This paper presents a novel framework for assessing the physical consistency between two terrestrial Essential Climate Variables (ECVs) products retrieved from Earth Observation at global scale. The proposed methodology assesses the level of temporal and spatial agreement between them using multitemporal data. This is based on the analysis of their temporal changes taking into account their associated uncertainties. In this study we will show examples on the agreement between Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) retrieved by the Joint Research Center (JRC) Two-stream Inversion Package (TIP) using 17 years of MODIS surface broadband albedo products at 1km and the ones from the Copernicus Global Land Service based on the SPOT/VGT and Proba-V. This framework can identify the spatial and temporal consistency levels and provides potential information when dataset selection are used for global modeling studies.