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
N1 - Publisher Copyright:
© 2020 IEEE.
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
UR - http://www.scopus.com/inward/record.url?scp=85101974917&partnerID=8YFLogxK
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 -
