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A new calibration of the effective scattering albedo and soil roughness parameters in the SMOS SM retrieval algorithm.

, , , , , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2017)

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Validation of SMOS L1C and L2 Products and Important Parameters of the Retrieval Algorithm in the Skjern River Catchment, Western Denmark., , and . IEEE Trans. Geosci. Remote. Sens., 51 (5-2): 2969-2985 (2013)A new calibration of the effective scattering albedo and soil roughness parameters in the SMOS SM retrieval algorithm., , , , , , , , , and 2 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2017)SMOS-IC: A revised SMOS product based on a new effective scattering albedo and soil roughness parameterization., , , , , , , , , and 2 other author(s). IGARSS, page 1570-1573. IEEE, (2017)Passive L-Band Microwave Remote Sensing of Organic Soil Surface Layers: A Tower-Based Experiment., , , , , , and . Remote. Sens., 10 (2): 304 (2018)Validation of SMOS Brightness Temperatures During the HOBE Airborne Campaign, Western Denmark., , , and . IEEE Trans. Geosci. Remote. Sens., 50 (5-1): 1468-1482 (2012)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)Analyzing the impact of using the SRP (Simplified roughness parameterization) method on soil moisture retrieval over different regions of the globe., , , , , , , , , and . IGARSS, page 5182-5185. IEEE, (2015)RFI in SMOS measurements: Update on detection, localization, mitigation techniques and preliminary quantified impacts on soil moisture products., , , , , , , , , and 1 other author(s). IGARSS, page 223-226. IEEE, (2014)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)Integrated approach for effective permittivity estimation of multi-layered soils at L-Band., , , , , , and . IGARSS, page 3213-3216. IEEE, (2014)