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

Hector Ernesto Huerta-Batiz; Daniel Enrique Constantito-Recillas; Alejandro Monsivais-Huertero; Aura Citlalli Torres-Gomez; Jasmeet Judge

doi:10.1109/IGARSS39084.2020.9323384

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

Hector Ernesto Huerta-Batiz, Daniel Enrique Constantito-Recillas, Alejandro Monsivais-Huertero, Aura Citlalli Torres-Gomez, Jasmeet Judge

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Ticomán

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Resumen

Integrate information of soil moisture obtained through available satellite observations with low implementation cost can help to guarantee food security and sovereignty in Mexican production. With few reliable databases of the behavior of soil moisture during the growth of corn and other crops, the validation of satellite retrievals with Mexican field campaigns it is necessary. In this study, we present the calibration of a SVAT-LSP model during a complete growing season over a corn region in Central Mexico. In-situ soil moisture values and SVAT-LSP estimates of soil moisture were also compared with the SMAP L2SM product. The calibration of the SVAT-LSP model was carried out using the Monte Carlo methodology. The surface soil moisture from the calibrated SVAT-LSP model show an RMSE of 0.0258 m³/m³ when compared with in-situ values. In contrast, an RMSE of 0.1331 m³/m³ was obtained between in-situ values and SMAP L2SM retrievals.

Idioma original	Inglés
Título de la publicación alojada	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	5250-5253
Número de páginas	4
ISBN (versión digital)	9781728163741
DOI	https://doi.org/10.1109/IGARSS39084.2020.9323384
Estado	Publicada - 26 sep. 2020
Evento	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, Estados Unidos Duración: 26 sep. 2020 → 2 oct. 2020

Serie de la publicación

Nombre	International Geoscience and Remote Sensing Symposium (IGARSS)

Conferencia

Conferencia	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
País/Territorio	Estados Unidos
Ciudad	Virtual, Waikoloa
Período	26/09/20 → 2/10/20

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/IGARSS39084.2020.9323384

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Huerta-Batiz, H. E., Constantito-Recillas, D. E., Monsivais-Huertero, A., Torres-Gomez, A. C., & Judge, J. (2020). Calibration of a SVAT Model in the Central Zone of Mexico with In-Situ Data over a Corn Field Region. En 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings (pp. 5250-5253). Artículo 9323384 (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS39084.2020.9323384

Huerta-Batiz, Hector Ernesto ; Constantito-Recillas, Daniel Enrique ; Monsivais-Huertero, Alejandro et al. / Calibration of a SVAT Model in the Central Zone of Mexico with In-Situ Data over a Corn Field Region. 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 5250-5253 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{9cd5b01aac5c4f30906dae7e60617907,

title = "Calibration of a SVAT Model in the Central Zone of Mexico with In-Situ Data over a Corn Field Region",

abstract = "Integrate information of soil moisture obtained through available satellite observations with low implementation cost can help to guarantee food security and sovereignty in Mexican production. With few reliable databases of the behavior of soil moisture during the growth of corn and other crops, the validation of satellite retrievals with Mexican field campaigns it is necessary. In this study, we present the calibration of a SVAT-LSP model during a complete growing season over a corn region in Central Mexico. In-situ soil moisture values and SVAT-LSP estimates of soil moisture were also compared with the SMAP L2SM product. The calibration of the SVAT-LSP model was carried out using the Monte Carlo methodology. The surface soil moisture from the calibrated SVAT-LSP model show an RMSE of 0.0258 m3/m3 when compared with in-situ values. In contrast, an RMSE of 0.1331 m3/m3 was obtained between in-situ values and SMAP L2SM retrievals.",

keywords = "Calibration, LSP, SMAP, Soil Moisture, THEx MEx, in-situ campaign",

author = "Huerta-Batiz, {Hector Ernesto} and Constantito-Recillas, {Daniel Enrique} and Alejandro Monsivais-Huertero and Torres-Gomez, {Aura Citlalli} and Jasmeet Judge",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 ; Conference date: 26-09-2020 Through 02-10-2020",

year = "2020",

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doi = "10.1109/IGARSS39084.2020.9323384",

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series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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Huerta-Batiz, HE, Constantito-Recillas, DE, Monsivais-Huertero, A, Torres-Gomez, AC & Judge, J 2020, Calibration of a SVAT Model in the Central Zone of Mexico with In-Situ Data over a Corn Field Region. En 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings., 9323384, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 5250-5253, 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Virtual, Waikoloa, Estados Unidos, 26/09/20. https://doi.org/10.1109/IGARSS39084.2020.9323384

Calibration of a SVAT Model in the Central Zone of Mexico with In-Situ Data over a Corn Field Region. / Huerta-Batiz, Hector Ernesto; Constantito-Recillas, Daniel Enrique; Monsivais-Huertero, Alejandro et al.
2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 5250-5253 9323384 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Calibration of a SVAT Model in the Central Zone of Mexico with In-Situ Data over a Corn Field Region

AU - Huerta-Batiz, Hector Ernesto

AU - Constantito-Recillas, Daniel Enrique

AU - Monsivais-Huertero, Alejandro

AU - Torres-Gomez, Aura Citlalli

AU - Judge, Jasmeet

PY - 2020/9/26

Y1 - 2020/9/26

N2 - Integrate information of soil moisture obtained through available satellite observations with low implementation cost can help to guarantee food security and sovereignty in Mexican production. With few reliable databases of the behavior of soil moisture during the growth of corn and other crops, the validation of satellite retrievals with Mexican field campaigns it is necessary. In this study, we present the calibration of a SVAT-LSP model during a complete growing season over a corn region in Central Mexico. In-situ soil moisture values and SVAT-LSP estimates of soil moisture were also compared with the SMAP L2SM product. The calibration of the SVAT-LSP model was carried out using the Monte Carlo methodology. The surface soil moisture from the calibrated SVAT-LSP model show an RMSE of 0.0258 m3/m3 when compared with in-situ values. In contrast, an RMSE of 0.1331 m3/m3 was obtained between in-situ values and SMAP L2SM retrievals.

AB - Integrate information of soil moisture obtained through available satellite observations with low implementation cost can help to guarantee food security and sovereignty in Mexican production. With few reliable databases of the behavior of soil moisture during the growth of corn and other crops, the validation of satellite retrievals with Mexican field campaigns it is necessary. In this study, we present the calibration of a SVAT-LSP model during a complete growing season over a corn region in Central Mexico. In-situ soil moisture values and SVAT-LSP estimates of soil moisture were also compared with the SMAP L2SM product. The calibration of the SVAT-LSP model was carried out using the Monte Carlo methodology. The surface soil moisture from the calibrated SVAT-LSP model show an RMSE of 0.0258 m3/m3 when compared with in-situ values. In contrast, an RMSE of 0.1331 m3/m3 was obtained between in-situ values and SMAP L2SM retrievals.

KW - Calibration

KW - LSP

KW - SMAP

KW - Soil Moisture

KW - THEx MEx

KW - in-situ campaign

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U2 - 10.1109/IGARSS39084.2020.9323384

DO - 10.1109/IGARSS39084.2020.9323384

M3 - Contribución a la conferencia

AN - SCOPUS:85101974917

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 5250

EP - 5253

BT - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020

Y2 - 26 September 2020 through 2 October 2020

ER -

Huerta-Batiz HE, Constantito-Recillas DE, Monsivais-Huertero A, Torres-Gomez AC, Judge J. Calibration of a SVAT Model in the Central Zone of Mexico with In-Situ Data over a Corn Field Region. En 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. p. 5250-5253. 9323384. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS39084.2020.9323384

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

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