Assessment of NASA SMAP Soil Moisture Products for Agricultural Regions in Central Mexico: An Analysis Based on the THEXMEX Dataset-Reference-Cited by-同舟云学术

Assessment of NASA SMAP Soil Moisture Products for Agricultural Regions in Central Mexico: An Analysis Based on the THEXMEX Dataset

Published:2022 Issue: Volume:15 Page:3421-3443
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Monsivais-Huertero Alejandro¹^ORCID,Constantino-Recillas Daniel Enrique²,Hernandez-Sanchez Juan Carlos²,Huerta-Batiz Hector Ernesto¹,Judge Jasmeet³^ORCID,Lopez-Estrada Pedro Alejandro⁴,Jimenez-Escalona Jose Carlos⁵,Arizmendi-Vasconcelos Eduardo⁵,Garcia-Bernal Marco Antonio¹,Zambrano-Gallardo Cira Francisca¹,Lopez-Caloca Alejandra Aurelia⁶^ORCID,Zempoaltecatl-Ramirez Enrique¹,Rosa-Montero Ivan Edmundo De la¹,Villalobos-Martinez Roberto Ivan¹,Aparicio-Garcia Ramon Sidonio¹,Sanchez-Villanueva Carlos Rodolfo¹,Arizmendi-Vasconcelos Leonardo¹,Cotero-Manzo Roberto¹,Puebla-Lomas Jaime Hugo⁴,Sauce-Rangel Victor Manuel¹

Affiliation:

1. Laboratorio de Investigación y Aplicaciones en Percepción Remota Espacial, ESIME Ticomán, Instituto Politécnico Nacional, Mexico City, Mexico

2. ESIME Ticomán and ESIME Zacatenco, Instituto Politécnico Nacional, Mexico City, Mexico

3. Center for Remote Sensing, Agricultural and Biological Engineering Department, The University of Florida, Gainesville, FL, USA

4. ESCOM, Instituto Politécnico Nacional, Mexico City, Mexico

5. ESIME Ticomán, Instituto Politécnico Nacional, Mexico City, Mexico

6. Centro de Investigación en Ciencias de Información Geoespacial, Mexico City, Mexico

Funder

Agencia Espacial Mexicana

Consejo Nacional de Ciencia y Tecnología of Mexico

Instituto Politécnico Nacional of Mexico

NASA-Terrestrial Hydrology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09751405.pdf?arnumber=9751405

Reference66 articles.

1. Estimating vegetation water content during the soil moisture active passive validation experiment;cosh;J Appl Remote Sens,0

2. Field observations during the eleventh microwave water and energy balance experiment (MicroWEX-11): From Apr. 25, 2012 through December, 2012;bongiovanni,2015

3. The Thexmex-18 Dataset: Understanding the Soil and Vegetation Dynamics of Agricultural Fields in Central Mexico from L-Band SMAP Observations

4. Upscaling sparse ground-based soil moisture observations for the validation of coarse-resolution satellite soil moisture products

5. The Texas Soil Observation Network:A Comprehensive Soil Moisture Dataset for Remote Sensing and Land Surface Model Validation

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of Backscattering Models at C-Band for Corn Fields;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Effects of Spatial Heterogeneity on Satellite Soil Moisture Products;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Predicting C-band backscattering coefficient using the water cloud model and optical vegetation indices;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Estimation of Vegetation Opacity Using SMAP TB Observations Over a Semi-Arid Agricultural Region;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. Deploying an energy efficient, secure & high-speed sidechain-based TinyML model for soil quality monitoring and management in agriculture;Expert Systems with Applications;2024-05