  Streetscapes are an important part of the urban landscape, analysing and
studying them can increase the understanding of the cities' infrastructure,
which can lead to better planning and design of the urban living environment.
In this paper, we used Google API to obtain street view images of Osaka City.
The semantic segmentation model PSPNet is used to segment the Osaka City street
view images and analyse the Green View Index (GVI) data of Osaka area. Based on
the GVI data, three methods, namely corridor analysis, geometric network and a
combination of them, were then used to calculate the optimal GVI paths in Osaka
City. The corridor analysis and geometric network methods allow for a more
detailed delineation of the optimal GVI path from general areas to specific
routes. Our analysis not only allows for the calculation of specific routes for
the optimal GVI paths, but also allows for the visualisation and integration of
neighbourhood landscape data. By summarising all the data, a more specific and
objective analysis of the landscape in the study area can be carried out and
based on this, the available natural resources can be maximised for a better
life.
