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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)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)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)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)Synthetic Satellite Observations at C And L Bands for an Agricultural Area in Huamantla, Mexico., , , and . IGARSS, page 2250-2253. IEEE, (2023)Data Assimilation of Remotely Sensed Soil Moisture to Detect Water Stress Periods in Agricultural Areas., , , , , , , and . IGARSS, page 1331-1334. IEEE, (2021)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)A Semi-Empirical Model to Estimate Biophysical Parameters in Southern Mexico., , , , , and . IGARSS, page 5344-5347. IEEE, (2018)Calibration of a SVAT Model in the Central Zone of Mexico with In-Situ Data over a Corn Field Region., , , , and . IGARSS, page 5250-5253. IEEE, (2020)Assessment of The Nasa SMAP Soil Moisture Product Over a Semi-Arid Agricultural Region in Mexico., , , , , , , , , and 3 other author(s). IGARSS, page 2243-2245. IEEE, (2023)