Monitoring of irrigated wheat in a semi‐arid climate using crop modelling and remote sensing data: Impact of satellite revisit time frequency

References

• Allen , R. G. , Pereira , L. S. , Raes , D. and Smith , M. 1998 . Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements , 1 – 300 . Rome : FAO Irrigation and Drainage, Paper 56 .
   Google Scholar
• Allen , R. G. 2000 . Using the FAO‐56 dual crop coefficient method over an irrigated region as part of an evapotranspiration intercomparison study. . Journal of Hydrology , 229 : 27 – 41 .
   Web of Science ®Google Scholar
• Arkin , G. F. , Maas , S. J. and Richardson , C. W. 1980 . Forecasting grain sorghum yields using simulated weather data and updating techniques. . Transactions of the ASAE , 23 : 676 – 680 .
   Google Scholar
• Asner , P. A. , Braswell , B. H. , Schimel , D. S. and Wessman , C. A. 1998 . Ecological research needs from multi‐angle remote sensing data. . Remote Sensing of Environment , 63 : 155 – 165 .
   Web of Science ®Google Scholar
• Asrar , G. , Fuchs , M. , Manemasu , E. T. and Hatfield , J. L. 1984 . Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. . Agronomy Journal , 76 : 300 – 306 .
   Web of Science ®Google Scholar
• Bannayan , M. , Crout , N. M. J. and Hoogenboom , G. 2003 . Application of the CERES‐wheat model for within‐season prediction of winter wheat yield in the United Kingdom. . Agronomy Journal , 95 : 114 – 125 .
   Web of Science ®Google Scholar
• Baret , F. , Guyot , G. and Major , D. J. 1989 . Crop biomass evaluation using radiometric measurements. . Photogrammetria , 43 : 241 – 256 .
   Google Scholar
• Baret , F. and Guyot , G. 1991 . Potentials and limits of vegetation indices for LAI and APAR assessment. . Remote Sensing of Environment , 35 : 161 – 173 .
   Web of Science ®Google Scholar
• Baret , F. , Weiss , M. and Troufleau , D. 2002 . “ Assimilation of multi temporal–spectral–directional reflectance data in a NPP model: a case study and comparison of sampling schemes for different sensors. ” . Final Report, European Space Agency
   Google Scholar
• Ben Nouna , B. , Katerji , N. and Mastrorilli , M. 2000 . Using the CERES‐Maize model in a semi arid Mediterranean environment. Evaluation of model performance. . European Journal of Agronomy , 13 : 309 – 322 .
   Web of Science ®Google Scholar
• Boegh , E. , Thorsen , M. , Butts , M. B. , Hansena , S. , Christiansen , J. S. , Abrahamsen , P. , Hassger , C. B. , Jensen , N. O. , van der Keur , P. , Refsgaard , J. C. , Schelde , K. , Soegaard , H. and Thomsen , A. 2004 . Incorporating remote sensing data in physically based distributed agro‐hydrological modelling. . Journal of Hydrology , 287 : 279 – 299 .
   Web of Science ®Google Scholar
• Brisson , N. , Mary , B. , Ripoche , D. , Jeuffery , M. H. , Ruget , F. , Nicoullaud , B. , Gate , P. , Devienne‐Baret , F. , Antonioletti , R. , Durr , C. , Richard , G. , Beaudoin , N. , Recous , S. , Tayot , X. , Plenet , D. , Cellier , P. , Machet , J. M. , Meynard , J. M. and Delécolle , R. 1998 . STICS: A generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parametrization applied to wheat and corn. . Agronomie , 18 : 311 – 346 .
   Google Scholar
• Brisson , N. , Ruget , F. , Gate , F. , Lorgeou , J. , Nicoullard , B. , Tayot , X. , Plenet , D. , Jeuffroy , M. ‐H. , Brouthier , A. , Ripoche , D. , May , B. and Justed , E. 2002 . STICS: A generic model for the simulation of crops and their water and nitrogen balances. II. Model validation for wheat and maize. . Agronomie , 22 : 69 – 92 .
   Google Scholar
• Brisson , N. , Gary , C. , Justes , E. , Roche , R. , Mary , B. , Ripoche , D. , Zimmer , D. , Sierra , J. , Bertuzzi , P. , Burger , P. , Bussiere , F. , Cabidoche , Y. M. , Cellier , P. , Debaeke , P. , Gaudillere , J. P. , Hénault , C. , Maraux , F. , Seguin , B. and Sinoquet , H. 2003 . An overview of the crop model STICS. . European Journal of Agronomy , 18 : 309 – 332 .
