Frank and Karn correlated vegetation and remote sensing measurements with CO₂flux data to determine which measured parameter was the most accurate predictor of CO₂flux in grazed, ungrazed, and shrub-infested grasslands in the northern great plains. The measured parameters did not vary greatly among the three grassland sites, indicating that CO₂flux and remote sensing data for grazed, ungrazed, and shrub-infested grasslands was similar. However, the normalized difference vegetation index (NDVI), a remote sensing measurement, had the strongest relationship with CO₂flux. The similarity of CO₂flux and NDVI measurements among grassland sites suggests that NDVI can be used to determining CO₂flux both at individual sites but also on a regional scale.
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