M. Aboelghar, S. Arafat, A. Saleh, S. Naeem, M. Shirbeny et al., Retrieving leaf area index from SPOT4 satellite data, The Egyptian Journal of Remote Sensing and Space Science, vol.13, pp.121-127, 2010.
DOI : 10.1016/j.ejrs.2010.06.001

URL : https://doi.org/10.1016/j.ejrs.2010.06.001

B. Acock and M. C. Acock, Potential for Using Long-Term Field Research Data to Develop and Validate Crop Simulators, Agronomy Journal, vol.83, p.56, 1991.

E. Adam, O. Mutanga, and D. Et-rugege, Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review, Wetlands Ecology and Management, vol.18, pp.281-296, 2010.

A. Réunion, , 2010.

I. Ali, F. Cawkwell, E. Dwyer, B. Barrett, and S. Et-green, Satellite remote sensing of grasslands: from observation to management, Journal of Plant Ecology, vol.9, pp.649-671, 2016.

A. S. Andrade, P. M. Santos, J. R. Pezzopane, L. C. De-araujo, B. C. Pedreira et al., Simulating tropical forage growth and biomass accumulation: an overview of model development and application, Grass and Forage Science, vol.71, pp.54-65, 2016.

G. P. Asner, J. M. Scurlock, and J. Hicke, Global synthesis of leaf area index observations: implications for ecological and remote sensing studies, Global Ecology and Biogeography, vol.12, pp.191-205, 2003.

G. Asrar, M. Fuchs, E. T. Kanemasu, and J. L. Hatfield, Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1, Agronomy Journal, vol.76, p.300, 1984.
DOI : 10.2134/agronj1984.00021962007600020029x

E. Bappel, A. Bégué, J. F. Martiné, A. Pellegrino, and B. Siegmund, Assimilation of a biophysical parameter estimated by remote sensing using SPOT 4&5 data into a sugarcane yield forecasting model, Proc. ISSCT, vol.25, 2005.

F. Baret, G. Guyot, and D. J. Major, TSAVI: A Vegetation Index Which Minimizes Soil, Brightness Effects On LAI And APAR Estimation, vol.3, pp.1355-1358, 1989.
DOI : 10.1109/igarss.1989.576128

W. Bertile, Les Hauts de La Réunion, étude géographique, vol.9, pp.16-67, 1978.

W. Bertile, Les« Hauts » de La Réunion. La Réunion, atlas thématique et régional (Editions Arts Graphiques Modernes, pp.130-137, 1987.

B. A. Bouman, H. Van-keulen, H. H. Van-laar, and R. Et-rabbinge, The 'School of de Wit' crop growth simulation models: A pedigree and historical overview, Agricultural Systems, vol.52, pp.171-198, 1996.

R. C. Buckley, A. Gubb, and R. J. Wasson, Parallel dunefield ecosystems: predicted soil nitrogen gradient tested, Journal of Arrid Environments, vol.12, pp.105-110, 1987.
DOI : 10.1016/s0140-1963(18)31180-7

R. C. Buckley, R. J. Wasson, and A. Gubb, Phosphorus and potassium status of arid dunefield soils in central Australia and southern Africa, and biogeographic implications, Journal of Arid Environments, vol.13, pp.211-216, 1987.

F. Canisius, R. Fernandes, and J. Chen, Comparison and evaluation of Medium Resolution Imaging Spectrometer leaf area index products across a range of land use, Remote Sensing of Environment, vol.114, pp.950-960, 2010.

C. Collet, Précis de Télédétection: Traitements Numériques d'Images de Télédétection, 2001.

B. G. Cook, Tropical forages: an interactive selection tool. CSIRO, Dept of Primary Industries & Fisheries (Qld), Centro Internacional de Agricultura Tropical (CIAT) and the International Livestock Research Institute (ILRI), 2005.

X. Cui, C. Gibbes, J. Southworth, and P. Et-waylen, Using Remote Sensing to Quantify Vegetation Change and Ecological Resilience in a Semi-Arid System. Land, vol.2, pp.108-130, 2013.

V. K. Dadhwal, Crop growth and productivity monitoring ans imulation using remote sensing and GIS, Proc. Satellite Remote Sensing and GIS applications in agricultural meteorology, pp.263-289, 2003.

