Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level

Abstract Grapevine simulation models are mostly used to estimate plant development, growth and yield at plot scale. However, the spatial variability of pedologic micro-climatic conditions can influence vine growth, leading a sub-field heterogeneity in vigor final that may be better estimated through assimilation high resolution data crop models. In this study, grapevine intercepted radiation fruit-set was as input for model biomass accumulation two Tuscan vineyards (Sites A B). Site A, model, forced with derived from leaf area index (LAI), measured canopy level three main areas vineyard, provided satisfactory pruning weight (r 2 = 0.61; RMSE 19.86 dry matter g m −2 ). B, Normalized Difference Vegetation Index (NDVI) Sentinel-2A images firstly re-scaled account fraction cover over study then proxy each single pixel. These were drive accounting reproduce pixel scale 0.47; 75.52 This represents first step towards realization decision tool supporting winegrowers selection most appropriate agronomic practices reducing level.