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Physics-Based Modeling of Active and Passive Microwave Covariations Over Vegetated Surfaces.

, , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (2): 788-802 (2019)

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Estimation of Vegetation Structure Parameters From SMAP Radar Intensity Observations., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 59 (1): 151-167 (2021)Validation of Soil Moisture Data Products From the NASA SMAP Mission., , , , , , , , , and 38 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Uncertainty Estimates in the SMAP Combined Active-Passive Downscaled Brightness Temperature., , , , and . IEEE Trans. Geosci. Remote. Sens., 54 (2): 640-650 (2016)Tests of the SMAP Combined Radar and Radiometer Algorithm Using Airborne Field Campaign Observations and Simulated Data., , , , , and . IEEE Trans. Geosci. Remote. Sens., 52 (4): 2018-2028 (2014)Physics-Based Modeling of Active and Passive Microwave Covariations Over Vegetated Surfaces., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (2): 788-802 (2019)Active-Passive Disaggregation of Brightness Temperatures During the SMAPVEX12 Campaign., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 54 (12): 6859-6867 (2016)Intercomparisons of Brightness Temperature Observations Over Land From AMSR-E and WindSat., , , , and . IEEE Trans. Geosci. Remote. Sens., 52 (1): 452-464 (2014)How Satellite Soil Moisture Data Can Help to Monitor the Impacts of Climate Change: SMAP Case Studies., , , , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)