Reducing the climate impacts related to agricultural activities is central to developing agricultural climate solutions. Due to the size of the operation in Canada, livestock grazing management practices can have a significant impact on environmental health and climate change. The objective of this study was to assess whether adopting an adaptive multi-paddock (AMP) grazing system would reduce radiative forcing due to changes in albedo and CO2 assimilation compared to conventional grazing systems. Using high-resolution multi-temporal optical satellite data from Landsat-8 and Sentinel-2, seasonal dynamics of albedo and the photosynthetic capacity of pasturelands for two contrasting grazing practices in the Province of Alberta were compared. A radiation use efficiency model was used to estimate grassland biomass accumulation through the growing season. The results showed that remote sensing based modeling of gross primary productivity (GPP) captured the seasonal variability of carbon assimilation well compared with flux measurements obtained from AmeriFlux sites for grasslands. Results also showed that differences in the seasonal dynamics of surface albedo and photosynthetic activities, as well as growing season GPP, existed between the two grazing management regimes; however, the differences are not consistent across different grazing sites in Alberta. This indicates that remote sensing-based modeling provides useful spatial-temporal information on pastureland performance, however, further in-depth studies are needed to understand the roles of site-specific environmental, climatic, and management factors in pastureland health and climate impacts.