TY - GEN
T1 - DATA ASSIMILATION OF REMOTELY SENSED SOIL MOISTURE TO DETECT WATER STRESS PERIODS IN AGRICULTURAL AREAS
AU - Huerta-Batiz, Héctor Ernesto
AU - Constantino-Recillas, Daniel Enrique
AU - Monsiváis-Huertero, Alejandro
AU - Aparicio-García, Ramón Sidonio
AU - Arizmendi-Vasconcelos, Eduardo
AU - Jiménez-Escalona, José Carlos
AU - Zambrano-Gallardo, Cira Francisca
AU - Judge, Jasmeet
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this study, a data assimilation framework based on the Ensemble Kalman Filter was implemented including a soil-vegetation-atmosphere energy transfer (SVAT) model. The SVAT model has been calibrated with in-situ data in the central region of Mexico, with temperate subhumid climate. The soil moisture information from ten locations was scaled within a 36km satellite pixel. Both synthetic observations and SMAP SM retrieval were assimilated and they improved by 29% compared to open-loop simulations. Particularly, the assimilated soil moisture allows us to have a better characterization of periods of water stress for corn cultivation.
AB - In this study, a data assimilation framework based on the Ensemble Kalman Filter was implemented including a soil-vegetation-atmosphere energy transfer (SVAT) model. The SVAT model has been calibrated with in-situ data in the central region of Mexico, with temperate subhumid climate. The soil moisture information from ten locations was scaled within a 36km satellite pixel. Both synthetic observations and SMAP SM retrieval were assimilated and they improved by 29% compared to open-loop simulations. Particularly, the assimilated soil moisture allows us to have a better characterization of periods of water stress for corn cultivation.
KW - Data assimilation
KW - EnKF
KW - In-situ campaign
KW - SMAP
KW - SVAT
KW - Soil moisture
KW - THEx-Mex
UR - http://www.scopus.com/inward/record.url?scp=85126069699&partnerID=8YFLogxK
U2 - 10.1109/IGARSS47720.2021.9553228
DO - 10.1109/IGARSS47720.2021.9553228
M3 - Contribución a la conferencia
AN - SCOPUS:85126069699
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1331
EP - 1334
BT - IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Y2 - 12 July 2021 through 16 July 2021
ER -