Abstract: Combinations of TM remote sensing images of South China forest area are analyzed and com pared. The result shows that the TM453 cembination is better for the forest vegetation recognition by visu al interpretation and computer automatic classification. The TM472 color composite image is helpful to the interpretation of young growth, sparse woods and barren mountain. And on the TM472 color-composite image Chinese fir forest can be easily interpreted.