The availability of a new generation of freely distributed Earth Observation (EO) data represents an opportunity for an affordable assessment of Above-Ground Biomass (AGB). The aim of this study is to design a new system that supports the two dimensional information provided by optical EO data with height differences derived from Sentinel-1 Radar data. The applied system combines pixel based data processing including deriving the normalized difference vegetation index (NDVI) and the NDVI multi-temporal range (NDVIR) from Landsat-8, and interferometry based Local Heights range (LHR) analysis from Sentinel-1 data, with an object based biomass assessment regression algorithm. An ANOVA analysis was applied to test the correlation strength between different data and field above-ground biomass, which showed an effective correlation of Landsat-8's band 4 (near infra-red), NDVI, and Sentinel-1 height. Multi-temporal NDVI range shows a lower significant and be excluded in the final regression. The results of AGB calculations show a significantly higher correlation with AGB, R2=0.80 compared to R2=0.71 when conventional systems applied to the same datasets.