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
Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56, p.pp, 1998. ,
Maize Root Biomass and Net Rhizodeposited Carbon, Soil Science Society of America Journal, vol.70, issue.5, 2006. ,
DOI : 10.2136/sssaj2005.0216
Temperature affects radiation use efficiency in maize, Field Crops Research, vol.32, issue.1-2, pp.17-25, 1993. ,
DOI : 10.1016/0378-4290(93)90018-I
Radiation use efficiency of maize grown in a cool area, Field Crops Research, vol.28, issue.4, pp.345-354, 1992. ,
DOI : 10.1016/0378-4290(92)90020-A
Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1, Agronomy Journal, vol.76, issue.2, 1984. ,
DOI : 10.2134/agronj1984.00021962007600020029x
Eddy Covariance: A Practical Guide to Measurement and Data Analysis, 2012. ,
DOI : 10.1007/978-94-007-2351-1
Automatic Registration of Optical Images, a Stake for Future Missions: Application to Ortho-Rectification, Time Series and Mosaic Products, IGARSS 2008, 2008 IEEE International Geoscience and Remote Sensing Symposium, pp.928-931, 2008. ,
DOI : 10.1109/IGARSS.2008.4779194
Guide pour la description des sols, 1995. ,
URL : https://hal.archives-ouvertes.fr/hal-01195043
Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future, Global Change Biology, vol.104, issue.3, pp.479-492, 2003. ,
DOI : 10.1029/2000JD900080
Estimation des variables biophysiques à partir de l'imagerie satellitaire, in: Observation Des Surfaces Continentales Par Télédétection: Agriculture et Forêt, Télédétection Pour L'observation Des Surfaces Continentales, 2016. ,
GAI estimates of row crops from downward looking digital photos taken perpendicular to rows at 57.5?? zenith angle: Theoretical considerations based on 3D architecture models and application to wheat crops, Agricultural and Forest Meteorology, vol.150, issue.11, pp.1393-1401, 2010. ,
DOI : 10.1016/j.agrformet.2010.04.011
LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION, Remote Sensing of Environment, vol.110, issue.3, pp.275-286, 2007. ,
DOI : 10.1016/j.rse.2007.02.018
URL : https://hal.archives-ouvertes.fr/ird-00397417
Modeled analysis of the biophysical nature of spectral shifts and comparison with information content of broad bands. Remote Sensing of Environment 41 Potentials and limits of vegetation indices for LAI and APAR assessment, Remote Sensing of Environment, vol.35, issue.91, pp.133-142, 1991. ,
Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity, Hydrology and Earth System Sciences, vol.14, issue.2, pp.251-270, 2010. ,
DOI : 10.5194/hess-14-251-2010
A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan, Agriculture, Ecosystems & Environment, vol.94, issue.3, pp.321-340, 2003. ,
DOI : 10.1016/S0167-8809(02)00034-8
Remote sensing for irrigated agriculture: examples from research and possible applications, Agricultural Water Management, vol.46, issue.2, pp.137-155, 2000. ,
DOI : 10.1016/S0378-3774(00)00080-9
(submitted). Modeling water needs and supplies of irrigated maize in the south west of France using high spatial and temporal resolution satellite imagery, p.2017 ,
Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data, Remote Sensing of Environment, vol.184, pp.668-681, 2016. ,
DOI : 10.1016/j.rse.2016.07.030
Estimation of soybean yield from assimilated optical and radar data into a simplified agrometeorological model, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.3961-3964, 2015. ,
DOI : 10.1109/IGARSS.2015.7326692
Soil background effects on reflectance-based crop coefficients for corn Crop Coefficients Derived from Reflected Canopy Radiation: A Concept, Remote Sensing of Environment Transactions of the ASAE, vol.4693, issue.30, pp.213-222, 1987. ,
DOI : 10.1016/0034-4257(93)90096-g
Télédétection et production végétale (Mémoire d'HDR) Université Pierre et Marie Curie -Ecole Doctorale des Sciences de l'Environnement d, 2002. ,
Observation spatiale de l'irrigation d'agrosystèmes semi-arides et Gestion durable de la ressource en eau en plaine de Marrakech, Thèse). Université Paul Sabatier -Toulouse III, 2008. ,
Retrieval of biophysical vegetation parameters using simultaneous inversion of high resolution remote sensing imagery constrained by a vegetation index, Precision Agriculture, vol.63, issue.5, pp.541-557, 2013. ,
DOI : 10.1109/36.934080
Assimilation of LAI and Dry Biomass Data From Optical and SAR Images Into an Agro-Meteorological Model to Estimate Soybean Yield, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.9, issue.6, pp.2540-2553, 2016. ,
DOI : 10.1109/JSTARS.2016.2541169
URL : https://hal.archives-ouvertes.fr/hal-01334824
Carbon balance of a three crop succession over two cropland sites in South West France, Agricultural and Forest Meteorology, vol.149, issue.10, 2009. ,
DOI : 10.1016/j.agrformet.2009.05.004
Apport de la télédétection à hautes résolutions spatiale et temporelle pour la détection des surfaces irriguées sur le bassin versant de la Neste, 2015. ,
Potential Uses and Limitations of Crop Models A simple water and energy balance model designed for regionalization and remote sensing data utilization, Agronomy Journal Agricultural and Forest Meteorology, vol.88, issue.10500, pp.704-716, 1996. ,
A simple soilplant-atmosphere transfer model (SiSPAT) development and field verification, Journal of Hydrology, vol.16694, pp.213-250, 1995. ,
DOI : 10.1016/0022-1694(94)05085-c
Changement climatique, agriculture et forêt en France : simulations d'impacts sur les principales espèces, 2010. ,
An overview of the crop model stics, Modelling Cropping Systems: Science, Software and Applications, pp.309-332, 2003. ,
DOI : 10.1016/S1161-0301(02)00110-7
URL : https://hal.archives-ouvertes.fr/hal-01190851
Use of class pedotransfer functions based on texture and bulk density of clods to generate water retention curves, Soil Use and Management, vol.148, issue.3, 2003. ,
DOI : 10.1016/S0022-1694(01)00464-4
URL : https://hal.archives-ouvertes.fr/hal-00069364
Albedo and LAI estimates from FORMOSAT-2 data for crop monitoring, Remote Sensing of Environment, vol.113, issue.4, pp.716-729, 2009. ,
DOI : 10.1016/j.rse.2008.11.014
An improved heat pulse method to measure low and reverse rates of sap flow in woody plants, Tree Physiology, vol.21, issue.9, pp.589-598, 2001. ,
DOI : 10.1093/treephys/21.9.589
URL : https://academic.oup.com/treephys/article-pdf/21/9/589/4808396/21-9-589.pdf
SUNFLO, a model to simulate genotype-specific performance of the sunflower crop in contrasting environments, Agricultural and Forest Meteorology, vol.151, issue.2, pp.163-178, 2011. ,
DOI : 10.1016/j.agrformet.2010.09.012
URL : https://hal.archives-ouvertes.fr/hal-01506231
