• Projet SUDMED: Collaboration entre l’Université Cadi Ayyad (Maroc) et l’Institutde Recherche pour le développement (France). http://www.irrimed.org/sudmed/• Projet IRRIMED: Collaboration entre Université Cadi Ayyad (le Maroc), Centred’Etudes Spatiale de la Biosphère (<strong>CESBIO</strong>) et Institut de recherche pour ledéveloppement (IRD) (la France), Meteorology and Air Quality Group of theWageningen University (Pays-bas), The Arab Center for the Studies of Arid zones andDry lands (la Syrie), Institut National de Recherche en Génie Rural, Eaux et Forêts (laTunisie) et The Faculty of Agriculture, University of Jordan (Jordanie).(www.irrimed.org)• Projet WATERMED: Collaboration entre Université Cadi Ayyad (Maroc), GlobaleChange Unit (Spain), Institut National de Recherche Agronomique (France), RISOENational Laboratory Technical University of Denmark – DTU (Denmark), andNational Authority for Remote Sensing and Space Sciences (Egypt).(http://www.uv.es/ucg/watermed).- Ce travail a donné lieu aux résultats suivants (communications, publications,…) :Articles dans des revues internationales à comite de lecture1. Er-Raki, S., Chehbouni, A., Guemouria, N., Duchemin, B., Ezzahar, J., Hadria, R., 2007. CombiningFAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in asemi-arid region. Agricultural Water Management, 87: 41-54.2. Er-Raki, S., Chehbouni, A., Guemouria, N., Khabba, S., Simonneaux, V., Ouldbba, A., Rodriguez,J.C., Watts, C. Assessment of reference evapotranspiration methods in semi-arid regions: Can weatherforecast data be used as alternate of ground meteorological parameters? Irrigation and DrainageSystems journal (Soumis).3. Er-Raki, S., Chehbouni, A., Guemouria, N., Ezzahar, J., Khabba, S., Boulet, G., Measurement andmodelling evapotranspiration of irrigated citrus orchard under drip and flood irrigations. PlantBiosystems (Soumis).4. Er-Raki, S., Chehbouni, A., Guemouria, N., Ezzahar, J., Boulet, G., Williams, D.G. Application ofFAO-56 based single and dual crop coefficients approaches for estimating actual evapotranspiration ofolive orchards in a semi-arid region. En preparation.5. Duchemin, B., Hadria, R., Er-Raki, S., Boulet, G., Maisongrande, P., Chehbouni, A., Escadafal, R.,Ezzahar, J., Hoedjes, J.C.B., Karrou, H., Khabba, S., Mougenot, B., Olioso, A., Rodriguez, J-C.,Simonneaux, V., 2006. Monitoring wheat phenology and irrigation in Central Morocco: on the use ofrelationship between evapotranspiration, crops coefficients, leaf area index and remotely-sensedvegetation indices. Agricultural Water Management. 79: 1- 27.iv
6. Ezzahar J., Chehbouni A., Hoedjes, J.C.B., Er-Raki S., Chehbouni Ah, and J-M Bonnefond, and DeBruin, H.A.R. (2007). The use of the Scintillation Technique for estimating and monitoring waterconsumption of olive orchards in a semi-arid region, Agricultural Water Management, 89,173-184.7. Simonneux, V., Duchemin, B., Helson, D., Er-Raki, S., Olioso, A., Chehbouni, A. Using highresolution image time series for crop classification and evapotranspiration estimate over an irrigatedarea in south Morocco. International Journal of Remote Sensing(accepté)8. Hadria, R., B. Duchemin, A. Lahrouni, S. Khabba, S. Er-Raki, G. Dedieu, A. Chehbouni and A.Olioso, 2006. “Monitoring of irrigated wheat in a semi-arid climate using crop modelling and remotesensing data: Impact of satellite revisit time frequency”. International Journal of Remote Sensing. 