A remote sensing and modeling integrated approach for constructing continuous time series of daily actual evapotranspiration

• DOI: 10.1016/j.agwat.2021.107320
• Publication Date: 2021-11-15T18:04:21Z
• Authors: Hassan Awada; Simone Di Prima; Costantino Sirca; Filippo Giadrossich; Serena Marras; Donatella Spano; Mario Pirastru
• Keywords: Crop coefficient; FluxNet

Satellite remote sensing-based surface energy balance (SEB) techniques have emerged as useful tools for quantifying spatialized actual evapotranspiration at various temporal and spatial scales. However, discontinuous data acquisitions and/or gaps in image acquisition due to cloud cover can limit the applicability of satellite sensing (RS) agriculture water management where continuous time series daily crop (ETc act) are more valued. The aim research is construct ETc act starting from estimates obtained by SEB modelling (ETa eb) on Landsat-TM images. SEBAL model was integrated with FAO 56 evaporation model, RS-retrieved vegetative biomass dynamics (by NDVI) on-field measurements soil moisture potential evapotranspiration. procedure validated an eddy covariance tower a vineyard partial coverage south Sardinia Island, Italy. modeling approach showed good reproduction observed (R2 =0.71, MAE=0.54 mm d-1, RMSE=0.73 d-1). A cumulative monthly analysis importance integrating parameters that capture changes soil-plant-atmosphere (SPA) continuum between Landsat acquisitions. comparison referenced ET fraction (ETrF) method considers only weather variability ETo) confirmed lead proposed spring/early summer periods when vegetation significant weight process. applied also robust constructing missing under scenarios limited cloud-free presented has great near real monitoring scheduling irrigation practices. Further testing this diverse dataset integration be analyzed future work.