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Assessment of Soil Moisture Retrievals over a Mexican Agricultural Area Using Brightness Temperature of RSIR Products., , and . IGARSS, page 5121-5124. IEEE, (2022)Understanding the Backscattering from Sentinel-1 Over a Growing Season of Corn in Central Mexico Using the Thexmex Datasets., , , , , , , , , and 6 other author(s). IGARSS, page 4526-4529. IEEE, (2020)High-Resolution Soil Moisture Estimates Using C- and L-Band Active Passive Observations and The Thex-Mex'15 Dataset., , , and . IGARSS, page 7089-7092. IEEE, (2019)The Thexmex-18 Dataset: Understanding the Soil and Vegetation Dynamics of Agricultural Fields in Central Mexico from L-Band SMAP Observations., , , , , , , , , and 3 other author(s). IGARSS, page 6190-6193. IEEE, (2019)Downscaling SMAP Soil Moisture Retrievals Over an Agricultural Region in Central Mexico Using Machine Learning., , , and . IGARSS, page 7049-7052. IEEE, (2019)Tableaux for Some Modal-Tense Logics Graham Priest's Fashion.. Stud Logica, 110 (3): 745-784 (2022)Understanding root-zone soil moisture in agricultural regions of Central Mexico using the ensemble Kalman filter, satellite-derived information, and the THEXMEX-18 dataset., , , , , and . Int. J. Digit. Earth, 15 (1): 52-78 (2022)High Spatial Resolution of Soil Moisture Using Bagged Regression Trees and Spatio-Temporal Correlations from SMAP L2 Products., , and . IGARSS, page 3198-3201. IEEE, (2023)Comparison of SMAP Retrieval Soil Moisture Level 2 Product with in Situ Measurements Over Corn Fields in Central Mexico., , , and . IGARSS, page 4727-4730. IEEE, (2020)Assessment of NASA SMAP Soil Moisture Products for Agricultural Regions in Central Mexico: An Analysis Based on the THEXMEX Dataset., , , , , , , , , and 10 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)