Evapotranspiration estimates derived using thermal-based satellite remote sensing and data fusion for irrigation management in California vineyards

摘要: Irrigation in the Central Valley of California is essential for successful wine grape production. With reductions water availability much due to drought and competing water-use interests, it important optimize irrigation management strategies. In current study, we investigate utility satellite-derived maps evapotranspiration (ET) ratio actual-to-reference ET (fRET) based on remotely sensed land-surface temperature (LST) imagery monitoring crop use stress vineyards. The Disaggregated Atmosphere Land EXchange Inverse (ALEXI/DisALEXI) surface-energy balance model, a multi-scale remote-sensing framework with operational capabilities, evaluated over two Pinot noir vineyard sites central that are being monitored as part Grape Remote-Sensing Atmospheric Profile Evapotranspiration eXperiment (GRAPEX). A data fusion approach employed combine time-series retrievals from multiple satellite platforms generate estimates at both high spatial (30 m) temporal (daily) resolution required field-scale management. Comparisons micrometeorological indicate reasonable model performance, mean absolute errors 0.6 mm day−1 daily time step minimal bias. Values fRET agree well tower observations reflect known irrigation. Spatiotemporal analyses illustrate ability ALEXI/DisALEXI/data package characterize heterogeneity within surrounding landscape. These findings will inform development strategies integrating mapping series into framework, providing actionable information regarding field regional scale multi-annual scales.