Standardized Green View Index and Quantification of Different Metrics of Urban Green Vegetation Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.3390/su12187434
Urban greenery is considered an important factor in sustainable development and people’s quality of life in the city. To account for urban green vegetation, Green View Index (GVI), which captures the visibility of greenery at street level, has been used. However, as GVI is point-based estimation, when aggregated at an area-level by mean or median, it is sensitive to the location of sampled sites, overweighing the values of densely located sites. To make estimation at area-level more robust, this study aims to (1) propose an improved indicator of greenery visibility (standardized GVI; sGVI), and (2) quantify the relation between sGVI and other green metrics. Experiment on an hypothetical setting confirmed that bias from site location can be mitigated by sGVI. Furthermore, comparing sGVI and Normalized Difference Vegetation Index (NDVI) at the city block level in Yokohama city, Japan, we found that sGVI captures the presence of vegetation better in the city center, whereas NDVI is better at capturing vegetation in parks and forests, principally due to the different viewpoints (eye-level perception and top-down eyesight). These tools provide a foundation for accessing the effect of vegetation in urban landscapes in a more robust matter, enabling comparison on any arbitrary geographical scale.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/su12187434
- https://www.mdpi.com/2071-1050/12/18/7434/pdf?version=1599723118
- OA Status
- gold
- Cited By
- 64
- References
- 34
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W3084025734Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/su12187434Digital Object Identifier
- Title
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Standardized Green View Index and Quantification of Different Metrics of Urban Green VegetationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-09-10Full publication date if available
- Authors
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Yusuke Kumakoshi, Sau Yee Chan, Hideki Koizumi, Xiaojiang Li, Yuji YoshimuraList of authors in order
- Landing page
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https://doi.org/10.3390/su12187434Publisher landing page
- PDF URL
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https://www.mdpi.com/2071-1050/12/18/7434/pdf?version=1599723118Direct link to full text PDF
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- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2071-1050/12/18/7434/pdf?version=1599723118Direct OA link when available
- Concepts
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Normalized Difference Vegetation Index, Vegetation (pathology), Visibility, Vegetation Index, Index (typography), Environmental science, Physical geography, Geography, Computer science, Leaf area index, Meteorology, Ecology, Medicine, Biology, World Wide Web, PathologyTop concepts (fields/topics) attached by OpenAlex
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64Total citation count in OpenAlex
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2025: 10, 2024: 16, 2023: 17, 2022: 11, 2021: 9Per-year citation counts (last 5 years)
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34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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