J. M. Salmon, M. A. Friedl, S. Frolking, D. Wisser, and E. M. Douglas, Global rain-fed, irrigated, and paddy croplands: A new high resolution map derived from remote sensing, crop inventories and climate data, Int. J. Appl. Earth Obs. Geoinf, vol.38, pp.321-334, 2015.

S. Siebert, P. Döll, J. Hoogeveen, J. Faures, K. Frenken et al., Development and validation of the global map of irrigation areas, Hydrol. Earth Syst. Sci, vol.9, pp.535-547, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00304866

M. Ozdogan and G. Gutman, A new methodology to map irrigated areas using multi-temporal MODIS and ancillary data: An application example in the continental US, Remote Sens. Environ, vol.112, pp.3520-3537, 2008.

M. K. Gumma, P. S. Thenkabail, F. Hideto, A. Nelson, V. Dheeravath et al., Mapping Irrigated Areas of Ghana Using Fusion of 30 m and 250 m Resolution Remote-Sensing Data

V. K. Boken, G. Hoogenboom, F. N. Kogan, J. E. Hook, D. L. Thomas et al., Potential of using NOAA-AVHRR data for estimating irrigated area to help solve an inter-state water dispute, Int. J. Remote Sens, vol.25, pp.2277-2286, 2004.

Y. Chen, D. Lu, L. Luo, Y. Pokhrel, K. Deb et al., Detecting irrigation extent, frequency, and timing in a heterogeneous arid agricultural region using MODIS time series, Landsat imagery, and ancillary data, Remote Sens. Environ, vol.204, pp.197-211, 2018.

D. Kamthonkiat, K. Honda, H. Turral, N. K. Tripathi, and V. Wuwongse, Discrimination of irrigated and rainfed rice in a tropical agricultural system using SPOT VEGETATION NDVI and rainfall data, Int. J. Remote Sens, vol.26, pp.2527-2547, 2005.

S. Bousbih, M. Zribi, M. El-hajj, N. Baghdadi, Z. Lili-chabaane et al., Soil Moisture and Irrigation Mapping in A Semi-Arid Region, Based on the Synergetic Use of Sentinel-1 and Sentinel-2 Data, Remote Sens, vol.10, 1953.
URL : https://hal.archives-ouvertes.fr/hal-01952417

R. Fieuzal, B. Duchemin, L. Jarlan, M. Zribi, F. Baup et al., Combined use of optical and radar satellite data for the monitoring of irrigation and soil moisture of wheat crops, Hydrol. Earth Syst. Sci, vol.15, 1117.

V. Demarez, F. Helen, C. Marais-sicre, and F. Baup, In-Season Mapping of Irrigated Crops Using Landsat 8 and Sentinel-1 Time Series

Q. Gao, M. Zribi, M. Escorihuela, N. Baghdadi, and P. Segui, Irrigation Mapping Using Sentinel-1 Time Series at Field Scale. Remote Sens, vol.10, 1495.
URL : https://hal.archives-ouvertes.fr/hal-01900567

H. Bazzi, N. Baghdadi, D. Ienco, M. El-hajj, M. Zribi et al., Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia
URL : https://hal.archives-ouvertes.fr/hal-02609618

N. Baghdadi, P. Camus, N. Beaugendre, O. M. Issa, M. Zribi et al., Estimating surface soil moisture from TerraSAR-X data over two small catchments in the Sahelian Part of Western Niger

N. Baghdadi, M. Choker, M. Zribi, M. E. Hajj, S. Paloscia et al., A new empirical model for radar scattering from bare soil surfaces
URL : https://hal.archives-ouvertes.fr/hal-01529350

N. Baghdadi, J. Abou-chaaya, and M. Zribi, Semiempirical Calibration of the Integral Equation Model for SAR Data in C-Band and Cross Polarization Using Radar Images and Field Measurements, IEEE Geosci. Remote Sens. Lett, vol.8, pp.14-18, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00550013

, Remote Sens, vol.12, p.1456, 2020.

