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Burned Area Prediction In Southern Asia Using Machine Learning With Land And Atmospheric Parameters., , , , , , and . IGARSS, page 2930-2933. IEEE, (2023)Improving the Rice Yield Estimation Using SMOS and CYGNSS GNSS-R Data., , , , , and . IGARSS, page 5254-5257. IEEE, (2020)An airborne GNSS-R field experiment over a vineyard for soil moisture estimation and monitoring., , , , , , , and . IGARSS, page 4761-4764. IEEE, (2015)Influence of ice thickness on SMOS and aquarius brightness temperatures over Antarctica., , , , and . IGARSS, page 5178-5181. IEEE, (2015)Influence of Quality Filtering Approaches in BEC SMOS L3 Soil Moisture Products., , , , , , , , and . IGARSS, page 6941-6944. IEEE, (2019)Enhanced SMOS amplitude calibration using external target., , , , , and . IGARSS, page 2868-2871. IEEE, (2012)Sensitivity of GNSS-R Spaceborne Observations to Soil Moisture and Vegetation., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (10): 4730-4742 (2016)Incidence Angle Diversity on L-Band Microwave Radiometry and Its Impact on Consistent Soil Moisture Retrievals., , , , , and . IGARSS, page 6186-6189. IEEE, (2021)Surface Soil Moisture Estimation from Modis Apparent Thermal Inertia: A Comparison With Smos And Smap Soil Moisture Products., , , , , and . IGARSS, page 80-83. IEEE, (2018)Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission., , , , and . Remote. Sens., 13 (7): 1366 (2021)