Simulation of Maize Yield under Water Stress with the EPICphase and CROPWAT Models, Agronomy Journal, vol.92, issue.4, pp.679-690, 2000. ,
DOI : 10.2134/agronj2000.924679x
URL : https://dl.sciencesocieties.org/publications/aj/pdfs/92/4/679
Defining leaf area index for non-flat leaves, Plant, Cell and Environment, vol.7, issue.4, pp.421-429, 1992. ,
DOI : 10.1093/treephys/7.1-2-3-4.135
Lesson learned from FORMOSAT-2 mission operations, Acta Astronautica, vol.59, issue.1-5, 2006. ,
DOI : 10.1016/j.actaastro.2006.02.008
Relations between evaporation coefficients and vegetation indices studied by model simulations, Remote Sensing of Environment, vol.50, issue.1, pp.1-17, 1994. ,
DOI : 10.1016/0034-4257(94)90090-6
Validation of coarse spatial resolution LAI and FAPAR time series over cropland in southwest France, Remote Sensing of Environment, vol.139, pp.216-230, 2013. ,
DOI : 10.1016/j.rse.2013.07.027
URL : https://hal.archives-ouvertes.fr/hal-01315422
Maize and sunflower biomass estimation in southwest France using high spatial and temporal resolution remote sensing data, Remote Sensing of Environment, vol.124, pp.844-857, 2012. ,
DOI : 10.1016/j.rse.2012.04.005
URL : https://hal.archives-ouvertes.fr/ird-00718813
Estimation spatialisée de la biomasse et des besoins en eau des cultures à l'aide de données satellitales à hautes résolutions spatiale et temporelle : application aux agrosystèmes du sud-ouest de la France, Thèse). Université Paul Sabatier - Toulouse III, 2012. ,
Mean shift: a robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.5, pp.603-619, 2002. ,
DOI : 10.1109/34.1000236
URL : http://nichol.as/papers/Comaniciu/Mean%20Shift:%20A%20Robust%20Approach%20Toward.pdf
The soil-crop models STICS and AqYield predict yield and soil water content for irrigated crops equally well with limited data, Agricultural and Forest Meteorology, vol.206, pp.55-68, 2015. ,
DOI : 10.1016/j.agrformet.2015.02.011
URL : https://hal.archives-ouvertes.fr/hal-01136704
Contribution of Remote Sensing for Crop and Water Monitoring, Land Surface Remote Sensing in Agriculture and Forest, Remote Sensing Observations of Continental Surfaces, 2016. ,
DOI : 10.1016/B978-1-78548-103-1.50004-2
URL : https://hal.archives-ouvertes.fr/hal-01603663
Assessing the Potentialities of FORMOSAT, 2008. ,
URL : https://hal.archives-ouvertes.fr/ird-00392685
Crop growth and productivity monitoring and simulation using remote sensing and GIS, in: Proceedings of « Sat Ellite Remote Sensing and GIS Applications in Agricultural Meteorology " Training Workshop. Presented at the «Satellite Remote Sensing and GIS Applications in Agricultural Meteorology, pp.263-289, 2003. ,
Les bilans hydriques et énergétiques et l'étude des facteurs du milieu, 1968. ,
The change in the specific leaf area of maize grown under Mediterranean conditions, Agronomie, vol.14, issue.7, pp.433-443, 1994. ,
DOI : 10.1051/agro:19940702
URL : https://hal.archives-ouvertes.fr/hal-00885648
Spectral estimates of absorbed radiation and phytomass production in corn and soybean canopies, Remote Sensing of Environment, vol.39, issue.2, pp.141-152, 1992. ,
DOI : 10.1016/0034-4257(92)90132-4
Introduction: Renaissance of Scintillometry, Boundary-Layer Meteorology, vol.82, issue.1, p.1019628124829, 2002. ,
DOI : 10.1175/1520-0477(2001)082<2831:MSFDFR>2.3.CO;2
Remote sensing and crop production models: present trends, ISPRS Journal of Photogrammetry and Remote Sensing, vol.47, issue.2-3, pp.145-161, 1992. ,
DOI : 10.1016/0924-2716(92)90030-D
Estimation of leaf area and clumping indexes of crops with hemispherical photographs, Agricultural and Forest Meteorology, vol.148, issue.4, pp.644-655, 2008. ,
DOI : 10.1016/j.agrformet.2007.11.015
URL : https://hal.archives-ouvertes.fr/ird-00421578
The Effects of Soil Moisture Stress at Different Stages of Growth on the Development and Yield of Corn1, Agronomy Journal, vol.52, issue.5, pp.272-274, 1960. ,
DOI : 10.2134/agronj1960.00021962005200050010x
Exploring the transferability of a land-surface hydrology model, Journal of Hydrology, vol.265, issue.1-4, pp.258-28210, 2002. ,
DOI : 10.1016/S0022-1694(02)00111-7
Remote sensing estimates of boreal and temperate forest woody biomass: carbon pools, sources, and sinks, Remote Sensing of Environment, vol.84, issue.3, pp.393-410, 2003. ,
DOI : 10.1016/S0034-4257(02)00130-X
URL : http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1042&context=usdafsfacpub
A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling Advances in airborne electromagnetics and remote sensing of agroecosystems 9, International Journal of Applied Earth Observation and Geoinformation, pp.165-193, 2007. ,
Estimating actual irrigation application by remotely sensed evapotranspiration observations, Agricultural Water Management, vol.97, issue.9, 2010. ,
DOI : 10.1016/j.agwat.2010.03.017
Irrigation Performance using Hydrological and Remote Sensing Modeling, Journal of Irrigation and Drainage Engineering, vol.128, issue.1, pp.11-180733, 2002. ,
DOI : 10.1061/(ASCE)0733-9437(2002)128:1(11)
GRAAL: a model of GRowth, Architecture and carbon ALlocation during the vegetative phase of the whole maize plant, Ecological Modelling, vol.165, issue.2-3, pp.147-173, 2003. ,
DOI : 10.1016/S0304-3800(03)00072-3
Inversion of the PROSAIL model to estimate leaf area index of maize, potato, and sunflower fields from unmanned aerial vehicle hyperspectral data, International Journal of Applied Earth Observation and Geoinformation, vol.26, pp.12-20, 2014. ,
DOI : 10.1016/j.jag.2013.05.007
Impact of Sowing Date on Yield and Water Use Efficiency of Wheat Analyzed through Spatial Modeling and FORMOSAT-2 Images, Remote Sensing, vol.43, issue.5, pp.5951-597910, 2015. ,
DOI : 10.1016/j.agrformet.2012.07.008
URL : http://www.mdpi.com/2072-4292/7/5/5951/pdf
A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index, Environmental Modelling & Software, vol.23, issue.7, pp.876-892, 2008. ,
DOI : 10.1016/j.envsoft.2007.10.003
URL : https://hal.archives-ouvertes.fr/ird-00388344
Agrometerological study of semi???arid areas: an experiment for analysing the potential of time series of FORMOSAT???2 images (Tensift???Marrakech plain), International Journal of Remote Sensing, vol.90, issue.17-18, pp.5291-52991001431160802036482, 1080. ,
DOI : 10.1080/01431160701250390
URL : https://hal.archives-ouvertes.fr/ird-00385110
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, Agricultural Water Management, vol.79, issue.1, pp.1-27, 2006. ,
DOI : 10.1016/j.agwat.2005.02.013
Normalisation of directional effects in 10-day global syntheses derived from VEGETATION/SPOT:, Remote Sensing of Environment, vol.81, issue.1, pp.101-113, 2002. ,
