N. Agam, W. P. Kustas, S. R. Evett, P. D. Colaizzi, M. H. Cosh et al., Soil heat flux variability influenced by row direction in irrigated cotton, Advances in Water Resources, vol.50, pp.31-40, 2012.
DOI : 10.1016/j.advwatres.2012.07.017

B. Amesz and A. Lausink, Satellite sensing aid upper Volta's drilling, World Water, pp.21-24, 1984.

B. Andrieu, F. Baret, S. Jacquemoud, T. Malthus, and M. Steven, Evaluation of an improved version of SAIL model for simulating bidirectional reflectance of sugar beet canopies, Remote Sensing of Environment, vol.60, issue.3, pp.247-257, 1997.
DOI : 10.1016/S0034-4257(96)00126-5

F. Baret, B. De-solan, R. Lopez-lozano, K. Ma, and M. Weiss, 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

W. G. Bastiaanssen, D. J. Molden, and I. W. Makin, 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

F. Baup, R. Fieuzal, C. Marais-sicre, J. Dejoux, V. Le-dantec et al., MCM'10: An experiment for satellite multi-sensors crop monitoring from high to low resolution observations, 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012.
DOI : 10.1109/IGARSS.2012.6352527

W. Bobillet, J. Da-costa, C. Germain, O. Lavialle, and G. Grenier, Row detection in high resolution remote sensing images of vine fields, European Conference on Precision Agriculture, 2003.
URL : https://hal.archives-ouvertes.fr/hal-00169904

P. Boissard, J. G. Pointel, and J. Tranchefort, Estimation of the ground cover ratio of a wheat canopy using radiometry, International Journal of Remote Sensing, vol.1, issue.9, pp.1681-1692, 1992.
DOI : 10.1016/0034-4257(79)90013-0

J. Bossu, C. Gee, G. Jones, and F. Truchetet, Wavelet transform to discriminate between crop and weed in perspective agronomic images, Computers and Electronics in Agriculture, vol.65, issue.1, 2009.
DOI : 10.1016/j.compag.2008.08.004

A. Brunn and U. Weidner, Hierarchical Bayesian nets for building extraction using dense digital surface models, ISPRS Journal of Photogrammetry and Remote Sensing, vol.53, issue.5, pp.296-307, 1998.
DOI : 10.1016/S0924-2716(98)00012-4

X. P. Burgos-artizzu, A. Ribeiro, A. Tellaeche, G. Pajares, and C. Fernandez-quintanilla, Analysis of natural images processing for the extraction of agricultural elements. Image Vision Comput, pp.138-149, 2011.

Y. Callot, C. Mering, and A. Simonin, Quantification et cartographie par télédétection des aires dunaires sur les images SPOT panchromatiques à partir des méthodes de la morphologie mathématique, Bull. Inst. Géol, vol.53, pp.221-232, 1993.

I. Champion and R. Faivre, The field row direction relative to the radar azimuth considered as an apparent surface roughness for smooth bare soils, International Journal of Remote Sensing, vol.45, issue.16, pp.3305-3311, 1996.
DOI : 10.1080/01431169608949150

J. S. Chern, A. M. Wu, and S. F. Lin, Lesson learned from FORMOSAT-2 mission operations, Acta Astronautica, vol.59, issue.1-5, pp.344-350, 2006.
DOI : 10.1016/j.actaastro.2006.02.008

M. Claverie, V. Demarez, B. Duchemin, O. Hagolle, D. Ducrot et al., 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

K. Dabrowska-zielinska, M. Gruszczynska, W. Kowalik, and K. Stankiewicz, Application of multisensor data for evaluation of soil moisture, Advances in Space Research, vol.29, issue.1, pp.45-50, 2002.
DOI : 10.1016/S0273-1177(01)00626-3

P. Denoroy, E. Justes, and G. Goss, Mesure du taux de couverture du sol pour estimer les principales caract??ristiques d???une culture de colza avant montaison, Ol??agineux, Corps gras, Lipides, vol.7, issue.1, pp.118-123, 2000.
DOI : 10.1051/ocl.2000.0118

URL : http://doi.org/10.1051/ocl.2000.0118

M. C. Dobson and F. Ulaby, Microwave backscatter dependence on surface roughness, soil moisture, and soil texture: Part III-soil tension. geoscience and remote sensing, Geosci. Rem. Sens., IEEE Trans. on, pp.19-51, 1981.

