S. Baillarin, J. P. Gleyzes, C. Latry, A. Bouillon, E. Breton et al., M: Validation of an automatic image orthorectification processing, IGARSS's Proceedings, vol.2, pp.1398-1401, 2004.

F. Baret and M. Guerif, Remote detection and quantification of plant stress: opportunities remote sensing observations, Comparative Biochemistry and Physiology a-Molecular & Integrative Physiology, vol.143, pp.148-148, 2006.

F. Baret, O. Hagolle, B. Geiger, P. Bicheron, B. Miras et al., LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION -Part 1: Principles of the algorithm, Remote Sens. Environ, vol.110, pp.275-286, 2007.
URL : https://hal.archives-ouvertes.fr/ird-00397417

P. D. Barrett, A. S. Laidlaw, and C. S. Mayne, GrazeGro: a European herbage growth model to predict pasture production in perennial ryegrass swards for decision support, Eur. J. Agronomy, vol.23, pp.37-56, 2005.

J. E. Bergez, J. M. Deumier, B. Lacroix, P. Leroy, and D. Wallach, Improving irrigation schedules by using a biophysical and a decisional model, Eur. J. Agronomy, vol.16, pp.123-135, 2002.
URL : https://hal.archives-ouvertes.fr/hal-02669336

N. Brisson, B. Mary, D. Ripoche, M. H. Jeuffroy, F. Ruget et al., STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parameterization applied to wheat and corn, vol.18, pp.311-346, 1998.
URL : https://hal.archives-ouvertes.fr/hal-00885888

N. Brisson, C. Gary, E. Justes, R. Roche, B. Mary et al., An overview of the crop model STICS, Eur. J. Agronomy, vol.18, pp.309-332, 2003.
URL : https://hal.archives-ouvertes.fr/hal-01190851

A. Bsaibes, D. Courault, F. Baret, M. Weiss, A. Olioso et al., Albedo and LAI estimates from FORMOSAT-2 data for crop monitoring, Remote Sens. Environ, vol.113, pp.716-729, 2009.
URL : https://hal.archives-ouvertes.fr/hal-02666766

J. S. Chern, M. Wua, and L. , S: Lesson learned from FORMOSAT-2 mission operations, Acta Astronautica, vol.59, pp.344-350, 2006.

B. Combal, F. Baret, M. Weiss, A. Trubuil, D. Mace et al., Retrieval of canopy biophysical variables from bidirectional reflectance -Using prior information to solve the ill-posed inverse problem, Remote Sens. Environ, vol.84, pp.1-15, 2003.
URL : https://hal.archives-ouvertes.fr/hal-02680035

D. Courault, A. Bsaibes, E. Kpemlie, R. Hadria, O. Hagolle et al., Assessing the potentialities of FORMOSAT-2 data for water and crop monitoring at small regional scale in South-Eastern France, Sensors, vol.8, pp.3460-3481, 2008.
URL : https://hal.archives-ouvertes.fr/ird-00392685

G. Dedieu, A. Karnieli, O. Hagolle, H. Jeanjean, F. Cabot et al., VENuS: A joint French -Israel Earth Observation scientific mission with High spatial and temporal resolution capabilities, Second Recent Advances in Quantitative Remote Sensing. Publicacions de la Universitat de València, pp.517-521, 2006.

D. Bella, C. Faivre, R. Ruget, F. Seguin, B. Guerif et al., Remote sensing capabilities to estimate pasture production in France, Int. J. Remote Sens, vol.25, pp.5359-5372, 2004.
URL : https://hal.archives-ouvertes.fr/hal-02679487

D. Bella, C. Faivre, R. Ruget, F. Seguin, and B. , Using VEGETA-TION satellite data and the crop model STICS-Prairie to estimate pasture production at the national level in France, Phys. Chem. Earth, vol.30, pp.3-9, 2005.

B. Duchemin, R. Hadria, S. Erraki, G. Boulet, P. Maisongrande et al., Monitoring wheat phenology and irrigation in Central Morocco: On the use of relationships between evapotranspiration, crops coefficients, leaf area index and remotely-sensed vegetation indices, Agric. Water Manage, vol.79, pp.1-27, 2006.

M. Duru, M. Adam, P. Cruz, G. Martin, P. Ansquer et al., Modelling above-ground herbage mass for a wide range of grassland community types, Ecol. Model, vol.220, pp.209-225, 2009.
URL : https://hal.archives-ouvertes.fr/hal-02661550

J. P. Evans, 21st century climate change in the Middle East, Climatic Change, vol.92, pp.417-432, 2009.

M. Guerif, V. Houles, and F. Baret, Remote sensing and detection of nitrogen status in crops. Application to precise nitrogen fertilization, 4th International Symposium on Intelligent Information Technology in Agriculture, pp.593-601, 2007.

R. Hadria, B. Duchemin, A. Lahrouni, S. Khabba, S. Er-raki et al., Monitoring of irrigated wheat in a semi-arid climate using crop modelling and remote sensing data: Impact of satellite revisit time frequency, Int. J. Remote Sens, vol.27, pp.1093-1117, 2006.
URL : https://hal.archives-ouvertes.fr/ird-00389480

O. Hagolle, G. Dedieu, B. Mougenot, V. Debaecker, B. Duchemin et al., Correction of aerosol effects on multitemporal images acquired with constant viewing angles: Application to Formosat-2 images, Remote Sens. Environ, vol.112, pp.1689-1701, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00265400

A. Huete, K. Didan, T. Miura, E. P. Rodriguez, X. Gao et al., Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sens. Environ, vol.83, pp.195-213, 2002.

