In airborne gravimeter and ground gravimeter measurement unit, there often occur drift phenomena.If this drift is regarded as a linear relationship, the first and last data are used to do drift correction process.Nevertheless, the airborne gravimeter structure is complex, and the sensor drift is caused by many factors, with the most critical factor being the environment temperature change disturbance.It is impossible for us to avoid airborne gravity dramatic changes in the temperature difference of flight measurement between summer and winter.The authors used the airborne gravimeter static data as an example.First, the data need gravity tide correction and drift correction by using a least squares method.Secondly, correlation analysis is used to analyze the static data and instrument thermostatic temperature to obtain a strong correlation characteristics.Finally, linear regression equation is set up to calculate the static data and, as a result, the gravity of the final corrected precision is greatly improved.This correlation analysis method has practical significance for the in-depth understanding of sensor drift correction methods and pre-study of dynamic measurement data in the drift correction.