articleEnvironment InternationalFeb 20, 2019GOLD OA

Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China

Utrecht University · China University of Geosciences · +1 more institution

PubMed
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Abstract

Background

Residential green and blue spaces may be therapeutic for the mental health. However, solid evidence on the linkage between exposure to green and blue spaces and mental health among the elderly in non-Western countries is scarce and limited to exposure metrics based on remote sensing images (i.e., land cover and vegetation indices). Such overhead-view measures may fail to capture how people perceive the environment on the site.

Objective

This study aimed to compare streetscape metrics derived from street view images with satellite-derived ones for the assessment of green and blue space; and to examine associations between exposure to green and blue spaces as well as geriatric depression in Beijing, China.

Citation impact

584
total citations
FWCI
27.80
Percentile
100%
References
92
Citations per year

Authors

6

Topics & keywords

Keywords
  • Beijing
  • Normalized Difference Vegetation Index
  • Geography
  • Geriatric Depression Scale
  • Mental health
  • China
  • Land cover
  • Vegetation (pathology)
UN Sustainable Development Goals
  • Sustainable cities and communities
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Funding