R. Darvishzadeh, A. Skidmore, M. Schlerf, C. Atzberger, F. Corsi et al., LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements, ISPRS Journal of Photogrammetry and Remote Sensing, vol.63, pp.409-426, 2008.

C. T. De-witt, Transpiration and crop yield, Agricultural research report, vol.64, 1958.

F. Debenham, The Kalahari today, Geographical Journal, vol.118, pp.12-23, 1952.

J. Defos-du-rau, Etude de Géographie humaine, vol.716, 1960.

P. Degenne, D. Lo-seen, D. Parigot, R. Forax, A. Tran et al., Design of a Domain Specific Language for modelling processes in landscapes, Ecological Modelling, vol.220, pp.3527-3535, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00619737

R. Delécolle, S. J. Maas, M. Guérif, and F. Baret, Remote sensing and crop production models: present trends, ISPRS Journal of Photogrammetry and Remote Sensing, vol.47, pp.145-161, 1992.

W. A. Dorigo, R. Zurita-milla, A. J. De-wit, J. Brazile, R. Singh et al., A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling, International Journal of Applied Earth Observation and Geoinformation, vol.9, pp.165-193, 2007.

W. G. Duncan, SIMCOT: a simulation of cotton growth and yiel, pp.115-118, 1972.

W. G. Duncan, R. S. Loomis, W. A. Williams, and R. Hanau, A model for simulating photosynthesis in plant communities. Hilgardia, vol.38, pp.181-205, 1967.

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, Ecological Modelling, vol.220, pp.209-225, 2009.

P. Dusseux, T. Corpetti, L. Hubert-moy, and S. Et-corgne, Combined Use of MultiTemporal Optical and Radar Satellite Images for Grassland Monitoring, Remote Sensing, vol.6, pp.6163-6182, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01102961

J. R. Eagleman, An experimentally derived model for actual evapotranspiration, Agricultural Meteorology, vol.8, pp.385-394, 1971.

W. J. Fulkerson, M. Blacklock, N. Nelson, and N. S. Wollongbar, NSW Agriculture et Dairy Research and Development Corporation (Australia) (1997) Managing pastures

B. Gabrielle, S. Menasseri, and S. Houot, Analysis and Field Evaluation of the Ceres Models Water Balance Component, Soil Science Society of America Journal, vol.59, p.1403, 1995.

B. Gao, NDWI-A normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sensing of Environment, vol.58, pp.257-266, 1996.

X. Gao, Optical-Biophysical Relationships of Vegetation Spectra without Background Contamination, Remote Sensing of Environment, vol.74, pp.609-620, 2000.

A. A. Gitelson, Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of Vegetation, Journal of Plant Physiology, vol.161, pp.165-173, 2004.

S. Goswami, J. Gamon, S. Vargas, and C. Et-tweedie, Relationships of NDVI, Biomass, and Leaf Area Index (LAI) for six key plant species in Barrow, Alaska. PeerJ PrePrints, 2015.

T. Stocker, D. Qin, and G. Plattner, Changements climatiques 2013 les éléments scientifiques: résumé à l'intention des décideurs : rapport du groupe de travail I du GIEC : résumé technique : rapport accepté par le Groupe de travail I du GIEC mais non approuvé dans le détail et foire aux questions : extraits de la contribution du groupe de travail I au cinquième rapport d'évaluation du Groupe d'experts intergouvernemental sur l'évolution du climat, 2013.

A. Guellec, L'aménagement des Hauts à La Réunion, Annales de Géographie, vol.101, pp.1-27, 1992.

I. G. Haddon and T. S. Mccarthy, The Mesozoic-Cenozoic interior sag basins of Central Africa: The Late-Cretaceous-Cenozoic Kalahari and Okavango basins, Journal of African Earth Sciences, vol.43, pp.316-333, 2005.

J. L. Hatfield, E. T. Kanemasu, G. Asrar, R. D. Jackson, P. J. Pinter et al., Leaf-area estimates from spectral measurements over various planting dates of wheat ?, International Journal of Remote Sensing, vol.6, pp.167-175, 1985.

