Tunning the Monitoring of Actual Daily Evapotranspiration Merging Satellite Data Fusion and Surface Energy Balance
Researcher:
Gómez Candón, David
Congress:
2024 IEEE International Geoscience and Remote Sensing Symposium
Participation type:
Comunicación oral
Other authors:
Álvaro Sánchez-Virosta, Yeray Pérez, Juan M. Sánchez, José González-Piqueras, Joan M. Galve
Year:
2024
Location:
Athens, Greece
Publication:
Gómez-Candón, D., Sánchez-Virosta, Á., Pérez, Y., Sánchez, J. M., González-Piqueras, J., & Galve, J. M. (2024, July). Tuning the Monitoring of Actual Daily Evapotranspiration Merging Satellite Data Fusion and Surface Energy Balance. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 2803-2806). IEEE.
The estimation of actual daily evapotranspiration (ET) at field scale from satellite imagery poses a challenge for water management due to its high demand for computational resources. This study introduces a methodology that simplifies this process by estimating ET and crop coefficients (Kc) once per week. Intermediate days are gap-filled, from these calibrated Kc and reference daily evapotranspiration (ETo) values. Weekly ET estimates were obtained using recent advances in Sentinel-3, Sentinel-2 and Landsat satellite data fusion as inputs in a Two Source Energy Balance (TSEB) model. This research was carried out in a semiarid region in southeastern Spain. An experiment was conducted in a drip-irrigated almond orchard between June 5 and July 25, 2023. The resulting ET was evaluated using data from an eddy-covariance tower. An overall bias of 1.0 mm·day-1 and a root mean square error of 1.5 mm·day-1 were revealed. These results underscore the feasibility of the proposed method to monitor almond crop evapotranspiration at the field scale on a daily basis while minimizing computational workload.
The estimation of actual daily evapotranspiration (ET) at field scale from satellite imagery poses a challenge for water management due to its high demand for computational resources. This study introduces a methodology that simplifies this process by estimating ET and crop coefficients (Kc) once per week. Intermediate days are gap-filled, from these calibrated Kc and reference daily evapotranspiration (ETo) values. Weekly ET estimates were obtained using recent advances in Sentinel-3, Sentinel-2 and Landsat satellite data fusion as inputs in a Two Source Energy Balance (TSEB) model. This research was carried out in a semiarid region in southeastern Spain. An experiment was conducted in a drip-irrigated almond orchard between June 5 and July 25, 2023. The resulting ET was evaluated using data from an eddy-covariance tower. An overall bias of 1.0 mm·day-1 and a root mean square error of 1.5 mm·day-1 were revealed. These results underscore the feasibility of the proposed method to monitor almond crop evapotranspiration at the field scale on a daily basis while minimizing computational workload.