Conceiçao, Peach orchard evapotranspiration in a sandy soil: Comparison between eddy covariance measurements and estimates by the FAO 56 approach, Agricultural Water Management, vol.85, issue.3, pp.305-313, 2006.
DOI : 10.1016/j.agwat.2006.05.014

M. J. Palomo, F. Moreno, J. E. Fernandez, A. Diaz-espejo, and I. F. Giron, Determining 717 water consumption in olive orchards using the water balance approach, Agric. Water Manage, vol.718, pp.55-70, 2002.

S. Peng, J. Ding, Z. Mao, Z. Xu, and D. Li, Estimation and verification of crop 720 coefficient for water saving irrigation of late rice using the FAO-56 method. Transactions of 721 the CSAE, pp.30-34, 2007.

J. Reynolds, . Kemp, . Pr, and J. Tenhunen, Effects of long-term rainfall variability on 723 evapotranspiration and soil water distribution in the Chihuahuan Desert: a modeling analysis, p.724, 2000.

J. T. Ritchie, The CERES-Maize model In: CERES-Maize: Simulation model of maize 726 growth and development, Texas A M University press, 727 college station, pp.3-6, 1986.

J. T. Ritchie, Model for predicting evaporation from a row crop with incomplete cover, Water Resources Research, vol.32, issue.IR1, p.729, 1972.
DOI : 10.1029/WR008i005p01204

R. L. Scott, T. E. Huxman, W. L. Cable, and W. E. Emmerich, Partitioning of, p.736, 2006.

M. G. Bos, Energy and water balance measurements for water productivity analysis in 737 irrigated mango trees, Northeast Brazil, Agric. For. Meteorol, vol.148, pp.1524-1537, 2008.

L. Testi, F. J. Villalobos, and F. Orgaz, Evapotranspiration of a young irrigated olive 739 orchard in southern Spain, Agric. For. Meteorol, vol.12, pp.1-18, 2004.

T. E. Twine, W. P. Kustas, and J. M. Norman, Correcting eddy-covariance flux underestimates over a grassland, Agricultural and Forest Meteorology, vol.103, issue.3, pp.279-300, 2000.
DOI : 10.1016/S0168-1923(00)00123-4

F. J. Villalobos, F. Orgaz, L. Testi, and E. Fereres, Measurement and modeling of evapotranspiration of olive (Olea europaea L.) orchards, European Journal of Agronomy, vol.13, issue.2-3, pp.155-163, 2000.
DOI : 10.1016/S1161-0301(00)00071-X

H. A. De-bruin, A. Chehbouni, and F. Et-timouk, Suivi de la répartition de 746 l'évapotranspiration dans une oliveraie (Olea europaea L.) à l'aide des techniques de l'eddy 747 covariance, 2003.

S. Raki, G. Boulet, H. A. De-bruin, A. Chehbouni, O. K. Hartogensis et al., Evapotranspiration components determined by stable isotope, sap flow and eddy 752 covariance techniques, Agric. For. Meteorol, vol.125, pp.241-258, 2004.

D. G. Williams, Transpiration and evaporation following a moisture pulse in semiarid 755 grassland: a chamber-based isotope method for partitioning evapotranspiration, Agri. For, 2005.