In China, smog pollution is becoming increasingly serious with perennial occurrence. Moreover, it will be likely to exist within a few decades. The effect of smog on the reflectance spectrum measurement is inevitable. The reflectance spectra are the basis of many remote sensing parameters retrieval, so the quantitative analysis of the smog impact on the typical spectral signatures measurement is of great significane. In this paper, different smog conditions( clear sky, PM35, PM75, PM150, PM108) impact on the reflectance spectral curve of the main features(vegetable, cement, soil) is analyzed in a simple simulation laboratory, which is of great importance to remote sensing monitoring and application.The main research conclusions are as follows: the main features(grass, cement, soil) reflectance are the highest under clear sky while the spectral curves are the smoothed; the value of features reflections shows a decreasing trend and the curves experience ups and downs, no longer smooth when the concentration of smog particles increasing; But the decline sees a different trend and there is no obvious law to follow; the smog impact varies according to different bands, moisture conditions and particulate concentration. As a result, it is difficult to eliminate the smog effect with statistical law; the smog impact on the accuracy of many remote sensing parameters and remote sensing applications in many ways. The effects of smog on measured ground object spectrum still need to be further studied.