AVHRR data was used to investigate whether the NDVI and Fr fields could be aggregated linearly from 1 km up to 16 km pixel resolutions. Results indicated that linearly averaging the NDVI field results in minimal errors, while averaging the Fr field was unacceptable. However, the calculation of Fr from linearly averaged NDVI was acceptable. Futher, latent heat (LE) fields were derived from a Soil-Vegetation-Atmosphere-Transfer (SVAT) model via an inversion based on surface radiometric temperature and the Fr fields. High resolution airborne estimates of LE compared well with eddy-covariance data collected at the time of overpass while satellite estimates of LE at coarser resolutions compared poorly with the surface measurements. However, after aggregating the high resolution data (Fr and surface radiometric temperature) to the resolution of the satellite, good agreement was observed. Finally, the aggregated remotely sensed vegetation and surface radiometric temperature data were used in conjunction with MM5 to assess any improvement in forcasting ability through the application of a more physically realistic representation of the surface conditions.