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A Time-Series Approach to Estimating Soil Moisture From Vegetated Surfaces Using L-Band Radar Backscatter.

, , , , , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 55 (6): 3186-3193 (2017)

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High-resolution enhanced product based on SMAP active-passive approach using Sentinel 1 data and its applications., , , , , , and . IGARSS, page 2493-2494. IEEE, (2017)A robust algorithm for soil moisture retrieval from the soil Moisture Active Passive mission radar observations., , , and . IGARSS, page 45-48. IEEE, (2013)Coherent Model of L-Band Radar Scattering by Soybean Plants: Model Development, Evaluation, and Retrieval., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (1): 272-284 (2016)Effects of Antenna Cross-Polarization Coupling on the Brightness Temperature Retrieval at L-Band., , and . IEEE Trans. Geosci. Remote. Sens., 49 (5): 1637-1648 (2011)Soil Moisture Retrieval Using L-Band SAR Over Landslide Regions in Northern California Grasslands., , , and . IGARSS, page 5881-5883. IEEE, (2021)Sentinel-1 high resolution soil moisture., , , , , , , , , and 17 other author(s). IGARSS, page 5533-5536. IEEE, (2017)High Resolution Soil Moisture Product Based on Smap Active-Passive Approach Using Copernicus Sentinel 1 Data., , , , , , , , , and . IGARSS, page 3768-3770. IEEE, (2018)A Time-Series Approach to Estimating Soil Moisture From Vegetated Surfaces Using L-Band Radar Backscatter., , , , , , , , , and 2 other author(s). IEEE Trans. Geosci. Remote. Sens., 55 (6): 3186-3193 (2017)Estimation of the ocean current velocities from radar altimetry and applications to the North Pacific Ocean.. IGARSS, page 5416-5419. IEEE, (2005)Microwave covariation modeling and retrieval for the dual-frequency active-passive combination of sentinel-1 and SMAP., , , , , , and . IGARSS, page 3996-3999. IEEE, (2017)