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a semiarid region of Spain, Journal of the Agricultural Engineering Resources, 70: 285–294.Burgess, S.S.O., Adams, M.A., Turner, N.C., Ong, C.K. 1998. The redistribution of soil water bytree root systems. Oecologia, 115: 306-311.Burgess, S.S.O., Adams, M.A., Turner, N.C., Beverly, C.R., Ong, C.K., Khan, A.A.H.,Bleby,T.M. 2001. An improved heat pulse method to measure slow and reverse flow inwoody plants. Tree Physiology. 21:589-598.Braud, I., Dantas-Antonino, A.C., Vauclin, M., Thony, J.L.,Ruelle, P., 1995. A simple soil- plantatmospheretransfer model (SiSPAT) development and field verification. J. Hydrol. 166:213–250.Brisson N., Mary B., Ripoche D., Jeuffroy M.H., Ruget F., Nicoullaud B., Gate P., Devienne-Baret F., Antonioletti R., Durr C., Richard G., Beaudoin N., Recous S., Tayot X., PlenetD., Cellier P., Machet J.M., Meynard J.M., Delécolle R., 1998. STICS: a generic modelfor the simulation of crops and their water and nitrogen balances. I. Theory andparametrization applied to wheat and corn, Agronomy journal 18: 311-346.Brisson N., 1999. Documentation de STICS version 4.0, Copyright INRA.Carlson, T.N., et M.J., Buffum, 1989. On estimating total daily evapotranspiration from remotesurface temperature measurements. Remote Sensing of Environment, 29, 197-207.Caselles, V., & Delegido, J., 1987. A simple model to estimate the daily value of the regionalmaximum evapotranspiration from satellite temperature and albedo images, InternationalJournal of Remote Sensing, 8: 1151– 1152.Caselles, V., Artigao, M.M., Hurtado, E., Coll, C., Brasa, A., 1998. Mapping actualevapotranspiration by combining landsat TM and NOAA-AVHRR images: application tothe Barrax Area, Albacete, Spain. Remote Sensing of Environment 63, 1–10.Chanzy, A., 1991. Modelisation simplifiée de l’évaporation d’un sol nu utilisant l’humidité et latemperature de surface accessibles par télédétection. Thèse de docteur ingénieuragronome de l’Institut National Agronomique Paris-Grignon, France, p221.Chaudhury, B.J., 1997. Estimating land surface evaporation using multispectral satellite andancillary data. In: Kite, G.W., Pietronir, A., Pultz, T. (Eds.), Applications of RemoteSensing in Hydrology. Proceedings of the Symposium No. 17 NHRI, Saskatoon, CanadaNational Hydrology Research Institute (NHRI).94
Chehbouni, A., D.C. Goodrich, M.S. Moran, C.J. Watts, Y.H. Kerr, G. Dedieu, W.G. Kepner,W.J. Shuttleworth et S. Sorooshian, 2000. A Preliminary Synthesis of Major ScientificResults during the Salsa Program, Agricultural and Forest Meteorology, 105, 311-323.Chehbouni A., Escadafal R., Dedieu G., Errouane S., Boulet G., Duchemin B., Mougenot B.,Sminonneaux V., Seghieri J., Timouk F., 2003. A multidisciplinary program for assessingthe sustainability of water resources in semi-arid basin in Morocco: SUDMED. EGS -AGU - EUG Joint Assembly, Nice, France, 6-11 April 2003.Chehbouni A., Escadafal R., Boulet G., Duchemin B., Dedieu G., Hannich L., et al. 2004.Integrated modelling and remote sensing approach for sustainable management of waterresources in Tensift region (SudMed) : preliminary results, current status and newchallenges. Integrated Water Resources Research and Development in southeasternMorocco, International Conference, 1st- 2nd April 2004, Ouarzazate, Morocco.Chehbouni, A., Escadafal, R., Boulet, G., Duchemin, B., Simonneaux, V., Dedieu, G.,Mougenot, B., Khabba, S., Kharrou, H., Merlin, O., Chaponnière, A., Ezzahar, J., Er-Raki, S., Hoedjes, J., Hadria, R., Abourida, H., Cheggour, A., Raibi, F., Hanich, L.,Guemouria, N., Chehbouni, Ah., Olioso, A., Jacob, F., Sobrino, J., 2007. The Use ofRemotely Sensed data for Integrated Hydrological Modeling in Arid and Semi-AridRegions: the SUDMED Program. Int. J. Remote Sens. accepted.Choudhury, B.J., Ahmed, N.U., Idso, S.B., Reginato, R.J., and Daughtry, C.S.T., 1994. RelationsBetween evaporation coefficients and vegetation indices studies by model simulations.Remote Sens. Environ., 50: 1-17.Chuanyana, Z., Zhongrena, N., Zhaodonga, F., 2004. GIS-assisted spatially distributed modelingof the potential evapotranspiration in semi-arid climate of the Chinese Loess Plateau.Journal of arid environment, 58: 387-403.Civantos, L., 1997. La olivicultura en el mundo y en Espan˜a. In: Barranco, D., Fernandez-Escobar, R., Rallo, L. (Eds.), El cultivo del olivo. Mundi-Prensa, Madrid, pp. 15–31.Damagnez, J. 1968. les bilans hydriques et énergétiques et l’étude des facteurs du milieu.Agroclimatological method. Proc. Of the Redding Sym. UNESCO, Paris.Droogers, P., Allen, R.G., 2002. Estimating reference evapotranspiration under inaccurate dataconditions. Irrig. Drain. Syst., 16: 33–45.95