DOI : 10.1016/S0034-4257(01)00337-6
NOAA/AVHRR Bidirectional Reflectance, Remote Sensing of Environment, vol.67, issue.1, pp.51-6710, 1999. ,
DOI : 10.1016/S0034-4257(98)00080-7
Les bases de l'irrigation. Éd. Tec & Doc-Lavoisier, 1987. ,
A meteorological estimation of relevant parameters for snow models, Annals of Glaciology, vol.18, pp.65-71, 1993. ,
DOI : 10.1017/S0260305500011277
URL : https://www.cambridge.org/core/services/aop-cambridge-core/content/view/0CDEF8674702899D704720E849FC7291/S0260305500011277a.pdf/div-class-title-a-meteorological-estimation-of-relevant-parameters-for-snow-models-div.pdf
CERES-Maize: a simulation model of maize growth and development, 1986. ,
A unified nomenclature for sap flow measurements, Tree Physiology, vol.17, issue.1, pp.65-67, 1997. ,
DOI : 10.1093/treephys/17.1.65
URL : https://academic.oup.com/treephys/article-pdf/17/1/65/4627107/17-1-65.pdf
Combining FAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in a semi-arid region, Agricultural Water Management, vol.87, issue.1, pp.41-54, 2007. ,
DOI : 10.1016/j.agwat.2006.02.004
URL : https://hal.archives-ouvertes.fr/ird-00389379
Heat-pulse measurements of sap flow in olives for automating irrigation: tests, root flow and diagnostics of water stress, Agricultural Water Management, vol.51, issue.2, pp.99-123, 2001. ,
DOI : 10.1016/S0378-3774(01)00119-6
Agro-hydrology and multi-temporal high-resolution remote sensing: toward an explicit spatial processes calibration, Hydrology and Earth System Sciences, vol.20145194, issue.18, pp.5219-523710, 2014. ,
DOI : 10.5194/hess-18-5219-2014
URL : https://hal.archives-ouvertes.fr/hal-01209246
Estimation of sunflower yield using multi-spectral satellite data (optical or radar) in a simplified agro-meteorological model, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.4001-4004, 2015. ,
DOI : 10.1109/IGARSS.2015.7326702
Combined use of optical and radar satellite data for the monitoring of irrigation and soil moisture of wheat crops, Hydrology and Earth System Sciences, vol.15, issue.4, pp.1117-1129, 2011. ,
DOI : 10.5194/hess-15-1117-2011
Coupling of satellite data and production models for yields forecasting at regional scale. State of art and methodological developments, Presented at the 1st France- Germany Symposium on Earth Observation, CNES-CNRS-DARA-DLR, 1995. ,
Errors in Measuring Absorbed Radiation and Computing Crop Radiation Use Efficiency, Agronomy Journal, vol.85, issue.6, pp.1222-1228, 1993. ,
DOI : 10.2134/agronj1993.00021962008500060024x
Saison sèche et indice xérothermique, pp.269-269, 1954. ,
Analyses of spectral-biophysical relationships for a corn canopy, Remote Sensing of Environment, vol.55, issue.1, pp.11-20, 1996. ,
DOI : 10.1016/0034-4257(95)00187-5
Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems, Hydrological Références bibliographiques Processes, pp.4050-4062, 2011. ,
DOI : 10.1016/j.jhydrol.2009.09.047
Le sol vivant: bases de pédologie, 2010. ,
Coniferous forest leaf-area index estimation along the oregon transect using compact airborne spectrographic imager data, Photogrammetric Engineering & Remote Sensing, vol.61, pp.1107-1117, 1995. ,
Evaluation of transpiration in a Douglas-fir stand by means of sap flow measurements, Tree Physiology, vol.3, issue.4, 1987. ,
DOI : 10.1093/treephys/3.4.309
Une nouvelle m??thode pour la mesure du flux de s??ve brute dans le tronc des arbres, Annales des Sciences Foresti??res, vol.42, issue.2, pp.193-200, 1985. ,
DOI : 10.1051/forest:19850204
Combined NOAA-AVHRR and SPOT-HRV data for assessing crop yields of semiarid environments, EARSel Advances in Remote Sensing, pp.110-123, 1993. ,
On the use of long-term global data of land reflectances and vegetation indices derived from the advanced very high resolution radiometer, Journal of Geophysical Research: Atmospheres, vol.103, issue.D6, pp.6241-6255, 1999. ,
DOI : 10.1029/98JD00995
Utilisation conjointe du modèle STICS et de données de télédétection optique pour la détermination des pratiques culturales (semis, apports d'azote) en région méditerranéennes, pp.82-96, 2010. ,
Combined use of optical and radar satellite data for the detection of tillage and irrigation operations: Case study in Central Morocco, Agricultural Water Management, vol.96, issue.7, pp.1120-1127, 2009. ,
DOI : 10.1016/j.agwat.2009.02.010
URL : https://hal.archives-ouvertes.fr/ird-00389251
Spatialisation du modèle de culture STICS en région semi aride du Haouz à partir d'images satellites optiques haute résolution, Actes de WATMED 2, Deuxième Congrès Méditerranéen Des Ressources En Eau Dans Le Bassin Méditerranéen. Presented at the 2. WATMED, Congrès Méditerranéen des Ressources en Eau dans le Bassin Méditerranéen ; Marrakech (Maroc) - Congrès, p.10, 2005. ,
A Multi-Temporal and Multi-Spectral Method to Estimate Aerosol Optical Thickness over Land, for the Atmospheric Correction of FormoSat-2, LandSat, VEN??S and Sentinel-2 Images, Remote Sensing, vol.62, issue.3, pp.2668-269110, 2015. ,
DOI : 10.1029/2008JD011115
A multi-temporal method for cloud detection, applied to FORMOSAT-2, VEN??S, LANDSAT and SENTINEL-2 images, Remote Sensing of Environment, vol.114, issue.8, pp.1747-1755, 2010. ,
DOI : 10.1016/j.rse.2010.03.002
URL : https://hal.archives-ouvertes.fr/hal-00489793/document
Correction of aerosol effects on multi-temporal images acquired with constant viewing angles: Application to Formosat-2 images, Remote Sensing of Environment, vol.112, issue.4, pp.1689-1701, 2008. ,
DOI : 10.1016/j.rse.2007.08.016
URL : https://hal.archives-ouvertes.fr/hal-00265400
Scaling-up crop models for climate variability applications, Agricultural Systems, vol.65, issue.1, pp.43-72, 2000. ,
DOI : 10.1016/S0308-521X(00)00025-1
Evaluating the Crop Coefficient Using Spectral Reflectance Measuring surface layer fluxes of heat and momentum using optical scintillation, Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments (CCFAS-JRC Technical Reports). Publications Office of the European, 1982. ,
AquaCrop???The FAO Crop Model to Simulate Yield Response to Water: III. Parameterization and Testing for Maize, Agronomy Journal, vol.101, issue.3, pp.448-459, 2009. ,
DOI : 10.2134/agronj2008.0218s
A soil-adjusted vegetation index (SAVI) Remote Sensing of Environment 25, pp.295-309, 1988. ,
DOI : 10.1016/0034-4257(88)90106-x
Estimating cotton evapotranspiration crop coefficients with a multispectral vegetation index, Irrigation Science, vol.22, issue.2, pp.95-104, 2003. ,
DOI : 10.1007/s00271-003-0074-6
