 The study presents a new methodology to estimate two-source surface energy balance system, TSS-EBS, based on Moninobakov's similarity theory and SU-2002 principles, which uses fewer input datasets from satellite and meteorological observations to obtain fluxes on local as well as regional scales. The results show that the TSS-EBS exhibits relatively better approximations of sensible heat flux, compared with one-source S-EBS, by reducing the error by 27%. Additionally, the proposed methodology provides an unprecedented opportunity for quantifying improved energy budgets, and partitioning fluxes between soil and canopy in an accurate, and computationally efficient approach for better plant-soil atmosphere interaction studies. This article was authored by Mohammed Safras Khan, Jong Jin-baek, and Min Ha Choi.