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Deep Recurrent Neural Networks for mapping winter vegetation quality coverage via multi-temporal SAR Sentinel-1.

, , , , , , and . CoRR, (2017)

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Deep Recurrent Neural Network for Agricultural Classification using multitemporal SAR Sentinel-1 for Camargue, France., , , , and . Remote Sensing, 10 (8): 1217 (2018)Comparison of Two Modeling Approaches to Simulate Rice Production in the Camargue Region Using Sentinel 2 Data., , , , , , , and . IGARSS, page 7243-7246. IEEE, (2019)Estimation of Rice Height and Biomass Using Multitemporal SAR Sentinel-1 for Camargue, Southern France., , , , , , and . Remote Sensing, 10 (9): 1394 (2018)Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France., , , , , , , and . Remote Sensing, 11 (7): 887 (2019)Assessment of Agricultural Practices from Sentinel 1 & 2 Images Applied on Rice Fields to Get A Farm Typology in the Camargue Region., , , , , , and . IGARSS, page 7152-7155. IEEE, (2019)Deep Recurrent Neural Networks for Winter Vegetation Quality Mapping via Multitemporal SAR Sentinel-1., , , , , , and . IEEE Geosci. Remote. Sens. Lett., 15 (3): 464-468 (2018)Deep Recurrent Neural Networks for mapping winter vegetation quality coverage via multi-temporal SAR Sentinel-1., , , , , , and . CoRR, (2017)