Abstract: Color is a key component of the aesthetic quality of turf and is often evaluated in field studies. Hyperspectral parameters were used to develop improved and objective Methodsto quantify turf color and they were tested to determine if they could be used to measure turf canopy chlorophyll density and to evaluate correlations between hyperspectral parameters and visual ratings. Tall fescue (Festuca arundinacea cv. Watchdog), Kentucky Bluegrass (Poa pratensis cv. Liberator), Bermudagrass (Cynodon dactylon cv. Common), and Creeping bentgrass (Agrostis stolonifera cv. Putter) were managed during the 2007 growing season. Turf canopy hyperspectral reflectance, chlorophyll density and visual ratings were measured after spraying fertilizers (N and Fe) on turfgrass leaf surfaces. The canopy hyperspectral reflectance of four different turfgrasses significantly differed in chlorophyll density. Nitrogen or nitrogen +Fe significantly increased chlorophyll density and decreased spectral reflectance in visible wavebands. There was a significant negative correlation between turf chlorophyll density and green band (531 nm) reflectance value. Furthermore, step regression analysis indicated that the reflectance of green wavebands 531 nm and 562 nm were the most sensitive to turf chlorophyll density. A strong agreement was observed between visual assessment of turfgrass color and color value estimated by hyperspectral analysis when both Methodswere done. Therefore, hyperspectral reflectance analysis can be used to estimate turfgrass chlorophyll density and to quantify color differences among different turf species.