Interpreting vegetation indices, Preventive Veterinary Medicine, vol.11, issue.3-4, pp.185-200, 1991. ,
DOI : 10.1016/S0167-5877(05)80004-2
Wheat canopy temperature: A practical tool for evaluating water requirements, Water Resources Research, vol.58, issue.3, pp.651-656, 1977. ,
DOI : 10.2134/agronj1966.00021962005800060009x
PROSPECT+SAIL models: A review of use for vegetation characterization, Remote Sensing of Environment, vol.113, pp.56-66, 2009. ,
DOI : 10.1016/j.rse.2008.01.026
Utilisation de la haute résolution spectrale pour l'étude des couverts végétaux: développement d'un modèle de réflectance spectrale, Thèse), 1992. ,
Sirius: a mechanistic model of wheat response to environmental variation, European Journal of Agronomy, vol.8, issue.3-4, pp.161-179, 1998. ,
DOI : 10.1016/S1161-0301(98)00020-3
Review of methods for in situ leaf area index determination, Agricultural and Forest Meteorology, vol.121, issue.1-2, pp.19-35, 2004. ,
DOI : 10.1016/j.agrformet.2003.08.027
The DSSAT cropping system model, Modelling Cropping Systems: Science, Software and Applications, pp.235-265, 2003. ,
DOI : 10.1016/S1161-0301(02)00107-7
Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region, Agricultural Water Management, vol.130, pp.14-26, 2013. ,
DOI : 10.1016/j.agwat.2013.08.005
URL : https://hal.archives-ouvertes.fr/hal-01004239
Explicative model of water transfer in the plant and daily evolution of leaf potential, Presented at the Conference Internationale: les besoins en eau des cultures, pp.11-14, 1984. ,
Water productivity in agriculture: limits and opportunities for improvement, 2003. ,
DOI : 10.1079/9780851996691.0000
Maize yield potential: critical processes and simulation modeling in a high-yielding environment, Agricultural Systems, vol.82, issue.1, 2004. ,
DOI : 10.1016/j.agsy.2003.11.006
Radiation-use efficiency response to vapor pressure deficit for maize and sorghum, Field Crops Research, vol.56, issue.3, pp.265-270, 1998. ,
DOI : 10.1016/S0378-4290(97)00092-0
Radiation-use efficiency in biomass accumulation prior to grain-filling for five grain-crop species, Field Crops Research, vol.20, issue.1, pp.51-64, 1989. ,
DOI : 10.1016/0378-4290(89)90023-3
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions, SIAM Journal on Optimization, vol.9, issue.1, pp.112-14710, 1137. ,
DOI : 10.1137/S1052623496303470
URL : http://www.aoe.vt.edu/~cliff/aoe5244/nelder_mead_2.pdf
Apport de la télédétection à hautes résolutions spatiale et temporelle pour l'estimation des besoins en eau des cultures irriguées sur le bassin Versant de la Neste, 2014. ,
Apport de l'imagerie optique multi-temporelle pour la cartographie des surfaces irriguées, Sud-Ouest de Toulouse (Midi Pyrénées, France) (Rapport de Stage M2 TGAE (Télédétection et géomatique appliquées à l'environnement), 2013. ,
Quantifying the effect of uncertainty in soil moisture characteristics on plant growth using a crop simulation model, Field Crops Research, vol.106, issue.2, 2008. ,
DOI : 10.1016/j.fcr.2007.11.004
The use of remotely sensed data in estimation of PAR use efficiency and biomass production of flooded rice, Remote Sensing of Environment, vol.38, issue.2, pp.147-158, 1991. ,
DOI : 10.1016/0034-4257(91)90076-I
Change with time in potential radiation-use efficiency in field pea, European Journal of Agronomy, vol.19, issue.1, pp.91-10510, 2003. ,
DOI : 10.1016/S1161-0301(02)00019-9
Combining hectometric and decametric satellite observations to provide near real time decametric FAPAR product, Remote Sensing of Environment, vol.200 ,
DOI : 10.1016/j.rse.2017.08.018
URL : https://hal.archives-ouvertes.fr/hal-01608228
Assimilating remote sensing information into a coupled hydrology-crop growth model to estimate regional maize yield in arid regions, Ecological Modelling, vol.291, pp.15-27, 2014. ,
DOI : 10.1016/j.ecolmodel.2014.07.013
Cartographie des surfaces irriguées par imagerie satellitaire optique et radar à haute résolution spatiale et temporelle, 2016. ,
Maize Radiation Use Efficiency under Optimal Growth Conditions, Agronomy Journal, vol.97, issue.1, 2005. ,
DOI : 10.2134/agronj2005.0072
URL : https://dl.sciencesocieties.org/publications/aj/pdfs/97/1/0072
Assessment of vegetation indices for regional crop green LAI estimation from Landsat images over multiple growing seasons, Remote Sensing of Environment, vol.123, 2012. ,
DOI : 10.1016/j.rse.2012.04.002
Estimating crop stresses, aboveground dry biomass and yield of corn using multi-temporal optical data combined with a radiation use efficiency model, Remote Sensing of Environment, vol.114, issue.6, pp.1167-1177, 2010. ,
DOI : 10.1016/j.rse.2010.01.004
Remote sensing of regional crop production in the Yaqui Valley, Mexico: estimates and uncertainties, Agriculture, Ecosystems & Environment, vol.94, issue.2, pp.205-220, 2003. ,
DOI : 10.1016/S0167-8809(02)00021-X
Yield Potential, Plant Assimilatory Capacity, and Metabolic Efficiencies, Crop Science, vol.39, issue.6, pp.1584-1596, 1999. ,
DOI : 10.2135/cropsci1999.3961584x
Parameterized Model of Gramineous Crop Growth: I. Leaf Area and Dry Mass Simulation, Agronomy Journal, vol.85, issue.2, pp.348-353, 1993. ,
DOI : 10.2134/agronj1993.00021962008500020034x
GRAMI: a crop growth model that can use remotely sensed information, ARS -U.S. Department of Agriculture, Agricultural Research Service (USA) 78 pp, 1992. ,
Use of remotely-sensed information in agricultural crop growth models, Ecological Modelling, vol.41, issue.3-4, pp.247-268, 1988. ,
DOI : 10.1016/0304-3800(88)90031-2
Using Satellite Data to Improve Model Estimates of Crop Yield, Agronomy Journal, vol.80, issue.4, 1988. ,
DOI : 10.2134/agronj1988.00021962008000040021x
Sorghum and sunflower evapotranspiration and yield from simulated leaf area index, Agricultural Water Management, vol.35, issue.1-2, pp.167-182, 1997. ,
DOI : 10.1016/S0378-3774(97)00029-2
Effect of Maize Maturity on Radiation-Use Efficiency, Agronomy Journal, vol.83, issue.5, 1991. ,
DOI : 10.2134/agronj1991.00021962008300050023x
Design and construction of large weighing monolith lysimeters, pp.477-484, 1988. ,
Satellite-based terrestrial production efficiency modeling, Carbon Balance and Management, vol.4, issue.1, 2009. ,
DOI : 10.1186/1750-0680-4-8
State of the Orfeo Toolbox, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.1336-1339, 2015. ,
DOI : 10.1109/IGARSS.2015.7326022
Potential yields and the efficiency of radiation use in rice (No. IRRI Discussion Paper Series, International Rice Research Institute (IRRI), 1998. ,
A system to measure surface fluxes of momentum, sensible heat, water vapour and carbon dioxide, Journal of Hydrology, vol.188, issue.189, pp.589-611, 1997. ,
