Abstract: In order to further explore the relationship between near-infrared band reflectance of maize and its chlorophyll content, the author analyzed the relationship between chlorophyll content of maize and nearinfrared band reflectance and vegetation index by linear and non- linear methods to establish the optimum chlorophyll content prediction model. The results showed that the correlation spectral reflectance and chlorophyll content was great at near-infrared band; chlorophyll content had highly significant correlation with RVI (R1001/R760), RSI (R765/R720), NDVI (R990-R760)/(R760+R990), NDSI (R813-R763)/(R813+R763), CCI (D794/D763) and so on, and NDVI had the biggest correlation index (0.91). Determination coefficient R2 of all quadratic polynomial adopted RVI、 RSI、 NDVI、 NDSI reached 0.75 in the maize chlorophyll content prediction model based on nearinfrared band vegetation index. The quadratic polynomial which based on NDVI at 990, 760 nm was the optimum maize chlorophyll content prediction model, it had the biggest determination coefficient (R2=0.855) and lesser RMSE (2.433) and RE% (0.61%). All those results could offer basis for using spectral information to reflect chlorophyll content in maize growth condition.