Enrique Constantino-Recillas

Orcid: 0000-0001-9806-9329

According to our database1, Enrique Constantino-Recillas authored at least 19 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
Assessment of Surface Scattering Models Within the Water Cloud Model Toward Soil Moisture Retrievals Using Sentinel-1 and Sentinel-2 Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024


Predicting C-band backscattering coefficient using the water cloud model and optical vegetation indices.
Proceedings of the IGARSS 2024, 2024

Computational methods to retrieve soil moisture using remote sensing data: A review.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

2023

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.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Synthetic Satellite Observations at C And L Bands for an Agricultural Area in Huamantla, Mexico.
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 a Coherent Model Using C-Band over Cornfields in Mexico.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Data Assimilation of Remotely Sensed Soil Moisture to Detect Water Stress Periods in Agricultural Areas.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Validation of Microwave Models to Identify Extreme Conditions in Mexican Ecosystems.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Calibration of a SVAT Model in the Central Zone of Mexico with In-Situ Data over a Corn Field Region.
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

2018
A Semi-Empirical Model to Estimate Biophysical Parameters in Southern Mexico.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

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


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