Abstract: New characteristic parameters of spectral curve was used to estimating chlorophyll content for spring wheat at irrigated and dry land, determination of canopy spectral, chlorophyll content, leaf width and seedling height of spring wheat at different area, using the differences of spectral curve peak-valley of spring wheat at different area. Through analyzing the relationship between characteristic parameters of spectral curve reflectance and chlorophyll content, the chlorophyll content monitor models of different area are established respectively and test its precision. The results showed that, correlation had a significantly difference among irrigated land, shady land, sunny and double-sided land at 723 nm, 730 nm and 736 nm pre and post. Before 723 nm, 730 nm and 736 nm, correlation coefficient was negatively related, after 723 nm, 730 nm and 736 nm, correlation coefficient was positively related. Characteristic parameters from green peak, yellow peak region of spectral curve and anles formed of green peak display better correlation with wheat chlorophyll content, irrigated land, shady land, sunny and double-sided land have significant correlation with Kpv, Kb and GPA1 respectively. Correlation coefficients were higher than 0.80. Parabola and linear model was the best model of estimating spring wheat chlorophyll content at different area, model R2 were more than 0.89, and predictive are higher than 92%. The results would provide new ideas and methods to using hyper spectral information for monitoring wheat growth and yield.