Abstract: In order to improve the estimated accuracy of daily mean temperature，multiple regression equations were constru-cted by coupling microwave brightness temperature and geographical factors，which realized the calculation of daily mean temperature of the study area in 2010. Upon verification of the obtained daily mean temperature，the Root-Mean-Square betw-een the simulated results and the observations from weather station was 1.75℃. The addition of the microwave brightness c-an increase the estimated accuracy of daily mean temperature by 0.37℃. The dynamic graph for spring maize developmental phase constructed in the study improved the compatibility between the monitoring indicators and the developmental phaseat the monitoring time of spring maize for chilling injury. The results obtained from monitoring spring maize for chilling in-jury in Shaanxi-Gansu-Ningxia are and the Yearbook of Meteorological Disasters in China in 2011 are consistent with eachother in time and space.The chilling injury monitoring method constructed in the study is simple and effective，and it can p-rovide technical support for the dynamic monitoring for chilling injury of spring maize on a large scale in Shaanxi-Gansu-Ningxia.