. Fao, . Fao-rice-market, and . Monitor, , vol.XXI, 2018.

S. Delmotte, P. Tittonell, J. Mouret, R. Hammond, and S. Lopez-ridaura, On farm assessment of rice yield variability and productivity gaps between organic and conventional cropping systems under Mediterranean climate, Eur. J. Agron, vol.35, pp.223-236, 2011.

M. El-hajj, N. Baghdadi, M. Zribi, G. Belaud, B. Cheviron et al., Soil moisture retrieval over irrigated grassland using X-band SAR data, Remote Sens. Environ, vol.176, pp.202-218, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01336862

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

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

A. Nasrallah, N. Baghdadi, M. Mhawej, G. Faour, T. Darwish et al., A Novel Approach for Mapping Wheat Areas Using High Resolution Sentinel-2 Images, Sensors, vol.18, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01900533

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, 2013.
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

X. Xiao, S. Boles, J. Liu, D. Zhuang, S. Frolking et al., Mapping paddy rice agriculture in southern China using multi-temporal MODIS images, Remote Sens. Environ, vol.95, pp.480-492, 2005.

N. Son, C. Chen, C. Chen, H. Duc, and L. Chang, A Phenology-Based Classification of Time-Series MODIS Data for Rice Crop Monitoring in Mekong Delta, vol.6, pp.135-156, 2013.

T. Sakamoto, D. S. Sprague, K. Okamoto, and N. Ishitsuka, Semi-automatic classification method for mapping the rice-planted areas of Japan using multi-temporal Landsat images, Remote Sens. Appl. Soc. Environ, vol.10, pp.7-17, 2018.

X. Zhang, B. Wu, G. Ponce-campos, M. Zhang, S. Chang et al., Mapping up-to-Date Paddy Rice Extent at 10 M Resolution in China through the Integration of Optical and Synthetic Aperture Radar Images, Remote Sens, vol.10, 1200.

K. Clauss, H. Yan, and C. Kuenzer, Mapping Paddy Rice in China in 2002, MODIS Time Series, 2005.

P. Li, C. Xiao, and Z. Feng, Mapping Rice Planted Area Using a New Normalized EVI and SAVI (NVI) Derived from Landsat-8 OLI, IEEE Geosci. Remote Sens. Lett, vol.99, pp.1-5, 2018.

L. Wang, J. A. Kong, K. H. Ding, T. Le-toan, F. Ribbes et al., Electromagnetic scattering model for rice canopy based on monte carlo simulation, Prog. Electromagn. Res, vol.52, pp.153-171, 2005.

A. Bouvet and T. Le-toan, Use of ENVISAT/ASAR wide-swath data for timely rice fields mapping in the Mekong River Delta, Remote Sens. Environ, vol.115, pp.1090-1101, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00563142

D. Nguyen, K. Clauss, S. Cao, V. Naeimi, C. Kuenzer et al., Mapping Rice Seasonality in the Mekong Delta with Multi-Year Envisat ASAR WSM Data. Remote Sens, vol.7, pp.15868-15893, 2015.

J. M. Lopez-sanchez, J. D. Ballester-berman, and I. Hajnsek, First Results of Rice Monitoring Practices in Spain by Means of Time Series of TerraSAR-X Dual-Pol Images, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.4, pp.412-422, 2011.

Y. Shao, X. Fan, H. Liu, J. Xiao, S. Ross et al., Rice monitoring and production estimation using multitemporal RADARSAT, Remote Sens. Environ, vol.76, pp.310-325, 2001.

A. Nelson, T. Setiyono, A. Rala, E. Quicho, J. Raviz et al., Towards an Operational SAR-Based Rice Monitoring System in Asia: Examples from 13 Demonstration Sites across Asia in the RIICE Project, vol.6, pp.10773-10812, 2014.

D. B. Nguyen, A. Gruber, and W. Wagner, Mapping rice extent and cropping scheme in the Mekong Delta using Sentinel-1A data, Remote Sens. Lett, vol.7, pp.1209-1218, 2016.

K. Clauss, M. Ottinger, P. Leinenkugel, and C. Kuenzer, Estimating rice production in the Mekong Delta, Vietnam, utilizing time series of Sentinel-1 SAR data, Int. J. Appl. Earth Obs. Geoinf, vol.73, pp.574-585, 2018.

G. Forino, F. Nunziata, L. Mascolo, G. Pugliano, and M. Migliaccio, Rice Mapping and Sowing Date Estimation Using CSK SAR Data, Proceedings of the 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI), pp.1-4, 2018.

K. Lasko, K. P. Vadrevu, V. T. Tran, and C. Justice, Mapping Double and Single Crop Paddy Rice with Sentinel-1A at Varying Spatial Scales and Polarizations in Hanoi, Vietnam, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.11, pp.498-512, 2018.

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

M. Schwerdt, K. Schmidt, N. Tous-ramon, P. Klenk, N. Yague-martinez et al., Independent System Calibration of Sentinel-1B

S. Quegan and J. J. Yu, Filtering of multichannel SAR images, IEEE Trans. Geosci. Remote Sens, vol.39, pp.2373-2379, 2001.

J. R. Landis and G. G. Koch, The measurement of observer agreement for categorical data, Biometrics, vol.33, pp.159-174, 1977.

T. Fawcett, An introduction to ROC analysis, Pattern Recognit. Lett, vol.27, pp.861-874, 2006.

L. Mansaray, W. Huang, D. Zhang, J. Huang, and J. Li, Using Sentinel-1A and Landsat 8 Datasets

M. Zhang, H. Lin, G. Wang, H. Sun, and J. Fu, Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China. Remote Sens, vol.10, 1840.

S. Park, J. Im, S. Park, C. Yoo, H. Han et al., Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data, Remote Sens, vol.10, p.447, 2018.

Y. Zhang, C. Wang, J. Wu, J. Qi, and W. A. Salas, Mapping paddy rice with multitemporal ALOS/PALSAR imagery in southeast China, Int. J. Remote Sens, vol.30, pp.6301-6315, 2009.

K. Clauss, M. Ottinger, and C. Kuenzer, Mapping rice areas with Sentinel-1 time series and superpixel segmentation, Int. J. Remote Sens, vol.39, pp.1399-1420, 2018.