Juan Carlos Hernández-Sánchez
Orcid: 0000-0002-7292-0944Affiliations:
- Instituto Politécnico Nacional, Mexico City, Mexico
According to our database1,
Juan Carlos Hernández-Sánchez
authored at least 12 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
Assessment of The Nasa SMAP Soil Moisture Product Over a Semi-Arid Agricultural Region in Mexico.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
High Spatial Resolution of Soil Moisture Using Bagged Regression Trees and Spatio-Temporal Correlations from SMAP L2 Products.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Assessment of NASA SMAP Soil Moisture Products for Agricultural Regions in Central Mexico: An Analysis Based on the THEXMEX Dataset.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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.
Int. J. Digit. Earth, 2022
Assessment of Soil Moisture Retrievals over a Mexican Agricultural Area Using Brightness Temperature of RSIR Products.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Identification of Drought Periods in Agricultural Areas Using Enhanced SMAP Brightness Temperature Product.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Comparison of SMAP Retrieval Soil Moisture Level 2 Product with in Situ Measurements Over Corn Fields in Central Mexico.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Understanding the Backscattering from Sentinel-1 Over a Growing Season of Corn in Central Mexico Using the Thexmex Datasets.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
High-Resolution Soil Moisture Estimates Using C- and L-Band Active Passive Observations and The Thex-Mex'15 Dataset.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
The Thexmex-18 Dataset: Understanding the Soil and Vegetation Dynamics of Agricultural Fields in Central Mexico from L-Band SMAP Observations.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Downscaling SMAP Soil Moisture Retrievals Over an Agricultural Region in Central Mexico Using Machine Learning.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2016
Understanding the dynamic of a tropical forest located in Southern Mexico using remotely sensed data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016