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A mes chers ParentsA mes frères et
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• Projet SUDMED: Collaboration en
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3. Er-Raki, S., Chehbouni, G., Guem
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ont donné l’accès de faire les
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évaporation du sol (30% de l’irr
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which it was estimated spatially by
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SommaireRESUME.....................
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Figure 3. 9. Coefficient du stress
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Comme grand nombre de pays à trave
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CHAPITRE 1 : BESOINS EN EAU DESCULT
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1.3 La culture de l’olivierImport
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Tenant compte de l’importance éc
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Où ET représente l’évapotransp
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LandSat 4 …, basse résolution NO
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principalement sur des relations en
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Dans ce chapitre, nous allons prés
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Figure 2. 1. Trois types d’évapo
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couvert foliaire, et (4) la phase d
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Avec :K c max : Valeur maximale de
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Si on utilise l’approche à coeff
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2.3.1 Présentation de la région d
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généralement de zone Bour. L’ab
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Table 2. 1. Les différents paramè
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En plus des mesures météorologiqu
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Ces scènes couvrent la période du
Page 60 and 61: 3.1 IntroductionDans ce chapitre, n
Page 62 and 63: Figure 3. 1. Évolution de la fract
Page 64 and 65: 3.2.2 Comparaison de l’évapotran
Page 66 and 67: 8Champ 176AET(mm/day)5432100 20 40
Page 68 and 69: Table 3. 2. Comparasion entre l’
Page 70 and 71: paramètres sont détaillées dans
Page 72 and 73: ETR,mm/jour876543210estimated actua
Page 74 and 75: 3.3.3 Partition de l’évapotransp
Page 76 and 77: T/ET1.20.80.40(T/ETR)est (T/ETR)mes
Page 79 and 80: 3.4 Application du modèle FAO-56 p
Page 81 and 82: les valeurs deKCdonnées par Allen
Page 83 and 84: 1Kc-FAO-56Measured KcCoefficient cu
Page 85: Kc- irrigation localiseIrrigation-g
Page 88 and 89: 4.1 IntroductionEn général, l’e
Page 91: Figure 4. 1. Domaine d’étude ave
Page 96: 45020406080100120140400350300250200
Page 99 and 100: ETc simulée, (mm/jour)8642RMSE=0.8
Page 101 and 102: estimation des besoins en eau par l
Page 103 and 104: Les travaux menés dans le cadre de
Page 105 and 106: eau fournie par l’Office Régiona
Page 107 and 108: REFERENCES BIBLIOGRAPHIQUES91
Page 109: Barret, DJ., Hatton, TJ., Ash, JE.,
Page 113 and 114: tests, root flow and diagnostics of
Page 115 and 116: Katerji, N., and Hallaire, M. 1984:
Page 117 and 118: Ritchie J.T., 1986. The CERES-Maize
Page 119 and 120: Wanjura, D. F., and Mahan, J. R., 1
Page 121 and 122: Un grand nombre de méthodes empiri
Page 123 and 124: T max : est la température journal
Page 125 and 126: ANNEXE B : DESCRIPTION DE LAMETHODE
Page 127 and 128: ρk gw= k wm bρc+ kρdw(1− m bc)
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