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Comparison of Dobson and Mironov Dielectric Models in the SMOS Soil Moisture Retrieval Algorithm., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 53 (6): 3084-3094 (2015)Considering combined or separated roughness and vegetation effects in soil moisture retrievals., , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2017)Soil moisture and vegetation optical depth retrievals over heterogeneous scenes using LEWIS L-band radiometer., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Global maps of roughness parameters from L-band SMOS observations., , , , , , , , , and . IGARSS, page 4675-4678. IEEE, (2014)SMOS-IC: Current Status and Overview of Soil Moisture and VOD Applications., , , , , , , , , and 4 other author(s). IGARSS, page 1451-1453. IEEE, (2018)SMOS-HR: A High Resolution L-Band Passive Radiometer for Earth Science and Applications., , , , , , , , , and 12 other author(s). IGARSS, page 8392-8395. IEEE, (2019)First glance on a revised SMOS soil moisture retrieval algorithm: Evaluation with respect to ECMWF soil moisture simulations., , , , , , and . IGARSS, page 1566-1569. IEEE, (2017)Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data., , , , , , , , , and . Remote. Sens., 8 (11): 959 (2016)SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product., , , , , , , , , and . Remote. Sens., 9 (5): 457 (2017)Evaluating the L-MEB Model From Long-Term Microwave Measurements Over a Rough Field, SMOSREX 2006., , , , and . IEEE Trans. Geosci. Remote. Sens., 50 (5-1): 1458-1467 (2012)