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Merging thermal and microwave satellite observations for a high-resolution soil moisture data product.

, , and . IGARSS, page 4440-4441. IEEE, (2010)

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Impact of Aggregation Rules of Ancillary Parameters on Soil Moisture Retrievals from Space-borne Microwave Radiometer Observations., , and . IGARSS, page 1728-1731. IEEE, (2006)NOAA Satellite Soil Moisture Operational Product System (SMOPS) Version 3.0 Generates Higher Accuracy Blended Satellite Soil Moisture., , and . Remote. Sens., 12 (17): 2861 (2020)Derivation Of Global Surface Type Products From VIIRS., , , and . IGARSS, page 5992-5995. IEEE, (2019)Integration of Satellite-Retrieved Soil Moisture Observations with a Global Two-Layer Soil Moisture Model., , , , and . IGARSS (2), page 559-562. IEEE, (2008)An inter-comparison of soil moisture data products from satellite remote sensing and a land surface model., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Fusing microwave and optical satellite observations for high resolution soil moisture data products., , , , , , , , , and 1 other author(s). IGARSS, page 2519-2522. IEEE, (2017)Merging thermal and microwave satellite observations for a high-resolution soil moisture data product., , and . IGARSS, page 4440-4441. IEEE, (2010)Soil Moisture data product generated from NASA SMAP observations with NOAA ancillary data., , , , , and . IGARSS, page 5237-5240. IEEE, (2016)An Assessment of the Impact of Land Thermal Infrared Observation on Regional Weather Forecasts Using Two Different Data Assimilation Approaches., , , , , and . Remote Sensing, 10 (4): 625 (2018)Refinement of NOAA AMSR-2 Soil Moisture Data Product: 1. Intercomparisons of the Commonly Used Machine-Learning Models., , , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)