Estimation and analysis of green land variation based on similarity theory

Abstract

This paper focuses on the estimation of green land variation with similarity theory by using two temporal spatial data in Shenzhen. The location, shape and areas of green land units have been used as the similarity elements. Thus the similarity coefficients can be defined. The ratio of overlapping number of green patches to the intersecting number of green patches indicates the location variation of green land. The ratio of minimum to maximum shape index of green land indicates the shape variation of green land. With the same method, the areas variation coefficient has also been obtained. Combined with the analytic hierarchy process, the weights of three similarity elements coefficients can be decided. By comparison with the distinguished threshold the estimation of different green land variation has been made. The result shows that the estimation of green land variation based on similarity theory is feasible. The research of this paper has also provided effective method for the further assessment of green land development in Shenzhen special economic zone.