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Synthetic images to map daily evapotranspiration in field scale using SEBAL model and ESTARFM algorithm
2020
Australian Journal of Crop Science
Many applications in water resource management require evapotranspiration (ET) information at the daily and field-level scales; however, no satellite system currently operating is able to capture all the resources of ET dynamics in an agricultural field. Thus, the objective of this study was to apply the SEBAL (Surface Energy Balance Algorithm for Land) and ESTARFM (Enhanced Adaptive Reflectance Fusion Model) methodology to estimate the daily ET in an agricultural area in the municipality of
doi:10.21475/ajcs.20.14.03.p2202
fatcat:3dms5kfwhvhfjam5ihx6iejdye