In order to explore the effect of the newly added red-edge bands of GF-6 satellite on the identification of summer maize planting area, Lanling county of Shandong province is taken as the study area. Based on the multi-temporal GF-6 wide field view (WFV) remote sensing images, 4 band combination schemes are constructed, and the separability of sample types of different schemes is analyzed combined with the ground data. The support vector machine (SVM) method is used to extract the summer maize planting areas of different previous crops in the study area, and the spectral reflectance changes and identification accuracy are analyzed. The results are shown below. The two red-edge bands of GF-6 can improve the degree of differentiation between summer maize and other crops in different phenological periods; compared with the absence of red-edge bands, the degree of differentiation between different crops improves with the participation of red-edge bands. The overall classification accuracy of summer maize sown after garlic and winter wheat increases from 80.1% to 90.3% and from 77.3% to 91.1%, i.e., increases by 10.2% and 13.8%, respectively; Kappa coefficient increases from 0.60 to 0.80 and from 0.56 to 0.81, respectively. The classification results show that the newly added red-edge bands can significantly improve the accuracy of summer maize’s identification and extraction, and provide reference for the agricultural application of red-edge bands.