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Assessing the SMOS Soil Moisture Retrieval Parameters With High-Resolution NAFE'06 Data.

, , , , and . IEEE Geosci. Remote. Sens. Lett., 6 (4): 635-639 (2009)

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Downscaling SMOS derived soil moisture for very wet conditions using a physically based approach., , , , , and . IGARSS, page 3198-3201. IEEE, (2014)Evapotranspiration and Evaporation/Transpiration Retrieval Using Dual-Source Surface Energy Balance Models Integrating VIS/NIR/TIR Data with Satellite Surface Soil Moisture Information., , , , , , and . IGARSS, page 6283-6286. IEEE, (2019)Improved Understanding of Soil Surface Roughness Parameterization for L-Band Passive Microwave Soil Moisture Retrieval., , and . IEEE Geosci. Remote. Sens. Lett., 6 (4): 625-629 (2009)Can We Use Satellite-Based Soil-Moisture Products at High Resolution to Investigate Land-Use Differences and Land-Atmosphere Interactions? A Case Study in the Savanna., , , , , , , , , and 4 other author(s). Remote. Sens., 12 (11): 1701 (2020)A combined modeling and multispectral/multiresolution remote sensing approach for disaggregation of surface soil moisture: application to SMOS configuration., , , , and . IEEE Trans. Geosci. Remote. Sens., 43 (9): 2036-2050 (2005)Evaluation and Aggregation Properties of Thermal Infra-Red-Based Evapotranspiration Algorithms from 100 m to the km Scale over a Semi-Arid Irrigated Agricultural Area., , , , , , , , and . Remote. Sens., 9 (11): 1178 (2017)Combining L-Band Radar and Smos L-Band Vod for High Resolution Estimation of Biomass., , , , , , and . IGARSS, page 5508-5511. IEEE, (2019)Irrigation Water Retrieval Through Data Assimilation of Surface Soil Moisture into the FAO-56 Approach in the South Mediterranean Region., , , , and . IGARSS, page 6088-6091. IEEE, (2021)Combining a Two Source Energy Balance Model Driven by MODIS and MSG-SEVIRI Products with an Aggregation Approach to Estimate Turbulent Fluxes over Sparse and Heterogeneous Vegetation in Sahel Region (Niger)., , , , , , , , , and . Remote. Sens., 10 (6): 974 (2018)On the Utility of High-Resolution Soil Moisture Data for Better Constraining Thermal-Based Energy Balance over Three Semi-Arid Agricultural Areas., , , , , , , , and . Remote. Sens., 13 (4): 727 (2021)