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Considering combined or separated roughness and vegetation effects in soil moisture retrievals.

, , , , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2017)

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Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopting the Microwave Vegetation Index., , , , and . Remote Sensing, 9 (1): 35 (2017)Considering combined or separated roughness and vegetation effects in soil moisture retrievals., , , , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2017)The Added-Value of Satellite Soil Moisture Observations Over Irrigated Areas to Support Land Surface Model Developments., , , , , , , and . IGARSS, page 3715-3718. IEEE, (2018)SMOS-IC: Current Status and Overview of Soil Moisture and VOD Applications., , , , , , , , , and 4 other author(s). IGARSS, page 1451-1453. IEEE, (2018)The Effect of Three Different Data Fusion Approaches on the Quality of Soil Moisture Retrievals from Multiple Passive Microwave Sensors., , , , , , , and . Remote Sensing, 10 (1): 107 (2018)Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data., , , , , , , , , and . Remote Sensing, 8 (11): 959 (2016)Global-Scale Evaluation of Roughness Effects on C-Band AMSR-E Observations., , , , , , , , , and . Remote Sensing, 7 (5): 5734-5757 (2015)SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product., , , , , , , , , and . Remote Sensing, 9 (5): 457 (2017)After Almost 10 Years in Orbit: First Glance at Synergisms and New Results., , , , , , , , , and 1 other author(s). IGARSS, page 6154-6157. IEEE, (2019)Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 Soil Moisture Products at Sites in Southwestern France., , , , , , , , and . Remote Sensing, 10 (4): 569 (2018)