DOI : 10.1016/S0022-1694(96)03194-0
On the Factor Light in Plant Communities and its Importance for Matter Production, Annals of Botany, vol.95, issue.3, pp.549-567, 2005. ,
DOI : 10.1093/aob/mci052
Über den lichtfaktor in den pflanzengesellschaften und seine bedeutung für die stoffproduktion, Japanese Journal of Botany, vol.14, 1953. ,
Climate and the Efficiency of Crop Production in Britain [and Discussion], Philosophical Transactions of the Royal Society B: Biological Sciences, vol.281, issue.980, pp.277-2940140, 1977. ,
DOI : 10.1098/rstb.1977.0140
Solar Radiation and Productivity in Tropical Ecosystems, The Journal of Applied Ecology, vol.9, issue.3, pp.747-766, 1972. ,
DOI : 10.2307/2401901
Photosynthetically Active Radiation: Measurement and Modeling, Encyclopedia of Sustainability Science and Technology, pp.7902-7932, 2012. ,
Combining agricultural crop models and satellite observations: From field to regional scales, International Journal of Remote Sensing, vol.19, issue.6, pp.1021-1036, 1998. ,
DOI : 10.1080/014311698215586
URL : https://hal.archives-ouvertes.fr/hal-01788273
Temperature and Solar Radiation Effects on Potential Maize Yield across Locations, Agronomy Journal, vol.82, issue.2, pp.338-343, 1990. ,
DOI : 10.2134/agronj1990.00021962008200020033x
On the relationship between FAPAR and NDVI, Remote Sensing of Environment, vol.49, issue.3, pp.200-21110, 1994. ,
DOI : 10.1016/0034-4257(94)90016-7
A model for crop yield and water footprint assessment: Study of maize in the Po valley, Agricultural Systems, vol.127, 2014. ,
DOI : 10.1016/j.agsy.2014.03.006
Development of Reflectance-Based Crop Coefficients for Corn, Transactions of the ASAE, vol.32, issue.6, pp.1891-189910, 1990. ,
DOI : 10.13031/2013.31240
Evaluation of Single and Dual Crop Coefficient Methods for Estimation of Wheat and Maize Evapotranspiration, Advances in Environmental Biology, vol.9, pp.963-971, 2015. ,
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
Data assimilation of observations from space, in: Microwave Remote Sensing of Land Surfaces, Remote Sensing Observations of Continental Surfaces, 2016. ,
Stochastic imaging of soil parameters to assess variability and uncertainty of crop yield estimates, Geoderma, vol.85, issue.2-3, pp.213-22910, 1998. ,
DOI : 10.1016/S0016-7061(98)00021-4
Monitoring regional wheat yield in Southern Spain using the GRAMI model and satellite imagery, Field Crops Research, vol.130, pp.145-154, 2012. ,
DOI : 10.1016/j.fcr.2012.02.025
Simulation of winter wheat yield and its variability in different climates of Europe: A comparison of eight crop growth models, European Journal of Agronomy, vol.35, issue.3, pp.103-114, 2011. ,
DOI : 10.1016/j.eja.2011.05.001
Assessing the performance of the FAO AquaCrop model to estimate maize yields and water use under full and deficit irrigation with focus on model parameterization, Agricultural Water Management, vol.144, pp.81-97, 2014. ,
DOI : 10.1016/j.agwat.2014.06.002
Partitioning evapotranspiration, yield prediction and economic returns of maize under various irrigation management strategies, Agricultural Water Management, vol.135, pp.27-39, 2014. ,
DOI : 10.1016/j.agwat.2013.12.010
Crop evapotranspiration estimation with FAO56: Past and future, Agricultural Water Management, Agricultural Water Management: Priorities and Challenges, 2015. ,
DOI : 10.1016/j.agwat.2014.07.031
Remote Sensing for Crop Management, pp.647-664, 2003. ,
AFRCWHEAT2: A model of the growth and development of wheat incorporating responses to water and nitrogen, European Journal of Agronomy, vol.2, issue.2, pp.69-82, 1993. ,
DOI : 10.1016/S1161-0301(14)80136-6
Satellite remote sensing of primary production: comparison of results for Sahelian grasslands 1981-1988, International Journal of Remote Sensing, vol.3, issue.6, pp.1301-1311, 1991. ,
DOI : 10.1080/01431168308948550
Spectral Crop Coefficient Approach for Estimating Daily Crop Water Use Advances in Remote Sensing 3, 2014. ,
DOI : 10.4236/ars.2014.33013
URL : http://www.scirp.org/journal/PaperDownload.aspx?paperID=50274
Simulation of spring barley yield in different climatic zones of Northern and Central Europe: A comparison of nine crop models, Field Crops Research, vol.133, pp.23-36, 2012. ,
DOI : 10.1016/j.fcr.2012.03.016
Monitoring Irrigation Consumption Using High Resolution NDVI Image Time Series: Calibration and Validation in the Kairouan Plain (Tunisia), Remote Sensing, vol.44, issue.10, pp.13005-1302810, 2015. ,
DOI : 10.1109/TGRS.2006.872081
URL : http://www.mdpi.com/2072-4292/7/10/13005/pdf
A Heat Balance Method for Measuring Water Flux in the Stem of Intact Plants, Journal of Agricultural Meteorology, vol.37, issue.1, 1981. ,
DOI : 10.2480/agrmet.37.9
Crop responses to water at different stages of growth, Res. Rev. Commonw. Bur. Hort. Plantation Crops, vol.2, issue.256, 1967. ,
Testing Remote Sensing Approaches for Assessing Yield Variability among Maize Fields, Agronomy Journal, vol.106, issue.1, 2014. ,
DOI : 10.2134/agronj2013.0314
URL : https://dl.sciencesocieties.org/publications/aj/pdfs/106/1/24
Estimation spatialisée de l'évapotranspiration des cultures irriguées par télédétection : applicationà la gestion de l'irrigation dans la plaine de Haouz, pp.123-130, 2009. ,
Crop Modeling: From Infancy to Maturity Leaf Nitrogen, Photosynthesis, and Crop Radiation Use Efficiency: A Review, Agronomy Journal Crop Science, vol.88, issue.29, pp.90-98, 1989. ,
DOI : 10.2135/cropsci1989.0011183x002900010023x
Variability of light interception and radiation use efficiency in maize and soybean, Field Crops Research, vol.121, issue.1, pp.147-152, 2011. ,
DOI : 10.1016/j.fcr.2010.12.007
Expert Consultation on Revision of FAO Methodologies for Crop Water Requirements. Presented at the Expert Consultation on Revision of FAO Methodologies for Crop Water Requirements, pp.28-31, 1990. ,
Crop yield response to water -FAO Irrigation and drainage paper 66, p.pp, 2012. ,
AquaCrop???The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles, Agronomy Journal, vol.101, issue.3, 2009. ,
DOI : 10.2134/agronj2008.0139s
URL : https://dl.sciencesocieties.org/publications/aj/pdfs/101/3/426
Optimizing crop production through control of water and salinity levels in the soil, Reports Paper, vol.67, 1977. ,
The calculation of the directional reflectance of a vegetative canopy, Remote Sensing of Environment, vol.2, issue.71, pp.1971-1973 ,
DOI : 10.1016/0034-4257(71)90085-X
Variables Productivity of Light Interception in Grain Maize Hybrids at Various Amount of Nitrogen, World Applied Sciences Journal, vol.16, pp.86-93, 2012. ,