   Web of Science ®Google Scholar
• Chehbouni , A. , Escadafal , R. , Dedieu , G. , Errouane , S. , Boulet , G. , Duchemin , B. , Mougenot , B. , Simonneaux , V. , Seghieri , J. and Timouk , F. 2003 . “ A multidisciplinary program for assessing the sustainability of water resources in semi‐arid basin in Morocco: SUDMED. ” . In EGS–AGU–EUG Joint Assembly 6–11 April 2003, Nice, France
   Google Scholar
• Chern , J. ‐S. , Lee , L. ‐C. , Wang , H. ‐C. and Chu , F. ‐H. 2001 . “ An Introduction to NSPO and ROCSATs Missions. ” . In 3rd IAA Symposium on Small Satellites for Earth Observation 2–6 April 2001, Berlin, Germany
   Google Scholar
• Clevers , J. G. P. W. , Vonder , O. W. , Jongschaap , R. E. E. , Desprats , J. ‐F. , King , C. , Prevot , L. and Bruguier , N. 2002 . Using SPOT data for calibrating a wheat growth model under Mediterranean conditions. . Agronomie , 22 : 687 – 694 .
   Google Scholar
• Combal , B. , Baret , F. , Weiss , M. , Trubuil , A. , Macé , D. , Pragnere , A. , Myneni , R. , Knyazikhin , Y. and Wang , L. 2003 . Retrieval of canopy biophysical variables from bidirectional reflectance: Using prior information to solve the ill‐posed inverse problem. . Remote Sensing of Environment , 84 : 1 – 15 .
   Web of Science ®Google Scholar
• Dedieu , G. , Cabot , F. , Chehbouni , A. , Duchemin , B. , Maisongrande , P. , Boulet , G. and Pellenq , J. 2003 . “ RHEA: A micro‐satellite mission for the study and modelling of land surfaces through assimilation techniques. ” . In EGS–AGU–EUG Joint Assembly 6–11 April 2003, Nice, France
   Google Scholar
• Demarty , J. , Ottle , C. , Braud , I. , Olioso , A. , Frangi , J. P. , Bastidas , L. A. and Gupta , H. V. 2004 . Using a multi‐objective approach to retrieve information on surface properties used in a SVAT model. . Journal of Hydrology , 287 : 214 – 236 .
   Web of Science ®Google Scholar
• Duchemin , B. and Maisongrande , P. 2002 . Normalization of directional effects in 10–day global syntheses derived from VEGETATION/SPOT: I. Investigation of concepts based on simulation. . Remote Sensing of Environment , 21 : 90 – 100 .
   Web of Science ®Google Scholar
• Duchemin , B. , Hadria , R. , Rodriguez , J. ‐C. , Lahrouni , A. , Khabba , S. , Boulet , G. , Mougenot , B. , Maisongrande , P. and Watts , C. 2003 . “ Spatialization of a crop model using phenology derived from remote sensing data. ” . In 23rd International Geoscience and Remote Sensing Symposium (IGARSS) 21–25 July 2003, Toulouse, France
   Google Scholar
• Duchemin , B. , Hadria , R. , Er‐Raki , S. , Boulet , G. , Maisongrande , P. , Chehbouni , A. , Escadafal , R. , Ezzahar , J. , Hoedjes , J. , Karroui , H. , Khabba , S. , Mougenot , B. , Olioso , A. , Rodriguez , J. ‐C. , Simonneaux , V. and Timouk , F. 2006 . Monitoring wheat phenology and irrigation in Center of Morocco : on the use of relationship between evapotranspiration, crops coefficients, leaf area index and remotely–sensed vegetation indices. . Agricultural and Water Management , 79 : 1 – 27 .
   Web of Science ®Google Scholar
• FranÇois , C. , Cayrol , P. , Kergoat , L. , Moulin , S. and Dedieu , G. 2001 . “ Assimilation techniques of remote sensing measurements into vegetation models: Overview, limits and promises. ” . In 8th Symposium on Physical Measurements and Signatures in Remote Sensing of International Society for Photogrammetry and Remote Sensing (ISPRS) 8–12 January 2001, Aussois, France
   Google Scholar
• Guérif , M. and Duke , C. 1998 . Calibration of the SUCROS emergence and early growth module for sugar beet using optical remote sensing data assimilation. . European Journal of Agronomy , 9 : 127 – 136 .
   Web of Science ®Google Scholar
• Guérif , M. and Duke , C. 2000 . Adjustment procedures of a crop model to the site specific characteristics of soil and crop using remote sensing data assimilation. . Agriculture, Ecosystems and Environment , 81 : 57 – 69 .