T. J. Hobbs, The use of NOAA-AVHRR NDVI data to assess herbage production in the arid rangelands of Central Australia, International Journal of Remote Sensing, vol.16, pp.1289-1302, 1995.

A. Huete, A soil-adjusted vegetation index (SAVI), vol.25, pp.295-309, 1988.
DOI : 10.1016/0034-4257(88)90106-x

Y. A. Hussin, R. M. Reich, and R. M. Hoffer, Estimating splash pine biomass using radar backscatter, IEEE Transactions on Geoscience and Remote Sensing, vol.29, pp.427-431, 1991.
DOI : 10.1109/36.79433

J. M. Jauze, Les centralités emboîtées de l'espace réunionnais. Mappemonde, n°51, pp.27-30, 1998.

J. Jauze, L'élevage à La Réunion (Mémoire de maîtrise, p.161, 1986.

J. Jauze, Les Hauts de La Réunion, terres de tradition et d'avenir, 2011.

F. Jeltsch, S. J. Milton, W. R. Dean, and N. Et-rooyen, Simulated pattern formation around artificial waterholes in the semi-arid Kalahari, Journal of Vegetation Science, vol.8, pp.177-188, 1997.
DOI : 10.2307/3237346

Y. Jin, X. Yang, J. Qiu, J. Li, T. Gao et al., Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal Variations in Temperate Grassland, Northern China. Remote Sensing, vol.6, pp.1496-1513, 2014.
DOI : 10.3390/rs6021496

URL : http://www.mdpi.com/2072-4292/6/2/1496/pdf

J. W. Jones, J. M. Antle, B. Basso, K. J. Boote, R. T. Conant et al., Brief history of agricultural systems modeling, Agricultural Systems, vol.155, pp.240-254, 2017.
DOI : 10.1016/j.agsy.2016.05.014

URL : https://doi.org/10.1016/j.agsy.2016.05.014

C. F. Jordan, Derivation of Leaf-Area Index from Quality of Light on the Forest Floor, Ecology, vol.50, pp.663-666, 1969.

N. Joshi, M. Baumann, A. Ehammer, R. Fensholt, K. Grogan et al., , 2016.

, A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring, Remote Sensing, vol.8, p.70

L. Kumar, P. Sinha, S. Taylor, and A. F. Et-alqurashi, Review of the use of remote sensing for biomass estimation to support renewable energy generation, Journal of Applied Remote Sensing, vol.9, p.97696, 2015.

D. B. Kurtz, J. Schellberg, and M. Braun, Ground and satellite based assessment of rangeland management in sub-tropical Argentina, Applied Geography, vol.30, pp.210-220, 2010.

E. Lagabrielle, P. Metzger, C. Martignac, B. Lortic, and L. Durieux, Les dynamiques d'occupation du sol à La Réunion, Mappemonde, n°14, p.23, 1989.

G. Lajoie and A. Et-hagen-zanker, La simulation de l'étalement urbain à La Réunion : apport de l'automate cellulaire Metronamica® pour la prospective territoriale, 2007.
DOI : 10.4000/cybergeo.11882

URL : https://doi.org/10.4000/cybergeo.11882

N. Lancaster, Development of linear dunes in the southwestern Kalahari, Southern Africa, Journal of Arid Environments, vol.14, pp.233-244, 1988.

. Le-changement-climatique-À-la-réunion, , 2013.

L. Mezo and L. , Caractérisation de la ressource fourragère des prairies cultivées de La Réunion par image satellite, 2012.

M. Leleux, Analyse prospective de la production fourragère, 2016.

F. Li, Y. Zeng, J. Luo, R. Ma, and B. Wu, Modeling grassland aboveground biomass using a pure vegetation index, Ecological Indicators, vol.62, pp.279-288, 2016.

J. Lim, K. Kawamura, H. Lee, R. Yoshitoshi, Y. Kurokawa et al., Evaluating a hand-held crop-measuring device for estimating the herbage biomass, leaf area index and crude protein content in an Italian ryegrass field, Grassland Science, vol.61, pp.101-108, 2015.