Yield potential, yield stability and stress tolerance in maize, Field Crops Research, vol.75, issue.2-3, pp.161-16910, 2002. ,
DOI : 10.1016/S0378-4290(02)00024-2
Radiation Use Efficiency of an Old and a New Maize Hybrid Irrigation management with remote sensing: Evaluating irrigation requirement for maize under Mediterranean climate condition, Agronomy Journal, vol.84, issue.536, 1992. ,
Satellite remote sensing of primary production, International Journal of Remote Sensing, vol.12, issue.11, pp.1395-1416, 1986. ,
DOI : 10.1104/pp.47.5.656
Satellite remote sensing of total dry matter production in the Senegalese Sahel, Remote Sensing of Environment, vol.13, issue.6, pp.461-474, 1983. ,
DOI : 10.1016/0034-4257(83)90053-6
Scatter Search and Local NLP Solvers: A Multistart Framework for Global Optimization, INFORMS Journal on Computing, vol.19, issue.3, pp.328-340, 2007. ,
DOI : 10.1287/ijoc.1060.0175
Simulation of Water Use, Nitrogen Nutrition and Growth of a Spring Wheat Crop, 1987. ,
Simulation of crop growth for potential and water -limited production situations : as applied to spring wheat, CABO-DLO, 1992. ,
Efficience de la conversion de l'energie solaire par un couvert vegetal, Acta Oecologica Oecologia Plantarum, vol.3, pp.3-26, 1982. ,
Modélisation spatialisée de la production, des flux et des bilans de Références bibliographiques carbone et d'eau des cultures de blé à l'aide de données de télédétection : application au sud-ouest de la France, Thèse). Université Paul Sabatier -Toulouse III, 2014. ,
Optimal modalities for radiative transfer-neural network estimation of canopy biophysical characteristics: Evaluation over an agricultural area with CHRIS/PROBA observations, Remote Sensing of Environment, vol.115, issue.2, pp.415-426, 2011. ,
DOI : 10.1016/j.rse.2010.09.012
URL : https://hal.archives-ouvertes.fr/hal-01321194
Accuracy assessment of fraction of vegetation cover and leaf area index estimates from pragmatic methods in a cropland area, International Journal of Remote Sensing, vol.21, issue.10, pp.2685-270410, 1080. ,
DOI : 10.1016/j.agrformet.2005.09.009
Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model, Remote Sensing of Environment, vol.16, issue.2, pp.125-14110, 1984. ,
DOI : 10.1016/0034-4257(84)90057-9
URL : https://ris.utwente.nl/ws/files/30135287/Verhoef1984light.pdf
A 50-year high-resolution atmospheric reanalysis over France with the Safran system, International Journal of Climatology, vol.136, issue.11, pp.1627-1644, 2003. ,
DOI : 10.4267/2042/36233
URL : https://hal.archives-ouvertes.fr/meteo-00420845
A comparison of empirical and neural network approaches for estimating corn and soybean leaf area index from Landsat ETM+ imagery. Remote Sensing of Environment, Soil Moisture Experiment (SMEX02) 92, pp.465-474, 2002. ,
Review of methods for in situ leaf area index (LAI) determination, Agricultural and Forest Meteorology, vol.121, issue.1-2, pp.37-53, 2004. ,
DOI : 10.1016/j.agrformet.2003.08.001
Validation of neural net techniques to estimate canopy biophysical variables from remote sensing data, Agronomie, vol.22, issue.6, pp.547-553, 2002. ,
DOI : 10.1051/agro:2002036
Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data, Agronomie, vol.20, issue.1, pp.3-22, 2000. ,
DOI : 10.1051/agro:2000105
URL : https://hal.archives-ouvertes.fr/hal-00885991
Evaluation of Canopy Biophysical Variable Retrieval Performances from the Accumulation of Large Swath Satellite Data, Remote Sensing of Environment, vol.70, issue.3, pp.293-306, 1999. ,
DOI : 10.1016/S0034-4257(99)00045-0
Advanced Very High Resolution Radiometer (AVHRR) NDVI in Kruger National Park, South Africa, International Journal of Remote Sensing, vol.3, issue.5, pp.951-97310, 1080. ,
DOI : 10.1046/j.1365-2486.2003.00534.x
Rapid canopy closure for maize production in the northern US corn belt: Radiation-use efficiency and grain yield, Field Crops Research, vol.49, issue.2-3, pp.249-258, 1997. ,
DOI : 10.1016/S0378-4290(96)01055-6
Water Deficits and Reproduction in Maize : Response of the Reproductive Tissue to Water Deficits at Anthesis and Mid-Grain Fill, PLANT PHYSIOLOGY, vol.91, issue.3, pp.862-867, 1989. ,
DOI : 10.1104/pp.91.3.862
Vegetation indices in crop assessments, Remote Sensing of Environment, vol.35, issue.2-3, pp.105-119, 1991. ,
DOI : 10.1016/0034-4257(91)90004-P
Use of Spectral Vegetation Indices to Infer Leaf Area, Evapotranspiration and Yield: I. Rationale Canopy Architecture at Various Population Densities and the Growth and Grain Yield of Corn2, Agronomy Journal Crop Science, vol.82, issue.8, pp.303-308, 1968. ,
DOI : 10.2134/agronj1990.00021962008200030038x
The simulation of photosynthetic systems. Presented at the Prediction and measurement of photosynthetic productivity, Proceedings of the IBP/PP Technical Meeting, pp.14-21, 1970. ,
A simulation model linking crop growth and soil biogeochemistry for sustainable agriculture, Ecological Modelling, vol.151, issue.1, pp.75-108, 2002. ,
DOI : 10.1016/S0304-3800(01)00527-0
WATPRO: A remote sensing based model for mapping water productivity of wheat, Agricultural Water Management, vol.97, issue.10, pp.1628-1636, 2010. ,
DOI : 10.1016/j.agwat.2010.05.017
DAM) et du GAI pour les six années à Lamothe. Le modèle a été appliqué en utilisant des profils de GAI effectif (a) ou corrigé (b) ,
est comparé au GAI « satellite » (étoiles) et la biomasse simulée (trait discontinu) est comparée aux mesures in situ (croix) Les valeurs de LAI destructif sont représentées par des ronds. Les deux traits verticaux représentent la date de levée ,
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
Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage Paper 56, 1998. ,
Maize Root Biomass and Net Rhizodeposited Carbon, Soil Science Society of America Journal, vol.70, issue.5, pp.1489-1503, 2006. ,
DOI : 10.2136/sssaj2005.0216
Automatic Registration of Optical Images, a Stake for Future Missions: Application to Ortho-Rectification, Time Series and Mosaic Products, IGARSS 2008, 2008 IEEE International Geoscience and Remote Sensing Symposium, pp.928-931, 2008. ,
DOI : 10.1109/IGARSS.2008.4779194
Modeled analysis of the biophysical nature of spectral shifts and comparison with information content of broad bands, Remote Sensing of Environment, vol.41, issue.2-3, 1992. ,
DOI : 10.1016/0034-4257(92)90073-S
LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION, Remote Sensing of Environment, vol.110, issue.3, pp.275-286, 2007. ,
DOI : 10.1016/j.rse.2007.02.018
URL : https://hal.archives-ouvertes.fr/ird-00397417
