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Evaluation of Two Surface Scattering Models Within the Water Cloud Model Over an Agricultural Area in Mexico and Synergistic Use of Sentinel-1 and Sentinel-2 Images., , , , and . IGARSS, page 3213-3216. IEEE, (2023)Monitoring Vegetation Conditions Over Agricultural Regions Using Active Observations., , , and . IGARSS, page 4351-4354. IEEE, (2020)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)Validation of a Drought Index Based on Smos Soil Moisture Product Over An Agricultural Area in Central Mexico., , , and . IGARSS, page 1335-1338. IEEE, (2021)Understanding Radar Co-Polarized Phase Signatures for Growing Corn At L-Band., , , , and . IGARSS, page 3426-3429. IEEE, (2023)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)