A. Lougnon, Sous le signe de la tortue: voyages anciens à l'Île Bourbon, Sainte-Clotilde, pp.1611-1725, 2006.

A. Luckman, J. Baker, M. Honzák, and R. Lucas, Tropical Forest Biomass Density Estimation Using JERS-1 SAR: Seasonal Variation, Confidence Limits, and Application to Image Mosaics, Remote Sensing of Environment, vol.63, pp.126-139, 1998.

D. J. Major, F. Baret, and G. Guyot, A ratio vegetation index adjusted for soil brightness, International Journal of Remote Sensing, vol.11, pp.727-740, 1990.

G. Mandret, L'élevage bovin à La Réunion: synthèse de quinze ans de recherche, 2000.

J. F. Martiné, Modélisation de la production potentielle de la canne à sucre en zone tropicale, sous conditions thermiques et hydriques contrastées. Applications du modèle, vol.131, 2003.

N. Mishra, K. Crews, J. Miller, and T. Meyer, Mapping Vegetation Morphology Types in Southern Africa Savanna Using MODIS Time-Series Metrics: A Case Study of Central Kalahari, vol.4, pp.197-215, 2015.

J. Morel, A. Bégué, P. Todoroff, J. Martiné, V. Lebourgeois et al., Coupling a sugarcane crop model with the remotely sensed time series of fIPAR to optimise the yield estimation, European Journal of Agronomy, vol.61, pp.60-68, 2014.

M. A. Müller, W. Giess, and B. Loutit, Grasse van Suidwes Afrika/Namibië. Namibië : Direktoraat Landbou en Bosbou, 1983.

C. Mundava, P. Helmholz, A. G. Schut, R. Corner, B. Mcatee et al., Evaluation of vegetation indices for rangeland biomass estimation in the Kimberley area of Western Australia. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, pp.47-53, 2014.

Y. Nouvellon, M. S. Moran, D. L. Seen, R. Bryant, S. Rambal et al., Coupling a grassland ecosystem model with Landsat imagery for a 10-year simulation of carbon and water budgets, Remote Sensing of Environment, vol.78, pp.131-149, 2001.

H. L. Penman, Estimating evaporation, Transactions, American Geophysical Union, vol.37, p.43, 1956.

D. N. Pequeno, C. G. Pedreira, and K. J. Et-boote, Simulating forage production of Marandu palisade grass (Brachiaria brizantha) with the CROPGRO-Perennial Forage model, 2014.

S. Perret, Propriétés physiques, hydriques, et mécaniques de sols andiques de La Réunion : facteurs naaturels et anthropiques d'évolution des horizons culturaux, implications agronomiques et écologiques (Thèse de Doctorat), vol.278, 1993.

N. Pettorelli, J. O. Vik, A. Mysterud, J. Gaillard, C. J. Tucker et al., Using the satellite-derived NDVI to assess ecological responses to environmental change, Trends in Ecology & Evolution, vol.20, pp.503-510, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00427841

J. Pontailler, G. J. Hymus, and B. G. Drake, Estimation of leaf area index using ground-based remote sensed NDVI measurements: validation and comparison with two indirect techniques, Canadian Journal of Remote Sensing, vol.29, pp.381-387, 2003.

, Programme général d'aménagement des Hauts de La Réunion, étude préliminaire, 1976.

J. Qi, A. Chehbouni, A. R. Huete, Y. H. Kerr, and S. Et-sorooshian, A modified soil adjusted vegetation index, Remote Sensing of Environment, vol.48, pp.119-126, 1994.

V. B. Rahetlah, P. Salgado, B. Andrianarisoa, E. Tillard, H. Razafindrazaka et al., Relationship between normalized difference vegetation index (NDVI) and forage biomass yield in the Vakinankaratra region, Madagascar. Livestock Research for Rural Development, vol.26, p.95, 2014.

M. Raunet, Carte morpho-pédologique de La Réunion, 1988.

E. J. Rignot, R. Zimmermann, and J. J. Van-zyl, Spaceborne applications of P band imaging radars for measuring forest biomass, IEEE Transactions on Geoscience and Remote Sensing, vol.33, pp.1162-1169, 1995.

