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Distilling Before Refine: Spatio-Temporal Transfer Learning for Mapping Irrigated Areas Using Sentinel-1 Time Series.

, , , , and . IEEE Geosci. Remote. Sens. Lett., 17 (11): 1909-1913 (2020)

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Distilling Before Refine: Spatio-Temporal Transfer Learning for Mapping Irrigated Areas Using Sentinel-1 Time Series., , , , and . IEEE Geosci. Remote. Sens. Lett., 17 (11): 1909-1913 (2020)Near Real-Time Irrigation Detection at Plot Scale Using Sentinel-1 Data., , , , , and . Remote. Sens., 12 (9): 1456 (2020)Synergic Use of Sentinel-1 and Sentinel-2 Images for Operational Soil Moisture Mapping at High Spatial Resolution over Agricultural Areas., , , and . Remote. Sens., 9 (12): 1292 (2017)Detecting Irrigation Events Over Several Summer Crops Using Sentinel-1 Data., , , , , , , and . IGARSS, page 2839-2842. IEEE, (2023)Analysis of Sentinel-1 Derived Soil Moisture Maps Over Occitanie, South France., , , and . IGARSS, page 6275-6278. IEEE, (2019)New processes for highly integrated planar microwave circuits-applications to active filters for telecommunication systems., , , , , , and . PIMRC, page 1868-1871. IEEE, (2002)Penetration Analysis of SAR Signals in the C and L Bands for Wheat, Maize, and Grasslands., , , and . Remote. Sens., 11 (1): 31 (2019)Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France., , , , , , , and . Remote. Sens., 11 (7): 887 (2019)Vision Transformers, a new approach for high-resolution and large-scale mapping of canopy heights., , , , , , , , , and 1 other author(s). CoRR, (2023)A Comparison of Two Soil Moisture Products S2MP and Copernicus-SSM Over Southern France., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 12 (9): 3366-3375 (2019)