M. Aubert, N. N. Baghdadi, M. Zribi, K. Ose, M. El-hajj et al., Toward an operational bare soil moisture mapping using TerraSAR-X data acquired over agricultural areas, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.6, pp.900-916, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00911016

N. N. Baghdadi, M. El-hajj, M. Zribi, and I. Fayad, Coupling SAR C-Band and Optical Data for Soil Moisture and Leaf Area Index Retrieval Over Irrigated Grasslands, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.9, pp.1229-1243, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01249995

Q. Gao, M. Zribi, M. Escorihuela, and N. Baghdadi, Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution, vol.17, 1966.
URL : https://hal.archives-ouvertes.fr/hal-01735576

M. El-hajj, N. Baghdadi, and M. Zribi, Comparative analysis of the accuracy of surface soil moisture estimation from the C-and L-bands, Int. J. Appl. Earth Obs. Geoinf, vol.82, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02609461

M. Foucras, M. Zribi, C. Albergel, N. Baghdadi, J. Calvet et al., Estimating 500-m Resolution Soil Moisture Using Sentinel-1 and Optical Data Synergy, vol.12, 2020.
URL : https://hal.archives-ouvertes.fr/hal-02613661

M. Hajj, N. Baghdadi, G. Belaud, M. Zribi, B. Cheviron et al., Grassland Monitoring Using a Time Series of TerraSAR-X and COSMO-SkyMed X-Band SAR Data. Remote Sens, vol.6, pp.10002-10032, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01098272

T. Benabdelouahab, D. Derauw, H. Lionboui, R. Hadria, B. Tychon et al., Using SAR Data to Detect Wheat Irrigation Supply in an Irrigated Semi-arid Area, J. Agric. Sci, vol.11, 2018.

C. Pelletier, G. Webb, and F. Petitjean, Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

X. X. Zhu, D. Tuia, L. Mou, G. Xia, L. Zhang et al., Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources, IEEE Geosci. Remote Sens. Mag, vol.5, pp.8-36, 2017.

E. Ndikumana, D. Ho-tong-minh, N. Baghdadi, D. Courault, and L. Hossard, Deep Recurrent Neural Network for Agricultural Classification using multitemporal SAR Sentinel-1 for Camargue, France, Remote Sens, vol.10, 1217.
URL : https://hal.archives-ouvertes.fr/hal-01900540

Q. Feng, J. Yang, D. Zhu, J. Liu, H. Guo et al., Integrating Multitemporal Sentinel-1/2 Data for Coastal Land Cover Classification Using a Multibranch Convolutional Neural Network: A Case of the Yellow River Delta

H. Bazzi, N. Baghdadi, M. El-hajj, M. Zribi, D. H. Minh et al., Mapping Paddy Rice Using Sentinel-1 SAR, Time Series, vol.11, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02137627

H. Bazzi, D. Ienco, N. Baghdadi, M. Zribi, and V. Demarez, Distilling Before Refine: Spatio-Temporal Transfer Learning for Mapping Irrigated Areas Using Sentinel-1 Time Series, IEEE Geosci. Remote Sens. Lett, vol.2020, pp.1-5
URL : https://hal.archives-ouvertes.fr/hal-02610244

M. Ozdogan, Exploring the potential contribution of irrigation to global agricultural primary productivity: IRRIGATION AND PRIMARY PRODUCTIVITY, Glob. Biogeochem. Cycles, vol.25, 2011.

M. H. Ali, M. R. Hoque, A. A. Hassan, and A. Khair, Effects of deficit irrigation on yield, water productivity, and economic returns of wheat. Agric. Water Manag, vol.92, pp.151-161, 2007.

R. Koech and P. Langat, Improving Irrigation Water Use Efficiency: A Review of Advances, Challenges and Opportunities in the Australian Context. Water, vol.10, 1771.