M. C. Dobson, F. T. Ulaby, and L. E. Pierce, Land-cover classification and estimation of terrain attributes using synthetic aperture radar, Remote Sensing of Environment, vol.51, issue.1, pp.199-214, 1995.
DOI : 10.1016/0034-4257(94)00075-X

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, Agricultural Water Management, vol.79, issue.1, pp.1-27, 2006.
DOI : 10.1016/j.agwat.2005.02.013

B. Duchemin, P. Maisongrande, G. Boulet, and I. Benhadj, 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

R. Fieuzal, F. Baup, and C. Marais-sicre, Sensitivity of TerraSAR-X, RADARSAT-2 and ALOS satellite radar data to crop variables, 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012.
DOI : 10.1109/IGARSS.2012.6350504

R. Fieuzal, F. Baup, and C. Marais-sicre, Monitoring Wheat and Rapeseed by Using Synchronous Optical and Radar Satellite Data???From Temporal Signatures to Crop Parameters Estimation, Advances in Remote Sensing, vol.02, issue.02, pp.162-180, 2013.
DOI : 10.4236/ars.2013.22020

R. Fjørtoft and A. Lopès, Estimation of the mean radar reflectivity from a finite number of correlated samples, IEEE Transactions on Geoscience and Remote Sensing, vol.39, issue.1, 1999.
DOI : 10.1109/36.898684

C. Gaillard, Amélioration d'un modèle d'érosion hydrique pour la prise en compte spatiale de l'influence anthropique en milieu agricole, Thèse de doctorat, p.178, 2001.

C. Gée, J. Bossu, G. Jones, and F. Truchetet, Crop/weed discrimination in perspective agronomic images, Computers and Electronics in Agriculture, vol.60, issue.1, pp.49-59, 2008.
DOI : 10.1016/j.compag.2007.06.003

J. M. Guerrero, M. Guijarro, M. Montalvo, J. Romeo, L. Emmi et al., Automatic expert system based on images for accuracy crop row detection in maize fields, Expert Systems with Applications, vol.40, issue.2, pp.656-664, 2013.
DOI : 10.1016/j.eswa.2012.07.073

R. Hadria, B. Duchemin, F. Baup, T. Le-toan, A. Bouvet et al., 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

T. Hague and N. D. Tillett, A bandpass filter-based approach to crop row location and tracking, Mechatronics, vol.11, issue.1, pp.1-12, 2001.
DOI : 10.1016/S0957-4158(00)00003-9

J. Jenness, Tools for Graphics and Shapes: Extension for ArcGIS. Jenness Enterprises Available at, 2011.

X. Jin and C. Davis, Automated Building Extraction from High-Resolution Satellite Imagery in Urban Areas Using Structural, Contextual, and Spectral Information, EURASIP Journal on Advances in Signal Processing, vol.2005, issue.14, pp.2196-2206, 2005.
DOI : 10.1155/ASP.2005.2196

Q. Jishuang and W. Chao, A multi-threshold based morphological approach for extracting coastal line feature in remote sensing, Proceedings of the ISPRS Commission I Symposium on Integrated Remote Sensing at the Global, Regional andLocal Scale, 2002.

