This study has two purposes. One of them is to establish grasping methods color feature of streetscapes. The other is to clarify showing the indicator of “unity” of streetscape color. I have developed a method to shoot streets with a video camera and to correct and convert the data to CIEL*a*b*. In order to create a good landscape it is necessary to “unify” the color of the streetscape and avoid monotony. I clarified that the first principal component contribution ratio obtained by principal component analysis of the streetscape image data is an indicator of unity of the streetscape color. I also found that monotonousness increases as the standard deviation is small.