F. Jacob, T. Schmugge, A. Olioso, A. French, D. Courault et al., Modeling and inversion in thermal infrared remote sensing over vegetated land surfaces, 9th International Symposium on Physical Measurements and Signatures in Remote Sensing, pp.245-291, 2005.
URL : https://hal.archives-ouvertes.fr/hal-01189302

J. W. Jones, G. Hoogenboom, C. H. Porter, K. J. Boote, W. D. Batchelor et al., The DSSAT cropping system model, Eur. J. Agronomy, vol.18, pp.235-265, 2003.

R. E. Jongschaap, Run-time calibration of simulation models by integrating remote sensing estimates of leaf area index and canopy nitrogen, Eur. J. Agronomy, vol.24, pp.316-324, 2006.

M. Launay and M. Guerif, Assimilating remote sensing data into a crop model to improve predictive performance for spatial applications, Agr. Ecosyst. Environ, vol.111, pp.321-339, 2005.

M. Launay, N. Brisson, S. Satger, H. Hauggaard-nielsen, G. Corre-hellou et al., Exploring options for managing strategies for pea-barley intercropping using a modeling approach, Eur. J. Agronomy, vol.31, pp.85-98, 2009.
URL : https://hal.archives-ouvertes.fr/hal-02665735

J. C. Mailhol and A. Merot, SPFC: a tool to improve water management and hay production in the Crau region, Irrig. Sci, vol.26, pp.289-302, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00453853

P. Martimort, M. Berger, B. Carnicero, U. Bello, V. Fernandez et al., B : Sentinel-2 -the optical high-resolution mission for GMES operational services, ESA Bulletin, vol.131, pp.18-23, 2007.

A. Merot, J. E. Bergez, A. Capillon, and J. Wery, Analysing farming practices to develop a numerical, operational model of farmers' decision-making processes: An irrigated hay cropping system in France, Agric. Syst, vol.98, pp.108-118, 2008.

A. Merot, J. Wery, C. Isberie, and F. Charron, Response of a plurispecific permanent grassland to border irrigation regulated by tensiometers, Eur. J. Agronomy, vol.28, pp.8-18, 2008.
URL : https://hal.archives-ouvertes.fr/hal-02660442

D. Courault, Grassland monitoring from FORMOSAT-2

A. Olioso, Y. Inoue, S. Ortega-farias, J. Demarty, J. P. Wigneron et al., Future directions for advanced evapotranspiration modeling: assimilation of remote sensing data into crop simulation models and SVAT models, Irrig. Drainage Syst, vol.19, pp.377-412, 2005.
URL : https://hal.archives-ouvertes.fr/hal-02677415

T. Pogacar and L. Kajfez-bogataj, WOFOST: crop growth simulation model -1st part, Acta Agriculturae Slovenica, vol.93, pp.231-243, 2009.

F. Ruget, F. Levrault, X. Tayot, D. Ripoche, and S. Ngueye, Estimation of the water requirements of maize crops: regional or plot application, Vers une maitrise des impacts environnementaux de l'irrigation, Actes de l'atelier du PCSI, vol.32, p.10, 2002.

F. Ruget, S. Novak, S. Granger, F. Ruget, A. Abdessemed et al., Impact of global climate change scenarios on alfalfa production in France, Biodiversity and animal feed: future challenges for grassland production, Proceedings of the 22nd General Meeting of the European Grassland Federation, vol.186, pp.745-747, 2006.

F. Ruget, S. Satger, F. Volaire, and F. Lelievre, Modeling Tiller Density, Growth, and Yield of Mediterranean Perennial Grasslands with STICS, Crop Science, vol.49, pp.2379-2385, 2009.
URL : https://hal.archives-ouvertes.fr/hal-02657432

A. H. Schapendonk, W. Stol, D. W. Van-kraalingen, and B. A. Bouman, LINGRA, a sink/source model to simulate grassland productivity in Europe, Eur. J. Agronomy, vol.9, pp.87-100, 1998.

F. Todisco and L. Vergni, Climatic changes in Central Italy and their potential effects on corn water consumption, Agr. Forest Meteorol, vol.148, pp.1-11, 2008.

H. Varella, M. Guerif, and S. Buis, Global sensitivity analysis measures the quality of parameter estimation: The case of soil parameters and a crop model, Environ. Modell. Softw, vol.25, pp.310-319, 2010.
URL : https://hal.archives-ouvertes.fr/hal-02658934

M. Weiss, F. Baret, M. Leroy, O. Hautecoeur, C. Bacour et al., Validation of neural net techniques to estimate canopy biophysical variables from remote sensing data, Agronomie, vol.22, pp.547-553, 2002.
URL : https://hal.archives-ouvertes.fr/hal-02677286

M. Weiss, F. Baret, G. J. Smith, I. Jonckheere, and P. Coppin, Review of methods for in situ leaf area index (LAI) determination Part II. Estimation of LAI, errors and sampling, Agr. Forest Meteorol, vol.121, pp.37-53, 2004.

J. P. Wigneron, J. C. Calvet, A. Olioso, A. Chanzy, and P. Bertuzzi, Estimating the root-zone soil moisture from the combined use of time series of surface soil moisture and SVAT modelling, Phys. Chem. Earth B, vol.24, pp.837-843, 1999.
URL : https://hal.archives-ouvertes.fr/hal-02697688