The terrestrial carbon cycle varies dynamically over short periods that can be difficult to observe. Geostationary (“weather”) satellites like the Geostationary Environmental Operational Satellite - R Series (GOES-R) deliver near-hemispheric imagery at a ten-minute cadence, and new imagers onboard like the Advanced Baseline Imager (ABI) measure visible and near-infrared spectral bands often to estimate land surface properties and carbon dioxide flux. GOES-R data are designed for real-time dissemination and are difficult to link with eddy covariance time series of land-atmosphere carbon dioxide exchange. We compiled time-series of GOES-R land surface attributes including visible and near-infrared reflectances, land surface temperature, and downwelling shortwave radiation (DSR) at 314 ABI fixed grid pixels containing eddy covariance towers from August 2021 through 2022. By connecting observation networks that infer rapid changes to the carbon cycle, we can gain a richer understanding of the processes that control it.