Vegetation health product derived from NOAA polar-orbiting meteorological satellite data was proven to be very useful for monitoring global vegetation condition change. The Advanced Baseline Imager (ABI) onboard Geostationary Operational Environmental Satellite R series (GOES-R) will have similar visible and IR channels as the Advanced Very High Resolution Radiometer (AVHRR) of the NOAA satellites, which makes it possible to produce improved vegetation health product using frequent daily observations. The data from Spinning Enhanced Visible & Infra-Red Imager (SEVIRI) onboard the Meteosat Second Generation (MSG) satellites during 2005-2008 was used as proxy dataset to develop and validate the GOES-R/ABI vegetation health product system. The results showed that frequent daily observations (e.g., 15 minutes interval) reduced cloud contamination in the Normalized Difference Vegetation Index (NDVI), which makes it possible to obtain 7-day composite NDVI map with cloudy pixels less than 8%. Smoothing filter was applied to NDVI time series in order to remove the effect of remaining cloud contamination. A systematic bias was noticed between NDVI derived from MSG/SEVIRI and NOAA/AVHRR data. An algorithm was developed to scale the NDVI values from different satellites to make them comparable. The effect of the geometry on NDVI was also investigated.