Tuning the Monitoring of Actual Daily Evapotranspiration Merging Satellite Data Fusion and Surface Energy Balance
D. Gómez-Candón, Á. Sánchez-Virosta, Y. Pérez, J. M. Sánchez, J. González-Piqueras and J. M. Galve, "Tuning the Monitoring of Actual Daily Evapotranspiration Merging Satellite Data Fusion and Surface Energy Balance," IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 2803-2806, doi: 10.1109/IGARSS53475.2024.10640711.
he estimation of actual daily evapotranspiration (ET) at field scale from satellite imagery poses a challenge for water management due to the spatio-temporal limitations of the current sensors operating in the thermal infrared. This study introduces a methodology that aims to address these issues 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.
he estimation of actual daily evapotranspiration (ET) at field scale from satellite imagery poses a challenge for water management due to the spatio-temporal limitations of the current sensors operating in the thermal infrared. This study introduces a methodology that aims to address these issues 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.