Exploring the Use of Vegetation Indices for Validating Crop Transpiration Fluxes Computed with the MOHID-Land Model. Application to Vineyard

The success of an irrigation decision support system (DSS) much depends on the reliability information provided to farmers. Remote sensing data can expectably help validate that at field scale. In this study, MOHID-Land model, core engine IrrigaSys DSS, was used simulate soil water balance in irrigated vineyard located southern Portugal during three growing seasons. Modeled actual basal crop coefficients and transpiration rates were then compared with corresponding estimates derived from normalized difference vegetation index (NDVI) computed Sentinel-2 imagery. On one hand, hydrological model able successfully estimate monitored seasons, exposing need for improved schedules minimize percolation losses. other remote products found correspondence outputs despite conceptual differences between both approaches. With necessary precautions, those be complement farmers vine crop, further contributing regular validation absence datasets.