27:1093-1117.9. Williams, D. G, W. Cable, K. Hultine, J.C.B. Hoedjes, E.A. Yepez, V. Simonneaux, S. Er-Raki, G.Boulet, H.A.R. de Bruin, A. Chehbouni, O.K. Hartogensis, and F. Timouk. 2004. Evapotranspirationcomponents determined by stable isotope, sap flow and eddy covariance technique. Agricultural andForest Meteorology, 125:241-258.10. Duchemin, B., Hagolle O., Mougenot B., Simonneaux V., Benhadj I., Hadria R., Ezzahar J., Hoedjes J.,Khabba S.,. Kharrou M.H, Boulet G., Dedieu G., Er-Raki S., Escadafal R., Olioso A., ChehbouniA.G.. Agrometerological study of semi-arid areas: an experiment for analysing the potential ofFORMOSAT-2 time series of images in the Tensift-Marrakech plain. International Journal of Remotesensing (accepté).11. Ezzahar J., Chehbouni A., Hoedjes J.C.B., Er-Raki S., Duchemin B. and Ah. Chehbouni. The use ofthe Scintillation Technique for estimating evapotranspiration ET over several agricultural fields insemi-arid region. Plant Biosystems (Soumis).12. 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 of Remotely Sensed data for Integrated Hydrological Modeling in Aridand Semi-Arid Regions: the SUDMED Program. International Journal of Remote sensing (accepté).Communications dans des colloques nationaux et internationaux1. Er-Raki, S., Guemouria, N., Chehbouni, G., Fachtali, B., Ezzahar, J., Hadria, R. and Chehbouni, A.Measurement and modelling evapotranspiration of irrigated citrus orchard under drip and floodirrigations. 3rd International Conference on Water Resources in Mediterranean basin: WATMED 3",Lebanon, Tripoli, 1-3 November 2006.2. Er-Raki, S., Chehbouni, G., Guemouria, N., Duchemin, B., Ezzahar, J., Hadria, R. and BenHadj, I.,2006, Driven FAO-56 dual crop coefficient approach with remotely-sensed data for estimating waterconsumptions of wheat crops in a semi-arid region. Second Recent Advances in Quantitative RemoteSensing, Ed. José A. Sobrino, Servicio de Publicaciones, Universitat de Valencia, Valencia, 2006, pp.431-636.v
- Page 2 and 3: A mes chers ParentsA mes frères et
- Page 6 and 7: 3. Er-Raki, S., Chehbouni, G., Guem
- Page 8 and 9: ont donné l’accès de faire les
- Page 10 and 11: évaporation du sol (30% de l’irr
- Page 12 and 13: which it was estimated spatially by
- Page 14 and 15: SommaireRESUME.....................
- Page 16 and 17: Figure 3. 9. Coefficient du stress
- Page 18: Comme grand nombre de pays à trave
- Page 21: CHAPITRE 1 : BESOINS EN EAU DESCULT
- Page 24 and 25: 1.3 La culture de l’olivierImport
- Page 27 and 28: Tenant compte de l’importance éc
- Page 29 and 30: Où ET représente l’évapotransp
- Page 31 and 32: LandSat 4 …, basse résolution NO
- Page 33 and 34: principalement sur des relations en
- Page 35 and 36: Dans ce chapitre, nous allons prés
- Page 37 and 38: Figure 2. 1. Trois types d’évapo
- Page 39 and 40: couvert foliaire, et (4) la phase d
- Page 41 and 42: Avec :K c max : Valeur maximale de
- Page 43 and 44: Si on utilise l’approche à coeff
- Page 46 and 47: 2.3.1 Présentation de la région d
- Page 48: généralement de zone Bour. L’ab
- Page 54 and 55:
Table 2. 1. Les différents paramè
- Page 56 and 57:
En plus des mesures météorologiqu
- Page 58 and 59:
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 and 110:
Barret, DJ., Hatton, TJ., Ash, JE.,
- Page 111 and 112:
Chehbouni, A., D.C. Goodrich, M.S.
- 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)