| With the accelerating of urbanization process, the green open space on the lakeside is constantly being eroded by hard space and agricultural land, the lake wetland and waterfront ecological environment are destroyed. As a result, the eco-efficiency of waterfront green land has been paid more and more attention. Based on green infrastructure as the breakthrough point, this paper selected lake hubs in Wuhan and study the living vegetation volume characteristics in them, aiming to guide planning and construction of future waterfront green land.This paper collected the survey data of leaf area index (LAI) in different plant communities of Wuhan in 2010, established a correlation equation between the measured LAI and the vegetation index RVI extracting from remote sensing image, Thus inversed the overall distribution of leaf area index in Wuhan city region scope. And set evaluation parameters factors to choose green infrastructure hub in Wuhan, then screened out higher priority lake hubs from the Selected hubs and determined its buffering range.On this basis, this paper estimated the amount of three-dimensional green quantity for each lake hub, and analysised the characteristic of 3D green quantity on researched area. The main research results are as follows:(1) Using the function model to regress the measured leaf area index and ratio vegetation index RVI, we found the degree of fitting is better. The regression equation is: Y=0.012X3-0.207X2+2.061X-0.508.(2) The hubs which selected through the evaluation system are mostly concentrated on large landscape patches.(3) Through lake important evaluation system, selected 25 lake hubs, and identify their range.(4) The result of the comparison and analysis on eigenvalues living vegetation volume of lake hubs is:the Wu Lake and Wild Lake’s minimum LAI are the highest, while the Meidian Reservoir is the lowest; the She Lake’s maximum LAI is the highest, but the Moshui Lake is the lowest; the Xiaoshe Lake’s mean LAI is the highest, when the Meidian Reservoir is in the middle, and the Wu Lake is the lowest.(5) The results of different level living vegetation volume of each lake hub are: patches of high living vegetation volume are very little, while patches of medium living vegetation volume’s scale is large. |