   Web of Science ®Google Scholar
• Gutman , G. and Ignatov , A. 1995 . Global land monitoring from AVHRR: Potential and limitations. . International Journal of Remote Sensing , 16 : 2301 – 2309 .
   Web of Science ®Google Scholar
• Hadria , R. , Khabba , S. , Lahrouni , A. , Duchemin , B. , Chehbouni , A. G. , Ouzine , L. and Carriou , J. 2005 . “ Calibration and validation of the STICS crop model for managing wheat irrigation in the semi‐arid marrakech/Al Haouz Plain. The Arabian Journal for Science and Engineering. ” . Special issue ‘Potential Water Challenges and Solutions in the New Millennium in Arid Regions’, 30
   Google Scholar
• Hall , F. G. , Townshend , J. R. and Engmann , E. T. 1995 . Status of remote sensing algorithms for estimation of land surface parameters. . Remote Sensing of Environment , 51 : 138 – 156 .
   Web of Science ®Google Scholar
• Hammer , G. L. and Wright , G. C. 1994 . A theoretical analysis of nitrogen and radiation effects on radiation use efficiency in peanut. . Australian Journal of Agriculture Research , 45 : 575 – 589 .
   Google Scholar
• Hansen , S. , Jensen , H. E. , Nielsen , N. E. and Swenden , H. 1990 . DAISY: Soil Plant Atmosphere System Model , 1 – 272 . Copenhagen : The National Agency for Environmental Protection .
   Google Scholar
• Harris , T. R. and Mapp , H. P. Jr. 1980 . A control theory approach to optimum irrigation scheduling in the Oklahoma Panhandle. . South Journal of Agricultural Economics , 12 : 165 – 171 .
   Google Scholar
• Jacquemoud , S. , Bacour , C. , Poilvé , H. and Frangi , J. ‐P. 2000 . Comparison of four radiative transfer models to simulate plant canopies reflectance: Direct and inverse mode. . Remote Sensing of Environment , 74 : 471 – 481 .
   Web of Science ®Google Scholar
• Jamieson , P. D. , Porter , J. R. , Goudriaan , J. , Ritchie , J. T. , van Keulen , H. and Stoll , W. 1998a . A comparison of the models AFRCWHEAT2, CERES‐Wheat, Sirius, SUCROS2 and SWHEAT with measurements from wheat grown under drought. . Field Crops Research , 55 : 23 – 44 .
   Web of Science ®Google Scholar
• Jamieson , P. D. , Semenov , M. A. , Brooking , I. R. and Francis , G. S. 1998b . Sirius: A mechanistic model of wheat response to environmental variation. . European Journal of Agronomy , 8 : 161 – 179 .
   Web of Science ®Google Scholar
• Karrou , M. 2003 . Conduite du blé au Maroc. Institut National de la recherche agronomique , 1 – 57 . Rabat : INRA editions .
   Google Scholar
• Kimes , D. S. , Knyazikhin , Y. , Privette , J. L. , Abuelgasim , A. A. and Gao , F. 2000 . Inversion methods for physically based models. . Remote Sensing Reviews , 18 : 381 – 439 .
   Google Scholar
• Kite , G. W. and Droogers , P. 2000 . Comparing evapotranspiration estimates from satellites, hydrological models and field data. . Journal of Hydrology , 209 : 3 – 18 .
   Web of Science ®Google Scholar
• Maas , J. S. 1993 . Parameterized model of gramineous crop growth: I. Leaf area and dry mass simulation. . Agronomy Journal , 85 : 348 – 353 .
   Web of Science ®Google Scholar
• Mo , X. , Liu , S. , Lin , Z. and Zhao , W. 2004 . Simulating temporal and spatial variation of evapotranspiration over the Lushi basin. . Journal of Hydrology , 285 : 125 – 142 .
   Web of Science ®Google Scholar
• Monteith , J. L. 1965 . “ Evaporation and environment. ” . In 19th Symposia of the Society for Experimental Biology , 205 – 234 . Cambridge : Cambridge University Press . In
   Google Scholar
• Moulin , S. , Bondeau , A. and Delécolle , R. 1998 . Combining agricultural crop models and satellite observations from field to regional scales. . International Journal of Remote Sensing , 19 : 1021 – 1036 .
   Web of Science ®Google Scholar
• Moulin , S. and Guérif , M. 1999 . Impact of model parameter uncertainties on crop reflectance estimates: a regional case study on wheat. . International Journal of Remote Sensing , 20 : 213 – 218 .
   Web of Science ®Google Scholar
• Moulin , S. , Kergoat , L. , Cayrol , P. , Dedieu , G. and Prévot , L. 2002 . Calibration of a coupled canopy functioning and SVAT model in the ReSeDA experiment. Towards the assimilation of SPOT/HRV observations into the model. . Agronomie , 22 : 681 – 686 .
