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A synergy between SMOS & AQUARIUS: Resampling SMOS maps at the resolution and incidence of AQUARIUS.

, , , , and . IGARSS, page 4142-4145. IEEE, (2011)

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Impact of Direct Solar Radiations Seen by the Back-Lobes Antenna Patterns of SMOS on the Retrieved Images., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 10 (7): 3079-3086 (2017)SMOS instrument performance and calibration after 6 years in orbit., , , , , , , , , and 12 other author(s). IGARSS, page 2040-2042. IEEE, (2016)Effect of the Polarization Leakage on the SMOS Image Reconstruction Algorithm: Validation Using Ocean Model and In Situ Soil Moisture Data., , , , and . IEEE Trans. Geosci. Remote. Sens., 53 (9): 4961-4971 (2015)A New Direct Sun Correction Algorithm for the Soil Moisture and Ocean Salinity Space Mission., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)After Almost 10 Years in Orbit: First Glance at Synergisms and New Results., , , , , , , , , and 1 other author(s). IGARSS, page 6154-6157. IEEE, (2019)Soil moisture retrieval from SMOS observations using neural networks., , , , , , , , and . IGARSS, page 2431-2434. IEEE, (2014)Optimizing the algorithm for retrieving soil moisture from SMOS data., , , , , , , , , and . IGARSS, page 3952-3954. IEEE, (2007)An RFI Index to Quantify the Contamination of SMOS Data by Radio-Frequency Interference., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (4): 1577-1589 (2016)Absolute calibration of VEGETATION derived from an interband method based on the Sun glint over ocean., , , , and . IEEE Trans. Geosci. Remote. Sens., 42 (7): 1472-1481 (2004)Localization of RFI Sources for the SMOS Mission: A Means for Assessing SMOS Pointing Performances., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (2): 617-627 (2015)