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A First Assessment of the SMOS Soil Moisture Product With In Situ and Modeled Data in Italy and Luxembourg.

, , , , , , and . IEEE Trans. Geosci. Remote. Sens., 50 (5-1): 1612-1622 (2012)

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Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter., , , , , , , and . Remote. Sens., 13 (6): 1153 (2021)Probabilistic mapping of flood-induced backscatter changes in SAR time series., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2017)Assessment of Sentinel-1-Estimated Sea Surface Convective wind Gusts with in-situ wind Measurements., , , , , and . IGARSS, page 841-844. IEEE, (2023)Exploiting Sentinel 1 data for improving (flash) flood modelling via data assimilation techniques., , , , , , , , , and . IGARSS, page 4939-4942. IEEE, (2017)A multi-sensor (SMOS, AMSR-E and ASCAT) satellite-based soil moisture products inter-comparison., , , , , , and . IGARSS, page 1135-1138. IEEE, (2012)Flood hazard mapping combining high resolution multi-temporal SAR data and coarse resolution global hydrodynamic modelling., , , , , and . IGARSS, page 2394-2396. IEEE, (2014)Support for Multi-temporal and Multi-mission data processing: The ESA Research and Service Support., , , , , , , and . MultiTemp, page 1-4. IEEE, (2017)On the Use of Native Resolution Backscatter Intensity Data for Optimal Soil Moisture Retrieval., , , , , and . IEEE Geosci. Remote. Sens. Lett., (2023)Large-Scale Automatic Vessel Monitoring Based on Dual-Polarization Sentinel-1 and AIS Data., , , , , , , and . Remote. Sens., 11 (9): 1078 (2019)Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data., , , , and . Remote. Sens., 7 (10): 14200-14226 (2015)