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The Effect of Three Different Data Fusion Approaches on the Quality of Soil Moisture Retrievals from Multiple Passive Microwave Sensors.

, , , , , , , and . Remote Sensing, 10 (1): 107 (2018)

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Soil Moisture Remote Sensing for Numerical Weather Prediction: L-Band and C-Band Emission Modeling Over Land Surfaces, the Community Microwave Emission Model (CMEM)., , , , , , , , and . IGARSS (2), page 563-566. IEEE, (2008)Clarifications on the "Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S."., , , , , , , , , and 7 other author(s). IEEE Trans. Geosci. Remote. Sens., 52 (3): 1901-1906 (2014)The Effect of Three Different Data Fusion Approaches on the Quality of Soil Moisture Retrievals from Multiple Passive Microwave Sensors., , , , , , , and . Remote Sensing, 10 (1): 107 (2018)L-Band Relative Permittivity of Organic Soil Surface Layers - A New Dataset of Resonant Cavity Measurements and Model Evaluation., , , , , , and . Remote Sensing, 8 (12): 1024 (2016)A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance., , , , , , , , , and 1 other author(s). Remote. Sens., 11 (16): 1840 (2019)Correction: Balsamo, G., et al. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. Remote Sensing 2018, 10, 2038., , , , , , , , , and 36 other author(s). Remote. Sens., 11 (8): 941 (2019)Constraining Terrestrial Carbon Fluxes Through Assimilation of SMOS Products., , , , , , , , , and 3 other author(s). IGARSS, page 1455-1458. IEEE, (2018)Lessons learnt from SMOS after 7 years in orbit., , , , , , , , , and 18 other author(s). IGARSS, page 255-258. IEEE, (2017)Fluorescence Imaging Spectrometer (FLORIS) for ESA FLEX Mission., , , , , and . Remote Sensing, 9 (7): 649 (2017)SMOS Neural Network Soil Moisture Data Assimilation., , , , , , , and . IGARSS, page 5548-5551. IEEE, (2018)