G. Jones, C. Gee, and F. Truchetet, Assessment of an inter-row weed infestation rate on simulated agronomic images, Computers and Electronics in Agriculture, vol.67, issue.1-2, pp.43-50, 2009.
DOI : 10.1016/j.compag.2009.02.009

D. S. Kimes and J. A. Kirchner, Diurnal variations of vegetation canopy structure, International Journal of Remote Sensing, vol.2, issue.2, pp.257-271, 1983.
DOI : 10.1080/01431168308948545

F. Laporterie, G. Flouzat, and O. Amram, Mathematical morphology multilevel analysis of trees patterns in Savannas, Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS'01), pp.1496-1498, 2001.

R. Latouche, Etudes médiévaless: le haut moyen Age. La France de l'Ouest. Des Pyrénées aux Alpes, pp.486-486, 1967.

J. G. Liu, E. Pattey, J. R. Miller, H. Mcnairn, A. Smith et al., 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

D. B. Lobell, G. P. Asner, J. I. Ortiz-monasterio, and T. L. Benning, 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

D. Loseen, E. Mougin, S. Rambal, A. Gaston, and P. Hiernaux, A regional Sahelian grassland model to be coupled with multispectral satellite data. II: Toward the control of its simulations by remotely sensed indices, Remote Sensing of Environment, vol.52, issue.3, pp.194-206, 1995.
DOI : 10.1016/0034-4257(94)00127-9

É. Maire, . Sicre, C. Marais, S. Guillerme, F. Rhoné et al., T??l??d??tection de la trame verte arbor??e en haute r??solution par morphologie math??matique, Revue internationale de g??omatique, vol.22, issue.4, pp.519-538, 2012.
DOI : 10.3166/rig.22.519-538

URL : https://halshs.archives-ouvertes.fr/halshs-01020839/file/rigTVB_maireetal_small1.pdf

J. A. Marchant, Tracking of row structure in three crops using image analysis, Computers and Electronics in Agriculture, vol.15, issue.2, pp.161-179, 1996.
DOI : 10.1016/0168-1699(96)00014-2

C. Matti-gallice and C. Collet, Morphologie mathématique et échelle. Extraction du bâti à différentes résolutions spatiales. Revue internationale de Géomatique, pp.3-4, 2004.

O. D. Mavrantza and P. D. Argialas, Implementation and evaluation of spatial filtering and edge detection techniques forlineament mapping ? case study: Alevrada, Central Greece, SPIE International Conference on Remote Sensing: Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, pp.417-428, 2003.

H. Mc-nairn, C. Champagne, J. Shang, D. Holmstrom, and G. Reichert, Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivering operational annual crop inventories, ISPRS Journal of Photogrammetry and Remote Sensing, vol.64, issue.5, pp.434-449, 2009.
DOI : 10.1016/j.isprsjprs.2008.07.006

U. Meier, Stades phénologiques des mono-et dicotylédones cultivées, Centre Fédéral de Recherches Biologiques pour l'Agriculture et les Forêts, 2001.

M. Montalvo, G. Pajares, J. M. Guerrero, J. Romeo, M. Guijarro et al., Automatic detection of crop rows in maize fields with high weeds pressure, Expert Systems with Applications, vol.39, issue.15, pp.11889-11897, 2012.
DOI : 10.1016/j.eswa.2012.02.117

M. S. Moran, L. Alonso, J. F. Moreno, M. Pilar-cendrero-mateo, D. Fernando-de-la-cruz et al., A RADARSAT-2 Quad-Polarized Time Series for Monitoring Crop and Soil Conditions in Barrax, Spain, 2012. A RADARSAT-2 Quad-Polarized Time Series for Monitoring Crop and Soil Conditions in Barrax, pp.1057-1070
DOI : 10.1109/TGRS.2011.2166080

H. J. Olsen, Determination of row position in small-grain crops by analysis of video images, Computers and Electronics in Agriculture, vol.12, issue.2, pp.147-162, 1995.
DOI : 10.1016/0168-1699(94)00044-Q

T. Rabaute, C. Tinel, . Marzocchi, S. Polizzi, and H. De-boissezon, Kalidéos, des images pour la science: un instrument au service des applications thématiques, pp.3-9, 2012.

