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Benefit of modeling the observation error in a data assimilation framework using vegetation information obtained from passive-based microwave data.

, , , and . IGARSS, page 5325-5326. IEEE, (2016)

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Assimilation of remotely sensed soil moisture into a hydrologic model., and . IGARSS, page 1874-1876. IEEE, (2004)Microwave remote sensing: a perspective from the last few field experiments., , and . IGARSS, IEEE, (2004)Evaluating the application of microwave-based vegetation observations in an operational soil moisture data assimilation system., , , and . IGARSS, page 5190-5193. IEEE, (2015)Assessment of the Biomass Productivity Decline in the Lower Mekong Basin., , and . Remote Sensing, 11 (23): 2796 (2019)Web-based decision support system tools: The Soil and Water Assessment Tool Online visualization and analyses (SWATOnline) and NASA earth observation data downloading and reformatting tool (NASAaccess)., , , , , , , , and . Environ. Model. Softw., (2019)Toward operational validation systems for global satellite-based terrestrial essential climate variables., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Intercomparison of Soil Moisture, Evaporative Stress, and Vegetation Indices for Estimating Corn and Soybean Yields Over the U.S., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (4): 1328-1343 (2017)Integration of Satellite-Retrieved Soil Moisture Observations with a Global Two-Layer Soil Moisture Model., , , , and . IGARSS (2), page 559-562. IEEE, (2008)Leveraging the Google Earth Engine for Drought Assessment Using Global Soil Moisture Data., , and . Remote. Sens., 10 (8): 1265 (2018)Enhancing the USDA FAS Crop Forecasting System Using SMAP L3 Soil Moisture Observations., , , and . IGARSS, page 5375-5377. IEEE, (2018)