   Google Scholar
• Nelder , J. A. and Mead , R. 1965 . A simplex method for function minimization. . Computer Journal , 7 : 308 – 313 .
   Web of Science ®Google Scholar
• Olioso , A. , Chauki , H. , Courault , D. and Wigneron , J. P. 1999 . Estimation of evapotranspiration and photosynthesis by assimilation of remote sensing data into SVAT models. . Remote Sensing of Environment , 68 : 341 – 356 .
   Web of Science ®Google Scholar
• Panda , R. K. , Behera , S. K. and Kashyap , P. S. 2003 . Effective management of irrigation water for wheat under stressed conditions. . Agricultural and water management , 63 : 37 – 56 .
   Web of Science ®Google Scholar
• Pellenq , J. and Boulet , G. 2004 . A methodology to test the pertinence of remote‐sensing data assimilation into vegetation models for water and energy exchange at the land surface. . Agronomie , 24 : 197 – 204 .
   Google Scholar
• Prévot , L. , Chauki , H. , Troufleau , D. , Weiss , M. , Baret , F. and Brisson , N. 2003 . Assimilating optical and radar data into STICS crop model for wheat. . Agronomie , 23 : 297 – 303 .
   Google Scholar
• Richardson , A. J. , Wiegand , C. L. , Wanjura , D. F. , Dusek , D. and Steiner , J. L. 1992 . Multisite analyses of spectral‐biophysical data for sorghum. . Remote Sensing of Environment , 41 : 71 – 82 .
   Web of Science ®Google Scholar
• Ritchie , J. T. and Otter , S. 1985 . Description and performance of CERES‐wheat: A user‐oriented wheat yield model. . US Department of Agriculture ARS , 38 : 159 – 175 .
   Google Scholar
• Rodriguez , J. C. , Duchemin , B. , Hadria , R. , Watts , C. , Khabba , S. , Boulet , G. , Garatuza , J. , Chehbouni , A. , Lahrouni , A. and Palacios , E. 2004 . Wheat yield estimation using remote sensing and the STICS model in the semi–arid valley of Yaqui, Mexico. . Agronomie , 24 : 295 – 304 .
   Google Scholar
• Ruget , F. , Brisson , N. , Delecolle , R. and Faivre , R. 2002 . Sensitivity analysis of a crop simulation model, STICS, in order to choose the main parameters to be estimated. . Agronomie , 22 : 133 – 158 .
   Google Scholar
• Schmugge , T. J. , Kustas , W. P. , Ritchie , J. C. , Jackson , T. J. and Rango , A. 2002 . Remote sensing in hydrology. . Advances in Water Resources , 25 : 1367 – 1385 .
   Web of Science ®Google Scholar
• Sinclair , T. R. and Muchow , R. C. 1999 . Radiation use efficiency. . Advances in Agronomy , 35 : 215 – 265 .
   Web of Science ®Google Scholar
• Verhoef , W. and Bach , H. 2003 . Remote sensing data assimilation using coupled radiative transfer models. . Physics and Chemistry of the Earth , 28 : 3 – 13 .
   Web of Science ®Google Scholar
• Weir , A. H. , Bragg , P. I. , Porter , J. R. and Rayner , J. H. 1984 . A winter wheat crop simulation model without water or nutrient limitations. . Journal of Agricultural Science , 102 : 371 – 382 .
   Web of Science ®Google Scholar
• Weiss , M. and Baret , F. 1999 . Evaluation of canopy biophysical variable retrieval performances from the accumulation of large swath satellite data. . Remote Sensing of Environment , 70 : 293 – 306 .
   Web of Science ®Google Scholar
• Weiss , M. , Troufleau , D. , Baret , F. , Chauki , H. , Prevot , L. , Olioso , A. , Bruguier , N. and Brisson , N. 2001 . Coupling canopy functioning and radiative transfer models for remote sensing data assimilation. . Agricultural and Forest Meteorology , 108 : 113 – 128 .
   Web of Science ®Google Scholar
• Williams , J. R. , Jones , C. A. , Kiniry , J. R. and Spanel , D. A. 1989 . The EPIC crop growth model. . Transactions of the ASAE , 32 : 497 – 511 .
   Google Scholar
• Zhang , Y. Q. , Yu , Q. , Liu , C. M. , Jiang , J. and Zhang , X. 2004 . Estimate of winter wheat evapotranspiration under water stress with two semi‐empirical approaches. . Agronomy Journal , 96 : 159 – 168 .
   Web of Science ®Google Scholar