An integrated planning method for open space of urban street landscape based on remote sensing technology

In order to overcome the problems of poor quality and low comprehensive score of traditional landscape open space planning methods, this paper proposes a new landscape integration planning method of street open space based on remote sensing technology. This method uses remote sensing technology to investigate the open space, and the remote sensing image is corrected, enhanced, and image data fusion pre-processed. Through setting the landscape index of urban open space to determine the spatial distribution pattern, combined with the scale, structure, type and function of urban street landscape open space, the relevant pattern index is determined to realise the integrated planning of spatial landscape. The results showed that the greening rate increased by 91.8%. The boundary continuity index was increased by 0.68, the green coverage, biodiversity and traffic flow index were increased by 0.145, 0.235 and 0.983, respectively, while the spatial structure (SS) index was increased by 0.967.