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Validation and Parameter Sensitivity Tests for Reconstructing Swell Field Based on an Ensemble Kalman Filter., , , , , and . Sensors, 16 (12): 2000 (2016)Perspectives for combining and exploiting ocean wave spectra measured from different space missions., , , , , , , and . IGARSS, page 5816-5819. IEEE, (2016)Taking advantage of Sentinel-1 acquisition modes to improve ocean sea state retrieval., , , , , , , , , and 1 other author(s). IGARSS, page 3886-3889. IEEE, (2016)Dynamic Validation of Ocean Swell Derived from Sentinel-1 Wave Mode Against Buoys., , , and . IGARSS, page 3223-3226. IEEE, (2018)The Sentinel-1A instrument and operational product performance status., , , , , , , , , and 3 other author(s). IGARSS, page 2824-2827. IEEE, (2015)Sentinel-1 Achievements for Ocean and Extreme Events Monitoring., , , , , , , , , and 1 other author(s). IGARSS, page 1573-1576. IEEE, (2018)Fuzzy Logic Applied to Track Generation Areas of Swell Systems Observed by SAR., , , , and . IEEE Geosci. Remote. Sens. Lett., 9 (5): 841-845 (2012)A global distribution of crossing swell from Envisat ASAR Wave Mode data based on swell propagation., , , , and . IGARSS, page 4657-4660. IEEE, (2016)Co-Cross Polarization Coherence Over Sea Surface from Sentinel-1 Data: Perspectives for Mission Calibration and Wind Field Retrieval., , , , and . IGARSS, page 4681-4684. IEEE, (2019)Co-Cross-Polarization Coherence Over the Sea Surface From Sentinel-1 SAR Data: Perspectives for Mission Calibration and Wind Field Retrieval., , , and . IEEE Trans. Geosci. Remote. Sens., (2022)