Quantifying the green view indicator for assessing urban greening quality: An analysis based on Internet-crawling street view data-Reference-Cited by-同舟云学术

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Quantifying the green view indicator for assessing urban greening quality: An analysis based on Internet-crawling street view data

Published:2020-06 Issue: Volume:113 Page:106192
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Chen Jinjin,Zhou Chuanbin^ORCID,Li Feng

Funder

National Key R&D Program of China

Youth Innovation Promotion Association CAS

National Natural Science Foundation of China

Natural Science Foundation of Beijing

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference36 articles.

1. Automatic tree species recognition with quantitative structure models;Åkerblom;Remote Sens. Environ.,2017

2. Relationship between perceived greenery and width of visual fields;Aoki;J. Jpn. Inst. Landsc. Archit.,1987

3. How smart growth and green infrastructure can mutually support each other—A conceptual framework for compact and green cities;Artmann;Ecol. Ind.,2019

4. Is neighborhood green space associated with a lower risk of type 2 diabetes? Evidence from 267072 Australians;Astell-Burt;Diabetes Care,2014

5. Greener neighborhoods, slimmer people? Evidence from 246920 Australians;Astell-Burt;Int. J. Obes.,2014

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