Remote sensing-based crop biomass with water or light-driven crop growth models in wheat commercial fields

This paper explores the ability of Remote Sensing data from space platforms combined with available meteorological parameters to monitor crop biomass accumulation at satellite scale in a direct, operational way, exploiting the temporal information from time series of multispectral images. We describe a methodology to estimate biomass growth by integrating VI-based biophysical parameter and meteorological input along the growing cycle into the physiologically-based crop growth models, employing water or light use efficiency.