M. El-hajj, N. Baghdadi, M. Zribi, and H. Bazzi, Synergic Use of Sentinel-1 and Sentinel-2 Images for Operational Soil Moisture Mapping at High Spatial Resolution over Agricultural Areas
URL : https://hal.archives-ouvertes.fr/hal-01737156

H. Bazzi, N. Baghdadi, M. El-hajj, and M. Zribi, Potential of Sentinel-1 Surface Soil Moisture Product for Detecting Heavy Rainfall in the South of France, Sensors, vol.19, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02608831

J. Inglada, A. Vincent, M. Arias, B. Tardy, and D. Morin, Rodes, I. Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series

E. P. Attema and F. T. Ulaby, Vegetation modeled as a water cloud, Radio Sci, vol.13, pp.357-364, 1978.

A. Nasrallah, N. Baghdadi, M. El-hajj, T. Darwish, H. Belhouchette et al., Sentinel-1 Data for Winter Wheat Phenology Monitoring and Mapping, p.2228
URL : https://hal.archives-ouvertes.fr/hal-02609689

, Remote Sens, vol.12, p.1456, 2020.

M. El-hajj, N. Baghdadi, M. Zribi, N. Rodríguez-fernández, J. Wigneron et al., Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 Soil Moisture Products at Sites in Southwestern France, Remote Sens, vol.10, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01900522

H. Bazzi, N. Baghdadi, M. El-hajj, M. Zribi, and H. Belhouchette, A Comparison of Two Soil Moisture Products S2MP and Copernicus-SSM Over Southern France, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.2019, pp.1-10
URL : https://hal.archives-ouvertes.fr/hal-02609692

M. El-hajj, N. Baghdadi, H. Bazzi, and M. Zribi, Penetration Analysis of SAR Signals in the C and L Bands for Wheat, Maize, and Grasslands, Remote Sens, vol.11, p.31, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02608303

M. Aubert, N. Baghdadi, M. Zribi, A. Douaoui, C. Loumagne et al., Analysis of TerraSAR-X data sensitivity to bare soil moisture, roughness, composition and soil crust, Remote Sens. Environ, vol.115, pp.1801-1810, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00602355

N. Baghdadi, M. El-hajj, M. Choker, M. Zribi, H. Bazzi et al., Potential of Sentinel-1 Images for Estimating the Soil Roughness over, Bare Agricultural Soils, vol.10, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01702526

N. Baghdadi, O. Cerdan, M. Zribi, V. Auzet, F. Darboux et al., Operational performance of current synthetic aperture radar sensors in mapping soil surface characteristics in agricultural environments: Application to hydrological and erosion modelling, Hydrol. Process. Int. J, vol.22, pp.9-20, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00149444

N. Baghdadi, M. Zribi, C. Loumagne, P. Ansart, and T. Anguela, Analysis of TerraSAR-X data and their sensitivity to soil surface parameters over bare agricultural fields, Remote Sens. Environ, vol.112, pp.4370-4379, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00473243

T. Van-emmerik, S. C. Steele-dunne, J. Judge, and N. Van-de-giesen, Impact of Diurnal Variation in Vegetation Water Content on Radar Backscatter from Maize During Water Stress, IEEE Trans. Geosci. Remote Sens, vol.53, pp.3855-3869, 2015.

B. Brisco, R. Brown, J. Koehler, G. Sofko, and M. Mckibben, The diurnal pattern of microwave backscattering by wheat, Remote Sens. Environ, vol.34, pp.37-47, 1990.

J. Friesen, S. C. Steele-dunne, and N. Van-de-giesen, Diurnal Differences in Global ERS Scatterometer Backscatter Observations of the Land Surface, IEEE Trans. Geosci. Remote Sens, vol.50, pp.2595-2602, 2012.

P. Tan, M. Steinbach, and V. Kumar, Introduction to Data Mining, 2006.

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