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Maps risk generations for volcanic ash monitoring using modis data and its aplication in risk maps for aviation hazard mitigation: Case of study popocatepetl volcano (Mexico)., , and . IGARSS, page 3834-3837. IEEE, (2016)Understanding the dynamic of a tropical forest located in Southern Mexico using remotely sensed data., , , , , , , , , and . IGARSS, page 3826-3829. IEEE, (2016)Downscaling SMAP Soil Moisture Retrievals Over an Agricultural Region in Central Mexico Using Machine Learning., , , and . IGARSS, page 7049-7052. IEEE, (2019)Synergy between COSPEC observations and MODIS images in the monitoring of volcanic SO2., , , and . IGARSS, page 4801-4804. IEEE, (2015)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)Data Assimilation of Remotely Sensed Soil Moisture to Detect Water Stress Periods in Agricultural Areas., , , , , , , and . IGARSS, page 1331-1334. IEEE, (2021)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 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)Simplified model for estimating the backscatter signal at C-band from a tropical forest in Southern Mexico., , , , and . IGARSS, page 114-116. IEEE, (2014)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)