V. Ranwez and P. Soille, Order independent homotopic thinning for binary and grey tone anchored skeletons, Pattern Recognition Letters, vol.23, issue.6, pp.687-702, 2002.
DOI : 10.1016/S0167-8655(01)00146-5

S. K. Seelan, S. Laguette, G. M. Casady, and G. A. Seielstad, Remote sensing applications for precision agriculture: A learning community approach, Remote Sensing of Environment, vol.88, issue.1-2, pp.157-169, 2003.
DOI : 10.1016/j.rse.2003.04.007

J. Serra, analysis, Image, morphology, mathematical, p.411, 1988.

D. Sheeren, S. Lefèvre, and J. Weber, La morphologie math??matique binaire pour l'extraction automatique des b??timents dans les images THRS, Revue internationale de g??omatique, vol.17, issue.3-4, pp.17-20, 2007.
DOI : 10.3166/geo.17.333-352

J. Shen and S. Castan, An optimal linear operator for step edge detection. CVGIP: Graph. Models Image Process, pp.112-133, 1992.

H. T. Sogaard and H. J. Olsen, Determination of crop rows by image analysis without segmentation, Computers and Electronics in Agriculture, vol.38, issue.2, pp.141-158, 2003.
DOI : 10.1016/S0168-1699(02)00140-0

M. G. Turner, Landscape Ecology: The Effect of Pattern on Process, Annual Review of Ecology and Systematics, vol.20, issue.1, pp.171-197, 1989.
DOI : 10.1146/annurev.es.20.110189.001131

F. T. Ulaby and J. E. Bare, Look direction modulation function of the radar backscattering coefficient of agricultural fields, Photogram. Eng. Rem. Sens, vol.45, pp.1495-1506, 1979.

F. T. Ulaby, C. T. Allen, G. Eger-iii, and E. Kanemasu, Relating the microwave backscattering coefficient to leaf area index, Remote Sensing of Environment, vol.14, issue.1-3, pp.113-133, 1984.
DOI : 10.1016/0034-4257(84)90010-5

S. Valero, J. Chanussot, J. A. Benediktsson, H. Talbot, and B. Waske, Advanced directional mathematical morphology for the detection of the road network in very high resolution remote sensing images, Pattern Recognition Letters, vol.31, issue.10, pp.1120-1127, 2010.
DOI : 10.1016/j.patrec.2009.12.018

URL : https://hal.archives-ouvertes.fr/hal-00578852

K. J. Wessels, S. D. Prince, N. Zambatis, S. Macfadyen, P. E. Frost et al., Advanced Very High Resolution Radiometer (AVHRR) NDVI in Kruger National Park, South Africa, Relationship between herbaceous biomass and 1-km(2) Advanced Very High Resolution Radiometer (AVHRR) NDVI in Kruger National Park, pp.951-973, 2006.
DOI : 10.1046/j.1365-2486.2003.00534.x

X. Wu, W. Xu, Y. Song, and M. Cai, A Detection Method of Weed in Wheat Field on Machine Vision, Procedia Engineering, vol.15, 1998.
DOI : 10.1016/j.proeng.2011.08.373

O. Zall and O. Russel, Ground water exploration programs in Africa. Satellite Hydrology, Am. water Res. Assoc, vol.5, pp.416-425, 1979.

C. Zhang, S. Murai, and E. P. Baltsavias, Road network detection by mathematical morphology, Bulletin de la S.F.P.T, vol.153, pp.94-96, 1999.

F. Zhao, X. Gu, W. Verhoef, Q. Wang, T. Yu et al., A spectral directional reflectance model of row crops, Remote Sensing of Environment, vol.114, issue.2, pp.265-285, 2010.
DOI : 10.1016/j.rse.2009.09.018

X. Zheng, P. Gong, and M. Strome, Characterizing spatial structure of tree canopy using color photographs and mathematical morphology. Canad, J. Rem. Sens, vol.21, issue.4, pp.420-428, 1995.