B. R. Roberts and . Et-fourie, Algemene grasse van Noord-Kaapland, Noordkaap Lewende Hawe Koöperasie Beperk, 1975.

J. Roujean and F. Et-breon, Estimating PAR Absorbed by Vegetation from Bidirectional Reflectance Measurements. REMOTE SENS. ENVIRON, n°51, pp.375-384, 1995.

J. W. Rousse, R. H. Haas, J. A. Schell, and D. W. Deering, Monitoring vegetation systems in the Great Plains with ERTS, NASA. Goddard Space Flight Center, p.3, 1974.

, ERTS-1 Symp, vol.1, pp.309-317

G. Schino, F. Borfecchia, L. De-cecco, C. Dibari, M. Lanetta et al., Satellite estimate of grass biomass in a mountainous range in central Italy, Agroforestry Systems, vol.59, pp.157-162, 2003.

V. Sejian, J. Gaughan, L. Baumgard, and C. Prasad, Climate Change Impact on Livestock: Adaptation and Mitigation, 2015.

P. J. Sellers, Canopy reflectance, photosynthesis and transpiration, International Journal of Remote Sensing, vol.6, pp.1335-1372, 1985.

M. R. Shaw, L. Pendleton, D. R. Cameron, B. Morris, D. Bachelet et al.,

P. R. Roehrdanz, The impact of climate change on California's ecosystem services, Climatic Change, vol.109, pp.465-484, 2011.

D. Sporton and D. S. Thomas, Sustainable livelihoods in Kalahari environments: a contribution to global debates. Oxford geographical and environmental studies, 2002.

H. N. Stapleton, D. R. Buxton, D. J. Watson, and D. J. Et-noiting, Cotton: A Computer Simulation of Cotton Growth. College of Agriculture, p.206, 1974.

J. M. Suttie, S. G. Reynolds, and C. Batello, Grasslands of the world. (Food and Agriculture Organization of the United Nations, Dir.)Plant production and protection series. Rome : Food and Agricultural Organization of the United Nations, 2005.

P. S. Thenkabail, R. B. Smith, and E. Et-de-pauw, Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics, Remote Sensing of Environment, vol.71, pp.158-182, 2000.

D. S. Thomas, The Kalahari environment, 1991.

L. M. Thompson, Weather and Technology in the Production of Corn in the, Agronomy Journal, vol.61, p.453, 1969.

L. Tomassino, Choix et couplage de modèles du système sol-plante pour l'aide à la gestion des effluents d'élevage à La Réunion (Mémoire de DAA Génie de l'Environnement) (p. 52), 1999.

B. Truong, Evaluation de l'éfficacité agronomique de phosphates naturels provenant d'Afrique de l'Ouest (Thèse de Doctorat), 1989.

C. J. Tucker, Asymptotic nature of grass canopy spectral reflectance, Applied Optics, vol.16, p.1151, 1977.

C. J. Tucker, Red and photographic infrared linear combinations for monitoring vegetation, Remote Sensing of Environment, vol.8, pp.127-150, 1979.

C. J. Tucker, C. L. Vanpraet, M. J. Sharman, and G. Van-ittersum, Satellite remote sensing of total herbaceous biomass production in the senegalese sahel, pp.1980-1984, 1985.

, Remote Sensing of Environment, vol.17, pp.233-249

I. C. Harris and P. D. Jones, Climatic Research Unit (CRU) Time-Series (TS) version 4.00 of high resolution gridded data of month-by-month variation in climate, 1901.

C. H. Van-bavel, A drought criterion and its application in evaluating drought incidence and hazard, Agronomy Journal, vol.4, pp.167-172, 1953.

N. Van-rooyen, H. Bezuidenhout, and E. Et-de-kock, Flowering plants of the Kalahari dunes, 2001.

J. Vayssières, F. Guerrin, J. Paillat, and P. Et-lecomte, GAMEDE: A global activity model for evaluating the sustainability of dairy enterprises Part I-Whole-farm dynamic model, Agricultural Systems, vol.101, pp.128-138, 2009.

D. Wallach, The two forms of crop models. Working with Dynamic Crop Models, pp.3-9, 2006.

M. Weiss, S2ToolBox Level 2 products: LAI,FAPAR, FCOVER, p.53, 2016.

J. D. White, S. W. Running, R. Nemani, R. E. Keane, and K. C. Et-ryan, Measurement and remote sensing of LAI in Rocky Mountain montane ecosystems, Canadian Journal of Forest Research, vol.27, pp.1714-1727, 1997.