GAI estimates of row crops from downward looking digital photos taken perpendicular to rows at 57.5?? zenith angle: Theoretical considerations based on 3D architecture models and application to wheat crops, Agricultural and Forest Meteorology, vol.150, issue.11, pp.1393-1401, 2010. ,
DOI : 10.1016/j.agrformet.2010.04.011
Retrieval of biophysical vegetation parameters using simultaneous inversion of high resolution remote sensing imagery constrained by a vegetation index, Precision Agriculture, vol.63, issue.5, pp.541-557, 2013. ,
DOI : 10.1109/36.934080
An overview of the crop model stics, European Journal of Agronomy, vol.18, issue.3-4, pp.309-332, 2003. ,
DOI : 10.1016/S1161-0301(02)00110-7
URL : https://hal.archives-ouvertes.fr/hal-01190851
Albedo and LAI estimates from FORMOSAT-2 data for crop monitoring, Remote Sensing of Environment, vol.113, issue.4, pp.716-729, 2009. ,
DOI : 10.1016/j.rse.2008.11.014
SUNFLO, a model to simulate genotype-specific performance of the sunflower crop in contrasting environments, Agricultural and Forest Meteorology, vol.151, issue.2, pp.163-178, 2011. ,
DOI : 10.1016/j.agrformet.2010.09.012
URL : https://hal.archives-ouvertes.fr/hal-01506231
Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data, Remote Sensing of Environment, vol.184, pp.668-681, 2016. ,
DOI : 10.1016/j.rse.2016.07.030
Simulation of Maize Yield under Water Stress with the EPICphase and CROPWAT Models, Agronomy Journal, vol.92, issue.4, pp.679-690, 2000. ,
DOI : 10.2134/agronj2000.924679x
URL : https://dl.sciencesocieties.org/publications/aj/pdfs/92/4/679
Lesson learned from FORMOSAT-2 mission operations . Space for Inspiration of Humankind, Selected Proceedings of the 56th International Astronautical Federation Congress, pp.17-21, 2005. ,
DOI : 10.1016/j.actaastro.2006.02.008
Maize and sunflower biomass estimation in southwest France using high spatial and temporal resolution remote sensing data, Remote Sensing of Environment, vol.124, pp.844-857, 2012. ,
DOI : 10.1016/j.rse.2012.04.005
URL : https://hal.archives-ouvertes.fr/ird-00718813
Validation of coarse spatial resolution LAI and FAPAR time series over cropland in southwest France, Remote Sensing of Environment, vol.139, 2013. ,
DOI : 10.1016/j.rse.2013.07.027
URL : https://hal.archives-ouvertes.fr/hal-01315422
The soil-crop models STICS and AqYield predict yield and soil water content for irrigated crops equally well with limited data, Agricultural and Forest Meteorology, vol.206, pp.55-68, 2015. ,
DOI : 10.1016/j.agrformet.2015.02.011
URL : https://hal.archives-ouvertes.fr/hal-01136704
Assessing the Potentialities of FORMOSAT-2 Data for Water and Crop Monitoring at Small Regional Scale in South-Eastern France, Sensors, vol.68, issue.D14, pp.3460-3481, 2008. ,
DOI : 10.1016/S0034-4257(98)00122-9
URL : https://hal.archives-ouvertes.fr/ird-00392685
The change in the specific leaf area of maize grown under Mediterranean conditions, Agronomie, vol.14, issue.7, pp.433-443, 1994. ,
DOI : 10.1051/agro:19940702
URL : https://hal.archives-ouvertes.fr/hal-00885648
Estimation of leaf area and clumping indexes of crops with hemispherical photographs, Agricultural and Forest Meteorology, vol.148, issue.4, pp.644-655, 2008. ,
DOI : 10.1016/j.agrformet.2007.11.015
URL : https://hal.archives-ouvertes.fr/ird-00421578
Remote sensing estimates of boreal and temperate forest woody biomass: carbon pools, sources, and sinks, Remote Sensing of Environment, vol.84, issue.3, pp.393-410, 2003. ,
DOI : 10.1016/S0034-4257(02)00130-X
URL : http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1042&context=usdafsfacpub
GRAAL: a model of GRowth, Architecture and carbon ALlocation during the vegetative phase of the whole maize plant: model description and parameterisation, Ecol. Model, vol.16523, issue.03, pp.147-173, 2003. ,
Inversion of the PROSAIL model to estimate leaf area index of maize, potato, and sunflower fields from unmanned aerial vehicle hyperspectral data, International Journal of Applied Earth Observation and Geoinformation, vol.26, pp.12-20, 2014. ,
DOI : 10.1016/j.jag.2013.05.007
A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index, Environmental Modelling & Software, vol.23, issue.7, pp.876-892, 2008. ,
DOI : 10.1016/j.envsoft.2007.10.003
URL : https://hal.archives-ouvertes.fr/ird-00388344
Impact of Sowing Date on Yield and Water Use Efficiency of Wheat Analyzed through Spatial Modeling and FORMOSAT-2 Images, Remote Sensing, vol.43, issue.5, pp.5951-5979, 2015. ,
DOI : 10.1016/j.agrformet.2012.07.008
URL : http://www.mdpi.com/2072-4292/7/5/5951/pdf
A meteorological estimation of relevant parameters for snow models, Annals of Glaciology, vol.18, pp.65-71, 1993. ,
DOI : 10.1017/S0260305500011277
CERES-Maize: A Simulation Model of Maize Growth and Development. Texas A&M University Press, College Station Retrieved from http, 1986. ,
Spatialising crop models, Agron. Sustain. Dev, vol.24, issue.4, pp.205-217, 2004. ,
DOI : 10.1051/agro:2004016
URL : https://hal.archives-ouvertes.fr/hal-00886026
Agro-hydrology and multi-temporal high-resolution remote sensing: toward an explicit spatial processes calibration, Hydrology and Earth System Sciences, vol.18, issue.12, pp.5219-5237, 2014. ,
DOI : 10.5194/hess-18-5219-2014-supplement
URL : https://hal.archives-ouvertes.fr/hal-01209246
Combined use of optical and radar satellite data for the monitoring of irrigation and soil moisture of wheat crops, Hydrology and Earth System Sciences, vol.15, issue.4, pp.1117-1129, 2011. ,
DOI : 10.5194/hess-15-1117-2011
Combined use of optical and radar satellite data for the detection of tillage and irrigation operations: Case study in Central Morocco, Agricultural Water Management, vol.96, issue.7, pp.1120-1127, 2009. ,
DOI : 10.1016/j.agwat.2009.02.010
URL : https://hal.archives-ouvertes.fr/ird-00389251
Potentiality of optical and radar satellite data at high spatio-temporal resolutions for the monitoring of irrigated wheat crops in Morocco, International Journal of Applied Earth Observation and Geoinformation, vol.12, issue.1, pp.32-37, 2010. ,
DOI : 10.1016/j.jag.2009.09.003
Correction of aerosol effects on multi-temporal images acquired with constant viewing angles: application to Formosat-2 images. Remote Sensing of Environment: Data Assimilation Special Issue, pp.1689-1701, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00265400
A multi-temporal method for cloud detection, applied to FORMOSAT-2, VEN??S, LANDSAT and SENTINEL-2 images, Remote Sensing of Environment, vol.114, issue.8, pp.1747-1755, 2010. ,
DOI : 10.1016/j.rse.2010.03.002
URL : https://hal.archives-ouvertes.fr/hal-00489793/document
