Journal of Digital Landscape Architecture

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Assessing the Green View Index in Chinese Cities: An Example with Data from Eighty Cities

The green view index (GVI) can have a positive impact on residents' health. It can complement the evaluation dimension of urban greening construction, which is essential for urban renewal and development in China. In this study, a total of 56 million street images from 80 national health cities in China were selected to analyze the level and variation of urban greenery in China. The study results show that the average level of GVI in the sample cities is 22.86%, and there is still room for improvement in the construction of urban greening at the spatial level. Although the natural geography of the western region is poor, most of the cities have a high level of GVI. In addition, the study further verifies the critical role of using GVI as an evaluation dimension of urban greening construction by comparing and analyzing GVI with NDVI values. It is hoped that the results of this study can provide data support and reference for the future urban greening construction in China.

Autor / Author: Fengjing, Li; Dong, Li; Liwei, Xie; Yuan, Tian
Institution / Institution: Tsinghua University/China; Tsinghua University/China; Tsinghua University/China; Tsinghua University/China
Seitenzahl / Pages: 10
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA – Journal of Digital Landscape Architecture, 7-2022
Tagung / Conference: Digital Landscape Architecture 2022 – Hybrid Landscapes
Veranstaltungsort, -datum / Venue, Date: Harvard University, Cambridge Mass, USA 09-06-22 - 10-06-22
Schlüsselwörter (de):
Keywords (en): Green view index (GVI), Full Convolutional Networks (FCN), Normalized Difference Vegetation Index (NDVI), spatial distribution, regional differences
Paper review type: Full Paper Review
DOI: doi:10.14627/537724028
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