M. Yuping, W. Shili, Z. Li, H. Yingyu, Z. Liwei et al., Monitoring winter wheat growth in North China by combining a crop model and remote sensing data, International Journal of Applied Earth Observation and Geoinformation, vol.10, pp.426-437, 2008.

, Estimation de biomasse fourragère et télédétection 137

, Poster présenté au Living Planet Symposium, vol.3, 2016.

A. References, M. Arafat, S. Saleh, A. Naeem, S. Shirbeny et al., Retrieving leaf area index from SPOT4 satellite data. The Egyptian Journal of Remote Sensing and Space Science, vol.13, pp.121-127, 2010.

B. , R. D. Et-miguez, and D. F. , Agricultural risk management using NDVI pasture index-based insurance for livestock producers in south west Buenos Aires province, Agricultural Finance Review, vol.78, pp.77-91, 2015.

B. , A. Laporte, N. Goetz, S. J. Sun, M. Et et al., A first map of tropical Africa's above-ground biomass derived from satellite imagery, Environmental Research Letters, vol.3, 2008.

B. , S. K. Choudhury, B. U. Anil, S. Sunayan, S. Mukherjee et al., Relationship between leaf area index of wheat crop and different spectral indices in Punjab, Journal of Agrometeorology, vol.15, pp.98-102, 2013.

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

C. , C. Calloz, and R. , Précis de Télédétection: Traitements Numériques d'Images de Télédétection. Presses de l, p.403, 2001.

E. , C. Kuenzer, C. Et, D. , and S. , Derivation of biomass information for semi-arid areas using remote-sensing data, International Journal of Remote Sensing, vol.33, pp.2937-2984, 2012.

F. , P. L. Mougin, E. Et-hiernaux, and P. , Observations and Interpretation of Seasonal ERS-1 Wind Scatterometer Data over Northern Sahel (Mali). Remote Sensing of Environment, vol.63, pp.233-242, 1998.

G. and B. , NDWI-A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, vol.58, pp.257-266, 1996.

J. I. , L. Et-peters, and A. J. , Performance evaluation of spectral vegetation indices using a statistical sensitivity function. Remote Sensing of Environment, vol.106, pp.59-65, 2007.

J. , Y. , Y. , X. Qiu, J. Li et al., Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal Variations in Temperate Grassland. Northern China. Remote Sensing, vol.6, pp.1496-1513, 2014.

J. , I. R. Et-thornley, and J. H. , Vegetative crop growth model incorporating leaf area expansion and senescence, and applied to grass, Plant, Cell & Environment, vol.6, pp.721-729, 2006.

K. , R. Singh, B. Singh, M. Et-thind, and S. K. , Hyperspectral Indices, Correlation and Regression Models for Estimating Growth Parameters of Wheat Genotypes, Journal of the Indian Society of Remote Sensing, vol.43, pp.551-558, 2015.

L. , J. Kawamura, K. Lee, H. , Y. et al., Evaluating a hand-held crop-measuring device for estimating the herbage biomass, leaf area index and crude protein content in an Italian ryegrass field. Grassland Science, pp.61-101, 2015.

M. and J. , Croissance de la canne et stress hydrique : les apports d'un modèle plante. Agriculture et développement, pp.21-28, 1999.

M. and C. L. , L'indice différentiel normalisé de végétation comme indicateur de la dégradation, Unasylva, vol.62, pp.39-46, 2011.

M. , S. M. Raun, W. R. Mullen, R. W. Freeman, K. W. et al., Evaluation of Green, Red, and Near Infrared Bands for Predicting Winter Wheat Biomass, Nitrogen Uptake, and Final Grain Yield, Journal of Plant Nutrition, vol.27, pp.1431-1441, 2005.

N. and J. M. , Modeling the complete crop canopy, pp.249-277, 1979.

P. , J. Hymus, G. J. Et, D. , and B. G. , Estimation of leaf area index using ground-based remote sensed NDVI measurements: validation and comparison with two indirect techniques, Can. J. Remote Sensing, vol.29, pp.381-387, 2003.