A Multi-Temporal and Multi-Spectral Method to Estimate Aerosol Optical Thickness over Land, for the Atmospheric Correction of FormoSat-2, LandSat, VEN??S and Sentinel-2 Images, Remote Sensing, vol.62, issue.3, pp.2668-2691, 2015. ,
DOI : 10.1029/2008JD011115
AquaCrop???The FAO Crop Model to Simulate Yield Response to Water: III. Parameterization and Testing for Maize, Agronomy Journal, vol.101, issue.3, pp.448-459, 2009. ,
DOI : 10.2134/agronj2008.0218s
Sirius: a mechanistic model of wheat response to environmental variation, European Journal of Agronomy, vol.8, issue.3-4, pp.3-4, 1998. ,
DOI : 10.1016/S1161-0301(98)00020-3
Review of methods for in situ leaf area index determination, Agricultural and Forest Meteorology, vol.121, issue.1-2, pp.19-35, 2004. ,
DOI : 10.1016/j.agrformet.2003.08.027
Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region, Agricultural Water Management, vol.130, pp.14-26, 1987. ,
DOI : 10.1016/j.agwat.2013.08.005
URL : https://hal.archives-ouvertes.fr/hal-01004239
Maize yield potential: critical processes and simulation modeling in a high-yielding environment, Agricultural Systems, vol.82, issue.1, pp.45-56, 2004. ,
DOI : 10.1016/j.agsy.2003.11.006
Simulation of Crop Growth for Potential and Water -Limited Production Situations: As Applied to Spring Wheat (p. 72 pp) Wageningen, CABO-DLO Retrieved from http, 1992. ,
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions, SIAM Journal on Optimization, vol.9, issue.1, pp.112-147, 1998. ,
DOI : 10.1137/S1052623496303470
Assimilating remote sensing information into a coupled hydrology-crop growth model to estimate regional maize yield in arid regions, Ecological Modelling, vol.291, pp.15-27, 2014. ,
DOI : 10.1016/j.ecolmodel.2014.07.013
Estimating crop stresses, aboveground dry biomass and yield of corn using multi-temporal optical data combined with a radiation use efficiency model, Remote Sensing of Environment, vol.114, issue.6, pp.1167-1177, 2010. ,
DOI : 10.1016/j.rse.2010.01.004
Assessment of vegetation indices for regional crop green LAI estimation from Landsat images over multiple growing seasons, Remote Sensing of Environment, vol.123, pp.347-358, 2012. ,
DOI : 10.1016/j.rse.2012.04.002
Remote sensing of regional crop production in the Yaqui Valley, estimates and uncertainties, 2003. ,
Parameterized Model of Gramineous Crop Growth: I. Leaf Area and Dry Mass Simulation, Agronomy Journal, vol.85, issue.2, pp.348-353, 1993. ,
DOI : 10.2134/agronj1993.00021962008500020034x
Sorghum and sunflower evapotranspiration and yield from simulated leaf area index, Agricultural Water Management, vol.35, issue.1-2, pp.167-182, 1997. ,
DOI : 10.1016/S0378-3774(97)00029-2
On the Factor Light in Plant Communities and its Importance for Matter Production, Annals of Botany, vol.95, issue.3, pp.549-567, 2005. ,
DOI : 10.1093/aob/mci052
Solar Radiation and Productivity in Tropical Ecosystems, The Journal of Applied Ecology, vol.9, issue.3, pp.747-766, 1972. ,
DOI : 10.2307/2401901
Combining agricultural crop models and satellite observations: From field to regional scales, International Journal of Remote Sensing, vol.19, issue.6, pp.1021-1036, 1998. ,
DOI : 10.1080/014311698215586
URL : https://hal.archives-ouvertes.fr/hal-01788273
A model for crop yield and water footprint assessment: Study of maize in the Po valley, Agricultural Systems, vol.127, pp.139-149, 2014. ,
DOI : 10.1016/j.agsy.2014.03.006
Monitoring regional wheat yield in Southern Spain using the GRAMI model and satellite imagery. Field Crop Res, pp.145-154, 2012. ,
DOI : 10.1016/j.fcr.2012.02.025
Assessing the performance of the FAO AquaCrop model to estimate maize yields and water use under full and deficit irrigation with focus on model parameterization, Agricultural Water Management, vol.144, pp.81-97, 2014. ,
DOI : 10.1016/j.agwat.2014.06.002
Partitioning evapotranspiration, yield prediction and economic returns of maize under various irrigation management strategies, Agricultural Water Management, vol.135, pp.27-39, 2014. ,
DOI : 10.1016/j.agwat.2013.12.010
Remote Sensing for Crop Management, Photogrammetric Engineering & Remote Sensing, vol.69, issue.6, pp.647-664, 2003. ,
DOI : 10.14358/PERS.69.6.647
AFRCWHEAT2: A model of the growth and development of wheat incorporating responses to water and nitrogen, European Journal of Agronomy, vol.2, issue.2, pp.69-82, 1993. ,
DOI : 10.1016/S1161-0301(14)80136-6
Testing Remote Sensing Approaches for Assessing Yield Variability among Maize Fields, Agronomy Journal, vol.106, issue.1, 2014. ,
DOI : 10.2134/agronj2013.0314
URL : https://dl.sciencesocieties.org/publications/aj/pdfs/106/1/24
AquaCrop???The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles, Agronomy Journal, vol.101, issue.3, pp.426-437, 2009. ,
DOI : 10.2134/agronj2008.0139s
URL : https://dl.sciencesocieties.org/publications/aj/pdfs/101/3/426
Crop Yield Response to Water -FAO Irrigation and Drainage Paper 66, 2012. ,
System Description of the Wofost 6.0 Crop Simulation Model Implemented in CGMS Joint Research Centre, 1994. ,
Yield potential, yield stability and stress tolerance in maize, Field Crops Research, vol.75, issue.2-3, pp.161-169, 2002. ,
DOI : 10.1016/S0378-4290(02)00024-2
Satellite remote sensing of primary production, International Journal of Remote Sensing, vol.12, issue.11, pp.1395-1416, 1986. ,
DOI : 10.1104/pp.47.5.656
Satellite remote sensing of total dry matter production in the Senegalese Sahel, Remote Sensing of Environment, vol.13, issue.6, pp.461-4740034, 1983. ,
DOI : 10.1016/0034-4257(83)90053-6
Scatter Search and Local NLP Solvers: A Multistart Framework for Global Optimization, INFORMS Journal on Computing, vol.19, issue.3, pp.328-340, 2007. ,
DOI : 10.1287/ijoc.1060.0175
Efficience de la conversion de l'energie solaire par un couvert vegetal, Acta Oecologica Oecologia Plantarum, vol.3, issue.1, pp.3-26, 1982. ,
A 50-year high-resolution atmospheric reanalysis over France with the Safran system, International Journal of Climatology, vol.136, issue.11, 2010. ,
DOI : 10.4267/2042/36233
URL : https://hal.archives-ouvertes.fr/meteo-00420845
Review of methods for in situ leaf area index (LAI) determination, Agricultural and Forest Meteorology, vol.121, issue.1-2, pp.37-53, 2004. ,
DOI : 10.1016/j.agrformet.2003.08.001
Advanced Very High Resolution Radiometer (AVHRR) NDVI in Kruger National Park, South Africa, International Journal of Remote Sensing, vol.3, issue.5, pp.951-973, 2006. ,
DOI : 10.1046/j.1365-2486.2003.00534.x
The simulation of photosynthetic systems. Presented at the Prediction and measurement of photosynthetic productivity, Proceedings of the IBP/PP Technical Meeting, pp.14-21, 1969. ,