P. , A. Kneubühler, M. Huber, S. Itten, K. Et-zimmermann et al., Hyperspectral remote sensing for estimating aboveground biomass and for exploring species richness patterns of grassland habitats, International Journal of Remote Sensing, vol.32, pp.9007-9031, 2011.

Q. I. , J. Chehbouni, A. Huete, A. R. Kerr, Y. H. Et et al., A modified soil adjusted vegetation index. Remote Sensing of Environment, vol.48, pp.119-126, 1994.

R. , H. Et-feng, and G. , Are soil-adjusted vegetation indices better than soilunadjusted vegetation indices for above-ground green biomass estimation in arid and semiarid grasslands, Grass and Forage Science, vol.70, pp.611-619, 2015.

R. , J. Breon, and F. , Estimating PAR Absorbed by Vegetation from Bidirectional Reflectance Measurements. Remote Sensing of Environnent, vol.51, pp.375-384, 1995.

S. , C. Et-kraus, and T. , Biomass estimation using Landsat-TM and-ETM+. Towards a regional model for Southern Africa, pp.177-187, 2004.

S. , C. A. Taylor, J. C. Et-plessis, and W. D. , Real-time monitoring of vegetation biomass with NOAA-AVHRR in Etosha National Park, Namibia, for fire risk assessment, International Journal of Remote Sensing, vol.23, pp.71-89, 2002.

S. , D. Barthold, F. K. Et-bernhofer, and C. , Spatiotemporal variability of grassland vegetation cover in a catchment in Inner Mongolia, China, derived from MODIS data products, Plant and Soil, vol.340, pp.181-198, 2011.

S. , G. Borfecchia, F. De-cecco, L. Dibari, C. Lanetta et al., Satellite estimate of grass biomass in a mountainous range in central Italy, Agroforestry Systems, vol.59, pp.157-162, 2003.

S. , H. Et-welker, and J. M. , Modeling the effect of photosynthetic vegetation properties on the NDVI-LAI relationship, vol.87, pp.2765-2772, 2006.

T. and C. J. , A spectral method for determining the percentage of green herbage material in clipped samples. Remote Sensing of Environment, vol.9, pp.175-181, 1980.

V. , J. Guerrin, F. Paillat, J. Et-lecomte, and P. , GAMEDE: A global activity model for evaluating the sustainability of dairy enterprises Part I-Whole-farm dynamic model, Agricultural Systems, vol.101, pp.128-138, 2009.
URL : https://hal.archives-ouvertes.fr/hal-01460921

W. and D. J. , Comparative Physiological Studies on the Growth of Field Crops. I. Variation in Net Assimilation Rate and Leaf Area between Species and Varieties, and within and between Years, Annals of Botany, vol.11, pp.41-76, 1947.

W. , K. J. Prince, S. D. Zambatis, N. Macfadyen, S. Frost et al., Relationship between herbaceous biomass and 1-km Advanced Very High Resolution Radiometer (AVHRR) NDVI in Kruger National Park. South Africa, International Journal of Remote Sensing, vol.27, pp.951-973, 2006.

W. , J. D. Running, S. W. Nemani, R. Keane, R. E. Et-ryan et al., Measurement and remote sensing of LAI in Rocky Mountain montane ecosystems, Canadian Journal of Forest Research, vol.27, pp.1714-1727, 1997.

W. , B. K. Denda, I. Pieper, R. D. Harrington-jr, J. A. Et-reed et al., Satellite-Based Herbaceous Biomass Estimates in the Pastoral Zone of Niger, J. Range Manage, pp.159-164, 1995.

X. , Y. Sha, Z. Et, Y. U. , and M. , Remote sensing imagery in vegetation mapping: a review, Journal of Plant Ecology, vol.1, pp.9-23, 2008.

Z. , F. Xu, B. , Y. , X. et al., Remote Sensing Estimates of Grassland Aboveground Biomass Based on MODIS Net Primary Productivity (NPP): A Case Study in the Xilingol Grassland of Northern China, Remote Sensing, vol.6, pp.5368-5386, 2014.